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Note: This page contains sample records for the topic "rate schedule waives" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
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1

Rate Schedules  

Broader source: Energy.gov [DOE]

One of the major responsibilities of Southeastern is to design, formulate, and justify rate schedules. Repayment studies prepared by the agency determine revenue requirements and appropriate rate...

2

Rate schedule  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298, andEpidermal Growth Factor. |INCIDENCET3PACI-T3Rate

3

2007 Wholesale Power Rate Schedules : 2007 General Rate Schedule Provisions.  

SciTech Connect (OSTI)

This schedule is available for the contract purchase of Firm Power to be used within the Pacific Northwest (PNW). Priority Firm (PF) Power may be purchased by public bodies, cooperatives, and Federal agencies for resale to ultimate consumers, for direct consumption, and for Construction, Test and Start-Up, and Station Service. Rates in this schedule are in effect beginning October 1, 2006, and apply to purchases under requirements Firm Power sales contracts for a three-year period. The Slice Product is only available for public bodies and cooperatives who have signed Slice contracts for the FY 2002-2011 period. Utilities participating in the Residential Exchange Program (REP) under Section 5(c) of the Northwest Power Act may purchase Priority Firm Power pursuant to the Residential Exchange Program. Rates under contracts that contain charges that escalate based on BPA's Priority Firm Power rates shall be based on the three-year rates listed in this rate schedule in addition to applicable transmission charges. This rate schedule supersedes the PF-02 rate schedule, which went into effect October 1, 2001. Sales under the PF-07 rate schedule are subject to BPA's 2007 General Rate Schedule Provisions (2007 GRSPs). Products available under this rate schedule are defined in the 2007 GRSPs. For sales under this rate schedule, bills shall be rendered and payments due pursuant to BPA's 2007 GRSPs and billing process.

United States. Bonneville Power Administration.

2006-11-01T23:59:59.000Z

4

2012 Transmission Rate Schedules  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Practice. Ancillary Services include: a. Scheduling, System Control, and Dispatch b. Reactive Supply and Voltage Control from Generation Sources c. Regulation and Frequency...

5

CM-1-H Wholesale Power Rate Schedule  

Broader source: Energy.gov [DOE]

Availability:This rate schedule shall be available to the South Mississippi Electric Power Association, Municipal Energy Agency of Mississippi, and Mississippi Delta Energy Agency (hereinafter...

6

Santee-3-E Wholesale Power Rate Schedule | Department of Energy  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Santee-3-E Wholesale Power Rate Schedule Santee-3-E Wholesale Power Rate Schedule Area: None System: Georgia-Alabama-South Carolina This rate schedule shall be available to public...

7

2007 Wholesale Power Rate Case Initial Proposal : 2007 Wholesale Power Rate Schedule and General Rate Schedule Provisions.  

SciTech Connect (OSTI)

This schedule is available for the contract purchase of Firm Power to be used within the Pacific Northwest (PNW). Priority Firm (PF) Power may be purchased by public bodies, cooperatives, and Federal agencies for resale to ultimate consumers, for direct consumption, and for Construction, Test and Start-Up, and Station Service. Rates in this schedule are in effect beginning October 1, 2006, and apply to purchases under requirements Firm Power sales contracts for a three-year period. The Slice Product is only available for public bodies and cooperatives who have signed Slice contracts for the FY 2002-2011 period. Utilities participating in the Residential Exchange Program (REP) under Section 5(c) of the Northwest Power Act may purchase Priority Firm Power pursuant to the Residential Exchange Program. Rates under contracts that contain charges that escalate based on BPA's Priority Firm Power rates shall be based on the three-year rates listed in this rate schedule in addition to applicable transmission charges. This rate schedule supersedes the PF-02 rate schedule, which went into effect October 1, 2001. Sales under the PF-07 rate schedule are subject to BPA's 2007 General Rate Schedule Provisions (2007 GRSPs). Products available under this rate schedule are defined in the 2007 GRSPs. For sales under this rate schedule, bills shall be rendered and payments due pursuant to BPA's 2007 GRSPs and billing process.

United States. Bonneville Power Administration.

2005-11-01T23:59:59.000Z

8

Figure 3. Production Schedules at Two Development Rates  

Gasoline and Diesel Fuel Update (EIA)

3. Production Schedules at Two Development Rates for the 95 Percent Probability of Recovering 5.7 Billion Barrels of Technically Recoverable Oil from the ANWR Coastal Plain of...

9

Figure 5. Production Schedules at Two Development Rates for the...  

Gasoline and Diesel Fuel Update (EIA)

5. Production Schedules at Two Development Rates for the 5 Percent Probability of Recovering 16.0 Billion Barrels of Technically Recoverable Oil from the ANWR Coastal Plain of...

10

igure 4. Production Schedules at Two Development Rates for the...  

Gasoline and Diesel Fuel Update (EIA)

4. Production Schedules at Two Development Rates for the Statistical Mean of Recovering 10.3 Billion Barrels of Technically Recoverable Oil from the ANWR Coastal Plain of Alaska...

11

Wholesale Power Rate Schedules | Department of Energy  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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12

NETWORK CODING-AWARE RATE CONTROL AND SCHEDULING IN WIRELESS NETWORKS  

E-Print Network [OSTI]

NETWORK CODING-AWARE RATE CONTROL AND SCHEDULING IN WIRELESS NETWORKS Hulya Seferoglu , Athina demonstrate that there is benefit from making rate control and scheduling aware of the underlying network conflicts between nodes, which should be taken into account both in rate control and in scheduling. We

Markopoulou, Athina

13

Performance Evaluation of Resource Reservation Policies for Rate-Controlled Earliest-Deadline-First Scheduling in  

E-Print Network [OSTI]

-Deadline First Scheduling, Deterministic Delay Bounds, Call Admission Control, Multi-Service Networks. Abstract- Controlled Earliest-Deadline-First (RC-EDF) scheduling discipline. EDF is known to be an optimal schedulingPerformance Evaluation of Resource Reservation Policies for Rate-Controlled Earliest

Elsayed, Khaled Fouad

14

Schedules  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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15

Schedules  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest RegionatSearchScheduled System Outages NERSC Scheduled System

16

Schedules  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administrationcontroller systems controller systemsisSchedules Schedules Print Monday, 31 August

17

Schedules  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassiveSubmitted for USMaterialstheterahertzon Home WaterScanningSchedule

18

A study of enhancements to rate monotone scheduling  

E-Print Network [OSTI]

+ 30 milliseconds, and the computation can start any time between x and x + 30 - 10 milliseconds, in order to meet the deadline. A real-time system is made up of a number of tasks, each having their own timing, precedence and resource constraints. A... of that of all other tasks in the system. However, this is usually not realizable in practice. In order to offer insight into the conditions under which the rate monotone algorithm can exceed its worst case utilization bound, Lehoczky, Sha and Ding [29...

Menon, Radhika Kozhikodakatha Veetil

1991-01-01T23:59:59.000Z

19

MISS-1-N Wholesale Power Rate Schedule | Department of Energy  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Year in3.pdfEnergy HealthComments MEMA: Comments Memo from OctoberMISS-1-N Wholesale Power Rate

20

Exploiting Schedule Slacks for RateOptimal PowerMinimum Software Pipelining #  

E-Print Network [OSTI]

­engineered compiler on Wattch power simulator, we observe that our approach can reduce dynamic energy consumptionExploiting Schedule Slacks for Rate­Optimal Power­Minimum Software Pipelining # Hongbo Yang + R systems de­ mand new compiler techniques geared toward both high performance and low power. Software

Gao, Guang R.

Note: This page contains sample records for the topic "rate schedule waives" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

This work addresses the high-rate session scheduling problem in Fractional Lambda Switching (FS)  

E-Print Network [OSTI]

Multiplexing (such as SONET/SDH) and Wavelength Division Multiplexing (WDM). Yet, Non-Immediate Forwarding (NIF-rate NIF session. An efficient scheduling algorithm, eSSM, is proposed to explore all possibilities in two modes: (1) immediate forwarding (IF) or (2) non-immediate forwarding (NIF). NIF is more

Baldi, Mario

22

SPARTA: Scheduled Power and Rate Adaptation Ramana Rao Kompella and Alex C. Snoeren  

E-Print Network [OSTI]

adaptive lazy scheduling (transmitting packets as slow as possible) to conserve energy while preserving & Balakrishnan] and SPARTA with varying look-ahead buffers. We assume the following IEEE-standard minimum SNR (in.995.981.59-2.92SNR 11Mb5.5Mb2Mb1MbRate Two simultaneous 802.11a FTP transfers assuming IEEE- standard minimum SNR

Kompella, Ramana Rao

23

Implementing Lottery Scheduling: Matching the Specializations in Traditional Schedulers  

E-Print Network [OSTI]

present in traditional non- real time process schedulers. Lottery scheduling enables flexible control over this while maintaining lottery scheduling's flexible control over relative execution rates and loadImplementing Lottery Scheduling: Matching the Specializations in Traditional Schedulers David

24

Rate Selection Analysis under Semi-Persistent Scheduling in LTE Networks  

E-Print Network [OSTI]

, orthogonal frequency division multiplexing (OFDM) transmission scheme, multiple input multiple output (MIMO) transmission capabilities, a frequency reuse of one as well as advanced coding schemes (among many other station controls and schedules all data transmissions of all terminals in its asso- ciation set, the base

Gross, James

25

Implementing Lottery Scheduling: Matching the Specializations Traditional Schedulers  

E-Print Network [OSTI]

in traditional non­ real time process schedulers. Lottery scheduling enables flexible control over relative. We achieve this while maintaining lottery scheduling's flexible control over relative execution rates a recently troduced proportional­share scheduler that enables flexible control over relative rates which CPU

26

SCE&G-1-E Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September 15,2015DepartmentDepartment ofSoft Costs »1-E Wholesale Power Rate

27

2012 Transmission Rate Schedules  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICS H. I. Park, L.2State of Matter2012 Secretary

28

FRN & Rate Schedules  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicy andExsolutionFES Committees of9,of Energy8 CH2MNews from

29

FRN and Rate Schedules  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicy andExsolutionFES Committees of9,of Energy8 CH2MNews

30

Rate Schedule CPP-2  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298, andEpidermal Growth Factor. |INCIDENCE OF ANCPP-2

31

The Schedule  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

The schedule is one of the building blocks for project development. A schedule helps determine the duration of the project, the critical activities, and when funds are required. This chapter will briefly discuss some scheduling basics.

1997-03-28T23:59:59.000Z

32

On dynamic scheduling of a parallel server system with certain graph structure  

E-Print Network [OSTI]

Primitives 2.3 Scheduling Control . Chapter 3 Sequence ofto be mutually independent. Scheduling Control The system isand service rates and scheduling control are allowed to vary

Pesic, Vladimir N.

2011-01-01T23:59:59.000Z

33

An Online Scheduling Algorithm with Advance Reservation for Large-Scale Data Transfers  

E-Print Network [OSTI]

Flow scheduling and endpoint rate control in gridnetworks.granularity and ?ner control in scheduling with a cost ofMukherjee. Control plane for advance bandwidth scheduling in

Balman, Mehmet

2012-01-01T23:59:59.000Z

34

Fair rate assignment in interference limited multi-hop networks  

E-Print Network [OSTI]

Optimal Link Scheduling and Power Control in CDMA MultihopB. Shro?. , Joint rate control and scheduling in multihopthe joint rate control and scheduling problem, and [26

Arisoylu, Mustafa

2006-01-01T23:59:59.000Z

35

Pushing schedule derivation method  

SciTech Connect (OSTI)

The development of a Pushing Schedule Derivation Method has allowed the company to sustain the maximum production rate at CSH`s Coke Oven Battery, in spite of having single set oven machinery with a high failure index as well as a heat top tendency. The stated method provides for scheduled downtime of up to two hours for machinery maintenance purposes, periods of empty ovens for decarbonization and production loss recovery capability, while observing lower limits and uniformity of coking time.

Henriquez, B. [Compania Siderurgica Huachipato S.A., Talcahuano (Chile)

1996-12-31T23:59:59.000Z

36

ADMINISTRATIVE RECORDS SCHEDULE 23: ADMINISTRATIVE RECORDS SCHEDULE...  

Broader source: Energy.gov (indexed) [DOE]

ADMINISTRATIVE RECORDS SCHEDULE 23: RECORDS COMMON TO MOST OFFICES ADMINISTRATIVE RECORDS SCHEDULE 23: ADMINISTRATIVE RECORDS SCHEDULE 23: RECORDS COMMON TO MOST OFFICES This...

37

Rate Schedules | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen OwnedofDepartmentEnergyFrequency | Department of EnergyRajesh DhamOne of

38

Effective Rate Period  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

of the FY Mid-Year Change 10012013 - 03312014 04012014 - 09302014 Power Rates Annual Revenue Requirement Rate Schedule Power Revenue Requirement 73,441,557...

39

Integrated production and maintenance scheduling  

E-Print Network [OSTI]

. 60 Levels of Processing Times and Rate Modifiers . . . 60 Experiment I: Comparing g C, with Methods ERI, ER2, ER3 with PC 62 Experiment I: Comparing Total CPU Time. Experiment I: Comparing Number of Schedules Explored . . . 64 65 Experiment I...: Comparing Schedule Number of Best Solution Found. . . . Experiment 2: Comparing g C, by PC Versus GLB . . . . . . . . . . . . . . . . . . . . . . . . . . 67 69 10 Experiment 2: Comparing gC, with Methods ERI, ER2, ER3, Gl, G2 with PC...

Whitaker, Laura Oakes

1996-01-01T23:59:59.000Z

40

Effective Rate Period  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

charges or credits associated with the creation, termination, or modification to any tariff, contract, or rate schedule accepted or approved by the Federal Energy Regulatory...

Note: This page contains sample records for the topic "rate schedule waives" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

Multichannel Scheduling and Its Connection to Queueing Network Control Problem  

E-Print Network [OSTI]

Multichannel Scheduling and Its Connection to Queueing Network Control Problem Pouya Tehrani , Qing scheduling problem and a closed queueing network control problem which is known to be EXP-complete, we obtain {potehrani,qzhao}@ucdavis.edu Abstract--We consider the multichannel scheduling problem where the data rate

Islam, M. Saif

42

Scheduling and Feedback Co-Design for Networked Control Systems  

E-Print Network [OSTI]

Scheduling and Feedback Co-Design for Networked Control Systems Michael S. Branicky,1 Stephen M mes- sages are transmitted). In the past, control system design and CPU scheduling or network scheduling design have normally been sepa- rated. This separation has allowed the control commu- nity

Branicky, Michael S.

43

March 29, 2008 OS:CPU Scheduling 1 CPU Scheduling  

E-Print Network [OSTI]

control of the CPU to the process selected by the short-term scheduler. Its function involves: SwitchingMarch 29, 2008 OS:CPU Scheduling 1 CPU Scheduling #12;March 29, 2008 OS:CPU Scheduling 2 Objectives Basic Concepts + Scheduling Criteria + Scheduling Algorithms + Scheduling Algorithm Evaluation + Summary

Adam, Salah

44

Chiller Start/Stop Optimization for a Campus-wide Chilled Water System with a Thermal Storage Tank Under a Four-Period Electricity Rate Schedule  

E-Print Network [OSTI]

The existence of a 1.4-million-gallon chilled water thermal storage tank greatly increases the operational flexibility of a campuswide chilled water system under a four-part electricity rate structure. While significant operational savings can...

Zhou, J.; Wei, G.; Turner, W. D.; Deng, S.; Claridge, D.; Contreras, O.

2002-01-01T23:59:59.000Z

45

15-Minute Scheduling Begins October 21st - October 16, 2014  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

CommitteesTeams Customer Training Interconnection Notices Rates Standards of Conduct Tariff TF Web Based Training Notice: 15-Minute Scheduling Begins October 21st Posted Date:...

46

Dedicated heterogeneous node scheduling including backfill scheduling  

DOE Patents [OSTI]

A method and system for job backfill scheduling dedicated heterogeneous nodes in a multi-node computing environment. Heterogeneous nodes are grouped into homogeneous node sub-pools. For each sub-pool, a free node schedule (FNS) is created so that the number of to chart the free nodes over time. For each prioritized job, using the FNS of sub-pools having nodes useable by a particular job, to determine the earliest time range (ETR) capable of running the job. Once determined for a particular job, scheduling the job to run in that ETR. If the ETR determined for a lower priority job (LPJ) has a start time earlier than a higher priority job (HPJ), then the LPJ is scheduled in that ETR if it would not disturb the anticipated start times of any HPJ previously scheduled for a future time. Thus, efficient utilization and throughput of such computing environments may be increased by utilizing resources otherwise remaining idle.

Wood, Robert R. (Livermore, CA); Eckert, Philip D. (Livermore, CA); Hommes, Gregg (Pleasanton, CA)

2006-07-25T23:59:59.000Z

47

Reviewing your schedule in Banner  

E-Print Network [OSTI]

To travel to a specific topic, please click its corresponding page number. Reviewing Your Schedule................................................... 2. Accessing Schedules from the...

skorty

2008-07-28T23:59:59.000Z

48

ADMINISTRATIVE RECORDS SCHEDULE 6: ACCOUNTABLE OFFICERS' ACCOUNTS...  

Office of Environmental Management (EM)

ADMINISTRATIVE RECORDS SCHEDULE 6: ACCOUNTABLE OFFICERS' ACCOUNTS RECORDS ADMINISTRATIVE RECORDS SCHEDULE 6: ACCOUNTABLE OFFICERS' ACCOUNTS RECORDS This schedule covers accountable...

49

Symmetry in Scheduling Problems  

E-Print Network [OSTI]

Nov 16, 2010 ... Using operating room and power generator scheduling problems ... Symmetry has been an obstacle in mixed integer linear programming...

2010-11-16T23:59:59.000Z

50

Wholesale Power Rate Schedules | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartment ofDepartment of Energy WhileTanklessLES'NeighborhoodThisApril2014 DOEOctober 1,

51

2014-2015 Power Rate Schedules  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICS H.Carbon StorageInstitute44 YWCof444 High4

52

Rate Schedule COTP-T3  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298, andEpidermal Growth Factor. |INCIDENCE OF AN

53

Rate Schedule CV-EID4  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298, andEpidermal Growth Factor. |INCIDENCE OF ANCPP-2EID4

54

Rate Schedule CV-F13  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298, andEpidermal Growth Factor. |INCIDENCE OF

55

Rate Schedule CV-NWT5  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298, andEpidermal Growth Factor. |INCIDENCE OFNWT5

56

Rate Schedule CV-RFS4  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298, andEpidermal Growth Factor. |INCIDENCE OFNWT5RFS4

57

Rate Schedule CV-SPR4  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298, andEpidermal Growth Factor. |INCIDENCE OFNWT5RFS4SPR4

58

Rate Schedule CV-SUR4  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298, andEpidermal Growth Factor. |INCIDENCE

59

Rate Schedule CV-TPT7  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298, andEpidermal Growth Factor. |INCIDENCET3

60

Rate Schedule PACI-T3  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298, andEpidermal Growth Factor. |INCIDENCET3PACI-T3

Note: This page contains sample records for the topic "rate schedule waives" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Wholesale Power Rate Schedules | Department of Energy  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up from theDepartment of Dept.| WEATHERIZATION5 | EnergyMay 7,Who WillDepartment

62

The BEST Desktop Soft Real-Time Scheduler Scott A. Banachowski and Scott A. Brandt  

E-Print Network [OSTI]

results, i.e. priority boosts should be based on rate or deadline requirements. ¯ Increasing the loadThe BEST Desktop Soft Real-Time Scheduler Scott A. Banachowski and Scott A. Brandt University-effort scheduler that handles CPU-intensive, I/O-intensive, and periodic SRT processes using a single scheduling

Brandt, Scott A.

63

On the equivalence of economic lot scheduling and switched production systems  

E-Print Network [OSTI]

On the equivalence of economic lot scheduling and switched production systems K.G.M. Jacobs from switched production systems are applied to the economic lot schedul- ing problem: i) A feedback-entrant production scheduling where parts arrive into the manufacturing system with certain (random) arrival rates

Armbruster, Dieter

64

Joint Scheduling, Power Control and Routing in Symmetric, One-dimensional, Multi-hop Wireless Networks  

E-Print Network [OSTI]

Joint Scheduling, Power Control and Routing in Symmetric, One-dimensional, Multi-hop Wireless scheduling, routing and power control that achieves max-min fair rate allocation in a multi-hop wireless that a traditional layering network approach, separating routing, scheduling, flow and power control

Paris-Sud XI, Université de

65

Scheduled System Outages  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest RegionatSearchScheduled System Outages NERSC Scheduled System Outages NERSC

66

Project Scheduling (3) Corequisite  

E-Print Network [OSTI]

) CMGT 111 Construction Materials & Methods Lab (1) CMGT 460 Project Cost Controls (3) FA SP CMGT 320 FASYMBOLS CMGT 417 Project Scheduling (3) Corequisite Offered FALL Only CMGT 240 Intro) CMGT 475 Construction Project Management (3) MATH 108 College Algebra (4) Construction Elective

Barrash, Warren

67

Project Scheduling (3) Corequisite  

E-Print Network [OSTI]

460 Project Cost Controls (3) FA SP FA CE 210/211 Surveying & Lab (3) CMGT 410 Concrete FormworkSYMBOLS CMGT 417 Project Scheduling (3) Corequisite Offered FALL Only CMGT 240 Intro Construction Project Management (3) MATH 108 College Algebra (4) MGMT 301 Leadership Skills (3) ENGL 101

Barrash, Warren

68

TOWARDS UNIFYING DATABASE SCHEDULING AND  

E-Print Network [OSTI]

1 TOWARDS UNIFYING DATABASE SCHEDULING AND CONCURRENCY CONTROL: A FRONTIER APPROACH Gregory Jones previous work in real-time database concurrency control indexconcur- rency control and scheduling has focused on combiningvariations of traditional concurrency control techniques with real-time scheduling

Rhode Island, University of

69

Optimal Power Schedule for Distributed MIMO Links  

E-Print Network [OSTI]

an integration of link scheduling and power control for MIMOmedium access control, space-time power scheduling. Fig. 1.

Rong, Yue; Hua, Yingbo

2008-01-01T23:59:59.000Z

70

Transportation Baseline Schedule  

SciTech Connect (OSTI)

The 1999 National Transportation Program - Transportation Baseline Report presents data that form a baseline to enable analysis and planning for future Department of Energy (DOE) Environmental Management (EM) waste/material transportation. The companion 1999 Transportation Barriers Analysis analyzes the data and identifies existing and potential problems that may prevent or delay transportation activities based on the data presented. The 1999 Transportation Baseline Schedule (this report) uses the same data to provide an overview of the transportation activities of DOE EM waste/materials. This report can be used to identify areas where stakeholder interface is needed, and to communicate to stakeholders the quantity/schedule of shipments going through their area. Potential bottlenecks in the transportation system can be identified; the number of packages needed, and the capacity needed at receiving facilities can be planned. This report offers a visualization of baseline DOE EM transportation activities for the 11 major sites and the Geologic Repository Disposal site (GRD).

Fawcett, Ricky Lee; John, Mark Earl

2000-01-01T23:59:59.000Z

71

DOERS Records Schedule Cross Index to DOE Administrative Records...  

Office of Environmental Management (EM)

DOERS Records Schedule Cross Index to DOE Administrative Records Disposition Schedules DOERS Records Schedule Cross Index to DOE Administrative Records Disposition Schedules...

72

Chemotherapy Operations Planning and Scheduling  

E-Print Network [OSTI]

Feb 12, 2010 ... ning and scheduling methods for chemotherapy patients with the ... growth, control or prevent the spread of cancer cells, and/or relieve cancer...

2010-02-13T23:59:59.000Z

73

Schedule - 88-Inch Cyclotron  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest RegionatSearch WelcomeScienceProgramsSANDCurrentNational|ScatteringSchedule

74

Green Scheduling: Scheduling of Control Systems for Peak Power Reduction  

E-Print Network [OSTI]

approach to fine-grained coordination of energy demand by scheduling energy consuming control systems of the system variables only, control system execution (i.e. when energy is supplied to the system-Scheduling; Energy Systems; Peak Power Reduction; Load Balancing; I. INTRODUCTION During a major sporting event

Pappas, George J.

75

Online Energy Generation Scheduling for Microgrids with  

E-Print Network [OSTI]

Online Energy Generation Scheduling for Microgrids with Intermittent Energy Sources and Co entitled: Online Energy Generation Scheduling for Microgrids with Intermittent Energy Sources and Co schedul- ing. However, accurate prediction cannot be guaranteed due to the small scale of microgrids

Zhang, Junshan

76

ADMINISTRATIVE RECORDS SCHEDULE 9: TRAVEL AND TRANSPORTATION...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

9: TRAVEL AND TRANSPORTATION RECORDS (Revision 2) ADMINISTRATIVE RECORDS SCHEDULE 9: TRAVEL AND TRANSPORTATION RECORDS (Revision 2) This schedule covers records documenting the...

77

Abstract--Efficient scheduling for heterogeneous fractional lambda switching (FS) networks is required but  

E-Print Network [OSTI]

rates. Moreover, when non-immediate forwarding (NIF) is used in FS, it increases the scheduling complexity exponentially, while decreasing the blocking probability. Thus, NIF scheduling presents a serious forwarding - IF or (2) non- immediate forwarding ­ NIF (see Section II.B). We address the NIF scenarios since

Baldi, Mario

78

Integrated System Transmission and Ancillary Services Rate Calculation  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Transmission Rate 10 4.14 MillsKWh (L5 * 1000) 730 hours per month 7 RATE FOR SCHEDULING, SYSTEM CONTROL AND DISPATCH SERVICE FOR 2014 A. Fixed Charge Rate 22.770% (1)...

79

Integrated System Transmission and Ancillary Services Rate Calculation  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Transmission Rate 10 4.00 MillsKWh (L5 * 1000) 730 hours per month 7 RATE FOR SCHEDULING, SYSTEM CONTROL AND DISPATCH SERVICE FOR 2015 A. Fixed Charge Rate 21.652% (1)...

80

Optimal Preventive Maintenance Scheduling in Semiconductor Manufacturing  

E-Print Network [OSTI]

1 Optimal Preventive Maintenance Scheduling in Semiconductor Manufacturing Xiaodong Yao, Emmanuel on Control Applications in 2001. #12;2 Abstract Preventive Maintenance (PM) scheduling is a very challenging schedule with that of a baseline reference schedule are also presented. Index Terms preventive maintenance

Marcus, Steven I.

Note: This page contains sample records for the topic "rate schedule waives" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Provably Efficient Two-Level Adaptive Scheduling  

E-Print Network [OSTI]

processor reallocation, our schedulers provide control over the scheduling overhead and ensure effectiveProvably Efficient Two-Level Adaptive Scheduling Yuxiong He1 , Wen-Jing Hsu1 , and Charles E. Multiprocessor scheduling in a shared multiprogramming en- vironment can be structured in two levels, where

Feitelson, Dror

82

Wireless Link Scheduling under Physical Interference Model  

E-Print Network [OSTI]

approximation algorithms for link scheduling with or without power control. Index Terms--Link schedulingWireless Link Scheduling under Physical Interference Model Peng-Jun Wan, Ophir Frieder, Xiaohua Jia: jia@cs.cityu.edu.hk, csfyao@cityu.edu.hk Abstract--Link scheduling is a fundamental problem in multi

Jia, Xiaohua

83

On parallel machine scheduling 1  

E-Print Network [OSTI]

On parallel machine scheduling 1 machines with setup times. The setup has to be performed by a single server. The objective is to minimize even for the case of two identical parallel machines. This paper presents a pseudopolynomial

Magdeburg, Universität

84

On-line Service Scheduling?  

E-Print Network [OSTI]

Warwick Business School, University of Warwick, Coventry, CV4 7AL, United ... corresponding service policy in order to use the limited service resource efficiently. ... manner, customer requirements, service efficiency, and system workload, etc. ...... of Scheduling: Algorithms, Models, and Performance Analysis (

2008-04-18T23:59:59.000Z

85

Bringing the User Back into Scheduling: Two Case Studies of Interaction with Intelligent Scheduling Assistants  

E-Print Network [OSTI]

of scheduling, or they demand too much control of an important aspect of the individual's working world. PTIMEBringing the User Back into Scheduling: Two Case Studies of Interaction with Intelligent Scheduling This position paper discusses the scheduling problem as collaboration between human and automated scheduling

Yorke-Smith, Neil

86

Multi-agent Cluster Scheduling for Scalability and Flexibility  

E-Print Network [OSTI]

of clusters scheduling and classical concurrency controlotherwise push control of task scheduling and execution towhich actively controls and modifies scheduling domains as

Konwinski, Andrew David

2012-01-01T23:59:59.000Z

87

Adaptive Scheduling in Ad Hoc and Cellular Wireless Networks  

E-Print Network [OSTI]

2004. 3 Joint Scheduling and Power Control for Multicastingusers. This joint scheduling and power control problem is38 Joint Scheduling and Power Control for Multicasting in

Tan, Choo Chin

2013-01-01T23:59:59.000Z

88

A Hybrid Bin-Packing Heuristic to Multiprocessor Scheduling  

E-Print Network [OSTI]

Abstract. The multiprocessor scheduling problem consists in schedul- ...... parallel machine scheduling", Production Planning and Control 9 (1998), 685{689. 9.

89

Scheduling a Metacomputer With Uncooperative Sub-schedulers ?  

E-Print Network [OSTI]

metacomputing project. A real metacomputer management system will not gain exclusive access to all its resources algorithm has to deal with a set of local sub-schedulers performing individual machine management. Based the algorithms currently used in metacomputer management systems. 1 Introduction Ever since 1992 when the term

Feitelson, Dror

90

Distributed scheduling for efficient HVAC precooling operations  

E-Print Network [OSTI]

of supply and return fans for HVAC systems under di?erentOp- timal Scheduling of HVAC Pre-cooling Operations withScheduling for E?cient HVAC Pre-cooling Operations ? Yang

Yang, Su

2014-01-01T23:59:59.000Z

91

Human aspects of scheduling : a case study  

E-Print Network [OSTI]

This work presents a look at real-life production-floor scheduling, comparing and contrasting it to both normative OR theory and Cognitive Psychology theory. Relevant literature in OR, scheduling and psychology is reviewed, ...

Boasson, Yishai, 1973-

2006-01-01T23:59:59.000Z

92

Re: 'BPA Upcoming Schedule'  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298, andEpidermal Growth Factor.Tariff Rates FYRayRetheRe:

93

Scheduling with Fixed Maintenance, Shared Resources and ...  

E-Print Network [OSTI]

Nov 17, 2014 ... maintenance constraints, blending and shared resources. ...... tegrated fixed time interval preventive maintenance and production for schedul-.

2015-02-07T23:59:59.000Z

94

ADMINISTRATIVE RECORDS SCHEDULE 17: CARTOGRAPHIC, AERIAL PHOTOGRAPHIC...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

7: CARTOGRAPHIC, AERIAL PHOTOGRAPHIC, ARCHITECTURAL, ENGINEERING, AND FACILITY MANAGEMENT RECORDS ADMINISTRATIVE RECORDS SCHEDULE 17: CARTOGRAPHIC, AERIAL PHOTOGRAPHIC,...

95

Proposal Submittal and Scheduling Procedures for Macromolecular...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Proposal Submittal and Scheduling Procedures for Macromolecular Crystallography Beam time for macromolecular crystallography projects is obtained by submitting an SSRL...

96

ADMINISTRATIVE RECORDS SCHEDULE 5: BUDGET PREPARATION, PRESENTATION...  

Broader source: Energy.gov (indexed) [DOE]

5: BUDGET PREPARATION, PRESENTATION, AND APPORTIONMENT RECORDS ADMINISTRATIVE RECORDS SCHEDULE 5: BUDGET PREPARATION, PRESENTATION, AND APPORTIONMENT RECORDS Budget and...

97

ADMINISTRATIVE RECORDS SCHEDULE 5: BUDGET PREPARATION, PRESENTATION...  

Broader source: Energy.gov (indexed) [DOE]

5: BUDGET PREPARATION, PRESENTATION, AND APPORTIONMENT ADMINISTRATIVE RECORDS SCHEDULE 5: BUDGET PREPARATION, PRESENTATION, AND APPORTIONMENT Budget and apportionment records...

98

1 of 2 Scheduling-Guidelines.docx Statler College Scheduling Guidelines  

E-Print Network [OSTI]

College controlled conference rooms ... 1. Conference rooms, under College scheduling control, support1 of 2 Scheduling-Guidelines.docx Statler College Scheduling Guidelines effective August 27, 2013 with the above information o Online at http://eventscheduling.wvu.edu and use MyID login o Send email to statler-scheduling

Mohaghegh, Shahab

99

Move Frame Scheduling and Mixed SchedulingAllocation for the Automated Synthesis of Digital Systems y  

E-Print Network [OSTI]

steps: 1) Data path synthe­ sis (operation scheduling and hardware allocation), and 2) Control path design. In the scheduling phase, operations are assigned to the appropriate control steps. The allocaMove Frame Scheduling and Mixed Scheduling­Allocation for the Automated Synthesis of Digital

Nourani, Mehrdad

100

Optimization of Injection Scheduling in  

E-Print Network [OSTI]

SGP-TR-I12 Optimization of Injection Scheduling in Geothermal Fields James Lovekin May 1987&injection optimization problem is broke$ into two subpmbkm:(1) choosing a configuration of injectorsfrom an existing set is defined as the fieldwide break- through lindex, B. Injection is optimized by choosing injection wells

Stanford University

Note: This page contains sample records for the topic "rate schedule waives" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Batch Scheduling with Deadlines on Parallel Machines  

E-Print Network [OSTI]

Batch Scheduling with Deadlines on Parallel Machines Peter Brucker Mikhail Y. Kovalyov, Yakov M of scheduling G groups of jobs on m parallel machines is considered. Each group consists of several identical) and to schedule the batches on the machines. It is possible for different batches of the same group

Magdeburg, Universität

102

DYNAMIC SCHEDULING M. C. H. Wright  

E-Print Network [OSTI]

for a time interval after which control is returned to the scheduling program to determine the best project who wants more time to evaluate their data can return control to the scheduling program, and come backDYNAMIC SCHEDULING M. C. H. Wright Radio Astronomy Laboratory, University of California, Berkeley

Militzer, Burkhard

103

CPU Inheritance Scheduling Bryan Ford Sai Susarla  

E-Print Network [OSTI]

, providing much greater scheduling flexibil­ ity. Modular, hierarchical control can be provided over systems control the sharing of the machine's CPU resources among threads using a fixed scheduling schemeCPU Inheritance Scheduling Bryan Ford Sai Susarla Department of Computer Science University of Utah

Ford, Bryan

104

CPU Inheritance Scheduling Bryan Ford Sai Susarla  

E-Print Network [OSTI]

, providing much greater scheduling flexibil- ity. Modular, hierarchical control can be provided overCPU Inheritance Scheduling Bryan Ford Sai Susarla Department of Computer Science University of Utah processor scheduling mechanisms in operat- ing systems are fairly rigid, often supportingonly one fixed

Ford, Bryan

105

Models for Train Scheduling Krishna C. Jha  

E-Print Network [OSTI]

Models for Train Scheduling Krishna C. Jha Vice President - Research & Development krishna/analytics, and packaging into web-based map-based interfaces. Innovative Scheduling Overview #12;-3- The train schedule is one of most critical components in the passenger or freight transportations. The quality of a train

Bustamante, Fabián E.

106

Flow shop scheduling with peak power consumption constraints  

E-Print Network [OSTI]

Mar 29, 2012 ... Flow shop scheduling with peak power consumption constraints ... Keywords: scheduling, flow shop, energy, peak power consumption, integer...

K. Fang

2012-03-29T23:59:59.000Z

107

2007 Wholesale Power Rate Case Final Proposal : Wholesale Power Rate Development Study.  

SciTech Connect (OSTI)

The Wholesale Power Rate Development Study (WPRDS) serves two primary purposes. It synthesizes information supplied by the other final studies that comprise the BPA rate proposal and shows the actual calculations for BPA's power rates. In addition, the WPRDS is the primary source for certain information used in establishing the power rates. Information developed in the WPRDS includes rate design (including seasonal and diurnal shapes for energy rates, demand, and load variance rates), the risk mitigation tools (Cost Recovery Adjustment Clause (CRAC), along with the [N]ational Marine Fisheries Service [F]ederal Columbia River Power System [B]iological Opinion (NFB) Adjustment, the Emergency NFB Surcharge, and Dividend Distribution Clause (DDC)), development of the Slice rate, and all discounts and other adjustments that are included in the rate schedules and the General Rate Schedule Provisions. The WPRDS also includes the description of the methodology for the Cost of Service Analysis (COSA), and the various rate design steps necessary to establish BPA's power rates. The WPRDS also shows the calculations for inter-business line revenues and expenses, the revenue forecast and, finally, includes a description of all of the rate schedules. The actual rate schedules are shown in ''Administrator's Final Record of Decision (ROD), Appendix A: 2007 Wholesale Power Rate Schedules and General Rate Schedule Provisions, WP-07-A-02''. The WPRDS also includes the Partial Resolution of Issues, shown in Attachment 1 of the ROD. The Partial Resolution of Issues affected many of the features described in this study. These are noted where appropriate.

United States. Bonneville Power Administration.

2006-07-01T23:59:59.000Z

108

Duke-3-E Wholesale Power Rate Schedule | Department of Energy  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Year in Review: TopEnergy DOEDealingVehicle1 Closing the Circle: TheDraftforDuctless,Ducts3-E

109

Duke-4-E Wholesale Power Rate Schedule | Department of Energy  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Year in Review: TopEnergy DOEDealingVehicle1 Closing the Circle:

110

Duke-1-E Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProvedDecember 2005Department ofDOEDisability EmploymentDrain-Water Heat Recovery1-E

111

Duke-2-E Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProvedDecember 2005Department ofDOEDisability EmploymentDrain-Water Heat Recovery1-E2-E

112

NC-1-B Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGY TAXBalanced Scorecard Federal2 to:Diesel Engines |Servicesfrom theTelecomNC-1-B

113

VA-1-B Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen Owned SmallOf The 2012Nuclear Guide Remote Access08:Energy 94:Service2 1 2

114

VA-2-B Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen Owned SmallOf The 2012Nuclear Guide Remote Access08:Energy 94:Service2 1 22-B

115

VA-3-B Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen Owned SmallOf The 2012Nuclear Guide Remote Access08:Energy 94:Service2 1

116

VA-4-B Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen Owned SmallOf The 2012Nuclear Guide Remote Access08:Energy 94:Service2 14-B

117

VANC-1 Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen Owned SmallOf The 2012Nuclear Guide Remote Access08:Energy 94:Service2

118

ALA-1-N Wholesale Power Rate Schedule | Department of Energy  

Energy Savers [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustionImprovement3 Beryllium-Associated6-05.pdf AL2006-05.pdf AL2006-05.pdf10-01.pdf

119

Pump-1-A Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September 15,2015 | Department ofThatGrid3ofBuildingsEnergy PolicyPueblo1-A

120

Pump-2 Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September 15,2015 | Department ofThatGrid3ofBuildingsEnergy PolicyPueblo1-A2

Note: This page contains sample records for the topic "rate schedule waives" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Regulation-1 Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September 15,2015 |RebeccaRegional Standards EnforcementRegulation-1

122

Replacement-1 Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September 15,2015 |RebeccaRegionalReliabilityRenewable EnergyRenie

123

SOCO-1-E Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September2-SCORECARD-01-24-13 Page 1 of 1 This scorecardEnergy

124

SOCO-2-E Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September2-SCORECARD-01-24-13 Page 1 of 1 This scorecardEnergy2-E

125

SOCO-3-E Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September2-SCORECARD-01-24-13 Page 1 of 1 This scorecardEnergy2-E3-E

126

SOCO-4-E Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September2-SCORECARD-01-24-13 Page 1 of 1 This scorecardEnergy2-E3-E4-E

127

Santee-1-E Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September2-SCORECARD-01-24-13 Page 1 of 1Sandra L. Burrell About

128

Santee-2-E Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September2-SCORECARD-01-24-13 Page 1 of 1Sandra L. Burrell About2-E

129

Santee-3-E Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September2-SCORECARD-01-24-13 Page 1 of 1Sandra L. Burrell About2-E3-E

130

Santee-4-E Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September2-SCORECARD-01-24-13 Page 1 of 1Sandra L. Burrell About2-E3-E4-E

131

AP-1-B Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergy Cooperation |South Valley ResponsibleSubmissionofDepartmentNo.7-052 ofFocus onANDREW

132

AP-2-B Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergy Cooperation |South Valley ResponsibleSubmissionofDepartmentNo.7-052 ofFocus onANDREW2-B

133

AP-3-B Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergy Cooperation |South Valley ResponsibleSubmissionofDepartmentNo.7-052 ofFocus onANDREW2-B3-B

134

AP-4-B Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergy Cooperation |South Valley ResponsibleSubmissionofDepartmentNo.7-052 ofFocus

135

CBR-1-H Wholesale Power Rate Schedule | Department of Energy  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Year in Review: Top FiveDepartment of Energy BuildingsBuried andSoftF.Energy DirectCBR-1-H

136

Figure 3. Production Schedules at Two Development Rates  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003ofDec. 31 705PC's and Computer33.

137

JW-1-J Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGY TAX POLICIES7.pdfFuel2007 | Department7 U.S.DepartmentEnergyREVIEWU N E 2 0JW-1-J

138

JW-2-F Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGY TAX POLICIES7.pdfFuel2007 | Department7 U.S.DepartmentEnergyREVIEWU N E 2

139

CM-1-H Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power Systems EngineeringDepartment of4 Federal6Clean EnergyofF.CEM: YouCLEAN ENERGY JOBS

140

CTV-1-H Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power Systems EngineeringDepartment of4 Federal6Clean EnergyofF.CEM:Systems Are UnderCTV-1-H

Note: This page contains sample records for the topic "rate schedule waives" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

CTVI-1-A Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power Systems EngineeringDepartment of4 Federal6Clean EnergyofF.CEM:Systems Are

142

CC-1-I Wholesale Power Rate Schedule | Department of Energy  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:June 2015 <Ones | Department of Energy VolunteerismCC-1-I

143

CEK-1-H Wholesale Power Rate Schedule | Department of Energy  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:June 2015 <Ones | DepartmentCEE Winter Program MeetingCEK-1-H

144

CK-1-H Wholesale Power Rate Schedule | Department of Energy  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:June 2015 <Ones |Laboratory, June 2011 |StatementCITSSCK-1-H

145

CSI-1-H Wholesale Power Rate Schedule | Department of Energy  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:June 2015 <Ones |Laboratory,CSG, Bainbridge Island,CSI-1-H

146

Replacement-2-A Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGY TAXBalancedDepartment ofColumbusReport #StudyRenewable EnergyPreliminary Findings

147

Replacement-3 Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGY TAXBalancedDepartment ofColumbusReport #StudyRenewable EnergyPreliminary Findings3

148

Rate Schedule CV-T3 (Supersedes Schedules CV- T2) UNITED STATES DEPARTMENT OF ENERGY  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298, andEpidermal Growth Factor. |INCIDENCET3 (Supersedes

149

Machine scheduling using the Bees algorithm.  

E-Print Network [OSTI]

??Single-machine scheduling is the process of assigning a group of jobs to a machine. The jobs are arranged so that a performance measure, such as (more)

Phrueksanant, Janyarat

2013-01-01T23:59:59.000Z

150

Construction project scheduling problem with uncertain resource ...  

E-Print Network [OSTI]

... on-going activities. 7 Conclusions and future work .... constrained construction scheduling, Journal of Computing in Civil Engineering, 13(3),. 207-216. [23] Liu...

2004-06-01T23:59:59.000Z

151

Statler College Scheduling Guidelines General Procedures  

E-Print Network [OSTI]

Statler College Scheduling Guidelines General Procedures Basic event information needed o Event Procedures Basic event information needed o Event name o Contact name, phone, email o expected number

Mohaghegh, Shahab

152

Single machine stochastic appointment sequencing and scheduling  

E-Print Network [OSTI]

include scheduling of surgeries in an operating room (Denton, 2007, Denton and ... time duration of the jobs are random variables with known joint distribution.

Administrator

2010-10-22T23:59:59.000Z

153

The Schedule - DOE Directives, Delegations, and Requirements  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

funds are required. This chapter will briefly discuss some scheduling basics. g4301-1chp12.pdf -- PDF Document, 60 KB Writer: John Makepeace Subjects: Administration Management...

154

ADMINISTRATIVE RECORDS SCHEDULE 4: PROPERTY DISPOSAL RECORDS...  

Broader source: Energy.gov (indexed) [DOE]

4: PROPERTY DISPOSAL RECORDS (Revision 2) ADMINISTRATIVE RECORDS SCHEDULE 4: PROPERTY DISPOSAL RECORDS (Revision 2) These records pertain to the sales by agencies of real and...

155

ADMINISTRATIVE RECORDS SCHEDULE 18: SECURITY, EMERGENCY PLANNING...  

Broader source: Energy.gov (indexed) [DOE]

8: SECURITY, EMERGENCY PLANNING, AND SAFETY RECORDS ADMINISTRATIVE RECORDS SCHEDULE 18: SECURITY, EMERGENCY PLANNING, AND SAFETY RECORDS Protection program records include the...

156

Scheduling Workover Rigs for Onshore Oil Production  

E-Print Network [OSTI]

Scheduling Workover Rigs for Onshore Oil. Production. Dario J. Aloise, Daniel Aloise, Caroline T.M. Rocha. Universidade Federal do Rio Grande do Norte,.

2003-06-23T23:59:59.000Z

157

Scheduling with Fixed Maintenance, Shared Resources and ...  

E-Print Network [OSTI]

Nov 30, 2014 ... Scheduling with Fixed Maintenance, Shared Resources and Nonlinear Feedrate Constraints: a Mine Planning Case Study. Christina N Burt...

Christina N Burt

2014-11-30T23:59:59.000Z

158

Robustness in Combinatorial Optimization and Scheduling Theory ...  

E-Print Network [OSTI]

ten years in the area of combinatorial optimization and scheduling theory .... with robust reformulation of optimization model by adapting robust control...

2006-09-26T23:59:59.000Z

159

An Optimal General Purpose Scheduler for Networked Control Systems  

E-Print Network [OSTI]

An Optimal General Purpose Scheduler for Networked Control Systems Ahmed Elmahdi , Ahmad F Taha to control the time delay is to im- prove the scheduling criterion. This paper proposes an optimal scheduling the stability of the control system. The proposed optimal schedul- ing protocol is a hybrid scheduling criterion

Sun, Dengfeng

160

Schedule  

E-Print Network [OSTI]

Lesson 1 Video Lesson 1 Outline. 6/17. Lesson 2 PowerPoint (Part A) Lesson 2 PowerPoint (Part B) Lesson 2 Video Lesson 2 ... Lesson 3 Video Lesson 3...

Note: This page contains sample records for the topic "rate schedule waives" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Schedule  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administrationcontroller systems controller systemsis aSecurity8NuclearofScatteringNationalPlease

162

Tool for Generating Realistic Residential Hot Water Event Schedules: Preprint  

SciTech Connect (OSTI)

The installed energy savings for advanced residential hot water systems can depend greatly on detailed occupant use patterns. Quantifying these patterns is essential for analyzing measures such as tankless water heaters, solar hot water systems with demand-side heat exchangers, distribution system improvements, and recirculation loops. This paper describes the development of an advanced spreadsheet tool that can generate a series of year-long hot water event schedules consistent with realistic probability distributions of start time, duration and flow rate variability, clustering, fixture assignment, vacation periods, and seasonality. This paper also presents the application of the hot water event schedules in the context of an integral-collector-storage solar water heating system in a moderate climate.

Hendron, B.; Burch, J.; Barker, G.

2010-08-01T23:59:59.000Z

163

Schedule optimization study implementation plan  

SciTech Connect (OSTI)

This Implementation Plan is intended to provide a basis for improvements in the conduct of the Environmental Restoration (ER) Program at Hanford. The Plan is based on the findings of the Schedule Optimization Study (SOS) team which was convened for two weeks in September 1992 at the request of the U.S. Department of Energy (DOE) Richland Operations Office (RL). The need for the study arose out of a schedule dispute regarding the submission of the 1100-EM-1 Operable Unit (OU) Remedial Investigation/Feasibility Study (RI/FS) Work Plan. The SOS team was comprised of independent professionals from other federal agencies and the private sector experienced in environmental restoration within the federal system. The objective of the team was to examine reasons for the lengthy RI/FS process and recommend ways to expedite it. The SOS team issued their Final Report in December 1992. The report found the most serious impediments to cleanup relate to a series of management and policy issues which are within the control of the three parties managing and monitoring Hanford -- the DOE, U.S. Environmental Protection Agency (EPA), and the State of Washington Department of Ecology (Ecology). The SOS Report identified the following eight cross-cutting issues as the root of major impediments to the Hanford Site cleanup. Each of these eight issues is quoted from the SOS Report followed by a brief, general description of the proposed approach being developed.

Not Available

1993-11-01T23:59:59.000Z

164

Environmental surveillance master sampling schedule  

SciTech Connect (OSTI)

This document contains the planned 1994 schedules for routine collection of samples for the Surface Environmental Surveillance Project (SESP), Drinking Water Project, and Ground-Water Surveillance Project. Samples are routinely collected for the SESP and analyzed to determine the quality of air, surface water, soil, sediment, wildlife, vegetation, foodstuffs, and farm products at Hanford Site and surrounding communities. The responsibility for monitoring the onsite drinking water falls outside the scope of the SESP. The Hanford Environmental Health Foundation is responsible for monitoring the nonradiological parameters as defined in the National Drinking Water Standards while PNL conducts the radiological monitoring of the onsite drinking water. PNL conducts the drinking water monitoring project concurrent with the SESP to promote efficiency and consistency, utilize the expertise developed over the years, and reduce costs associated with management, procedure development, data management, quality control and reporting. The ground-water sampling schedule identifies ground-water sampling events used by PNL for environmental surveillance of the Hanford Site.

Bisping, L.E.

1994-02-01T23:59:59.000Z

165

Time and event triggered communication scheduling for automotive applications  

E-Print Network [OSTI]

Time and event triggered communication scheduling for automotive applications ROGER JOHANSSON and event triggered communication scheduling for automotive applications 1 ROGER JOHANSSON Department triggered communication scheduling for automotive applications ROGER JOHANSSON © ROGER JOHANSSON, 2004

Johansson, Roger

166

Energy Efficiency Exchange 2015 Schedule | Department of Energy  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Schedule Energy Efficiency Exchange 2015 Schedule The schedule for Energy Efficiency Exchange 2015 is available below. Monday, August 10, 2015 12 p.m.-5:30 p.m. Registration...

167

Scheduling on the MasPar SIMD parallel computer  

E-Print Network [OSTI]

This thesis studies the feasibility of a task scheduler for a parallel operating system. After analyzing several task scheduling algorithms, the highest level first algorithm was chosen. This algorithm has been empirically found to build schedules...

Perkins, Keith Douglas

1995-01-01T23:59:59.000Z

168

Distributed and Networked Dynamic Resource Allocation, Scheduling, and Control Experiments  

E-Print Network [OSTI]

Distributed and Networked Dynamic Resource Allocation, Scheduling, and Control Experiments Nicanor into decentralized and networked dynamic resource allocation, scheduling, and control. 2 Questions 1. What, "Experiments for decentralized and networked dynamic resource allocation, scheduling, and control," Submitted

169

Enhancing feedback process scheduling via a predictive control approach  

E-Print Network [OSTI]

Enhancing feedback process scheduling via a predictive control approach Alessandro Vittorio the application possibilities at an affordable additional cost. Keywords: feedback scheduling; control that preemptive process schedulers in multitasking operating systems can be viewed, and above all designed

Como, Giacomo

170

PROJECT SCHEDULING: IMPROVED APPROACH TO INCORPORATE  

E-Print Network [OSTI]

] project scheduling inevitably involves uncertainty. The basic inputs (i.e., time, cost, and resourcesPROJECT SCHEDULING: IMPROVED APPROACH TO INCORPORATE UNCERTAINTY USINC BAYESIAN NETWORKS VAHID, there is a causal relationship between these uncertainty sources and project parameters; this causality

Neil, Martin

171

Online Deadline Scheduling with Bounded Energy Efficiency  

E-Print Network [OSTI]

Online Deadline Scheduling with Bounded Energy Efficiency Joseph Wun-Tat Chan1 , Tak-Wah Lam 2 concern when compared to throughput and the schedules targeted may be very poor in energy efficiency subject to a user-defined threshold of energy efficiency. We first show that all deterministic online

Wong, Prudence W.H.

172

Electrical Engineering Technology (EET) LONG RANGE SCHEDULE  

E-Print Network [OSTI]

and Machinery C T C T EET 365W Electrical Power & Machinery Laboratory C C, V V C C, V V EET 370T Energy=Virtual Laboratory, W=Web based This schedule is tentative. All Course offerings are subject to minimum enrollmentElectrical Engineering Technology (EET) LONG RANGE SCHEDULE Course Number and Name Fall 2010 Spr

173

Parallel machine match-up scheduling with manufacturing cost considerations  

E-Print Network [OSTI]

approach for the single machine scheduling problem. Journaldecisions on parallel CNC machines: -constraint approach.mechanism for the CNC machine scheduling problems with

Aktrk, M. Selim; Atamtrk, Alper; Grel, Sinan

2010-01-01T23:59:59.000Z

174

ADMINISTRATIVE RECORDS SCHEDULE 3: PROCUREMENT, SUPPLY, AND GRANT...  

Energy Savers [EERE]

RECORDS SCHEDULE 3: PROCUREMENT, SUPPLY, AND GRANT RECORDS ADMINISTRATIVE RECORDS SCHEDULE 3: PROCUREMENT, SUPPLY, AND GRANT RECORDS The basic procurement files reflect a...

175

ADMINISTRATIVE RECORDS SCHEDULE 3: PROCUREMENT, SUPPLY, AND GRANT...  

Office of Environmental Management (EM)

ADMINISTRATIVE RECORDS SCHEDULE 3: PROCUREMENT, SUPPLY, AND GRANT RECORDS ADMINISTRATIVE RECORDS SCHEDULE 3: PROCUREMENT, SUPPLY, AND GRANT RECORDS The basic procurement files...

176

POLICY GUIDANCE MEMORANDUM #02 Using Schedule A Hiring Authority...  

Energy Savers [EERE]

2 Using Schedule A Hiring Authority for ARRA Positions (Expired) POLICY GUIDANCE MEMORANDUM 02 Using Schedule A Hiring Authority for ARRA Positions (Expired) THIS GUIDANCE HAS...

177

ADMINISTRATIVE RECORDS SCHEDULE 23: RECORDS COMMON TO MOST OFFICES...  

Broader source: Energy.gov (indexed) [DOE]

3: RECORDS COMMON TO MOST OFFICES (Revision 2) ADMINISTRATIVE RECORDS SCHEDULE 23: RECORDS COMMON TO MOST OFFICES (Revision 2) This schedule provides for the disposal of certain...

178

Approximate resolution of a resource-constrained scheduling problem  

E-Print Network [OSTI]

hard resource-constrained scheduling problem which arises in relation to .... schedules in which the temperature is allowed to increase. 5 ...... Systems & Control.

179

Sec. Moniz to Georgia, Energy Department Scheduled to Close on...  

Energy Savers [EERE]

to Georgia, Energy Department Scheduled to Close on Loan Guarantees to Construct New Nuclear Power Plant Reactors Sec. Moniz to Georgia, Energy Department Scheduled to Close...

180

A Mathematical approach applied to train scheduling in Brazilian ...  

E-Print Network [OSTI]

Abstract In this paper, a mathematical approach was used to schedule trains in ... Nowadays, due this criticality, the main decision about the train schedule over.

2014-07-15T23:59:59.000Z

Note: This page contains sample records for the topic "rate schedule waives" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

Environmental surveillance master sampling schedule  

SciTech Connect (OSTI)

Environmental surveillance of the Hanford Site and surrounding areas is conducted by the Pacific Northwest Laboratory (PNL) for the US Department of Energy (DOE). This document contains the planned schedule for routine sample collection for the Surface Environmental Surveillance Project (SESP) and Ground-Water Monitoring Project. Samples for radiological analyses include Air-Particulate Filter, gases and vapor; Water/Columbia River, Onsite Pond, Spring, Irrigation, and Drinking; Foodstuffs/Animal Products including Whole Milk, Poultry and Eggs, and Beef; Foodstuffs/Produce including Leafy Vegetables, Vegetables, and Fruit; Foodstuffs/Farm Products including Wine, Wheat and Alfalfa; Wildlife; Soil; Vegetation; and Sediment. Direct Radiation Measurements include Terrestrial Locations, Columbia River Shoreline Locations, and Onsite Roadway, Railway and Aerial, Radiation Surveys.

Bisping, L E

1992-01-01T23:59:59.000Z

182

NRC comprehensive records disposition schedule. Revision 3  

SciTech Connect (OSTI)

Title 44 US Code, ``Public Printing and Documents,`` regulations issued by the General Service Administration (GSA) in 41 CFR Chapter 101, Subchapter B, ``Management and Use of Information and Records,`` and regulations issued by the National Archives and Records Administration (NARA) in 36 CFR Chapter 12, Subchapter B, ``Records Management,`` require each agency to prepare and issue a comprehensive records disposition schedule that contains the NARA approved records disposition schedules for records unique to the agency and contains the NARA`s General Records Schedules for records common to several or all agencies. The approved records disposition schedules specify the appropriate duration of retention and the final disposition for records created or maintained by the NRC. NUREG-0910, Rev. 3, contains ``NRC`s Comprehensive Records Disposition Schedule,`` and the original authorized approved citation numbers issued by NARA. Rev. 3 incorporates NARA approved changes and additions to the NRC schedules that have been implemented since the last revision dated March, 1992, reflects recent organizational changes implemented at the NRC, and includes the latest version of NARA`s General Records Schedule (dated August 1995).

NONE

1998-02-01T23:59:59.000Z

183

October 2001 - September 2006 Wholesale Power Rates (rates/previous)  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 - September 2006 The 2002 Wholesale Power Rate Schedules (base rates) for the FY

184

October 2002 - March 2003 Power Rates (rates/previous)  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 - September 2006 The 2002 Wholesale Power Rate Schedules (base rates) for the FY6 A2

185

October 2003 - March 2004 Power Rates (rates/previous)  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 - September 2006 The 2002 Wholesale Power Rate Schedules (base rates) for the FY6

186

October 2004 - March 2005 Power Rates (rates/previous)  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 - September 2006 The 2002 Wholesale Power Rate Schedules (base rates) for the FY64 -

187

October 2005 - March 2006 Power Rates (rates/previous)  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 - September 2006 The 2002 Wholesale Power Rate Schedules (base rates) for the FY64

188

Knowledge-Based Design of Scheduling Systems Jrgen Sauer  

E-Print Network [OSTI]

have to decide and control within the scheduling process. In different application areas scheduling1 Knowledge-Based Design of Scheduling Systems Jürgen Sauer Universität Oldenburg, FB Informatik Escherweg 2 D-26121 Oldenburg, Germany sauer@informatik.uni-oldenburg.de Abstract A Scheduling system shall

Appelrath, Hans-Jürgen

189

Survey of Gain-Scheduling Analysis & Design WE.Leithead  

E-Print Network [OSTI]

ranging from aerospace to process control. Despite the wide application of gain-scheduling controllers of gain-scheduling controllers and a diverse academic literature relating to gain- scheduling extendingSurvey of Gain-Scheduling Analysis & Design D.J.Leith WE.Leithead Department of Electronic

Duffy, Ken

190

Provably Efficient Adaptive Scheduling for Parallel Jobs  

E-Print Network [OSTI]

Scheduling competing jobs on multiprocessors has always been an important issue for parallel and distributed systems. The challenge is to ensure global, system-wide efficiency while offering a level of fairness to user ...

He, Yuxiong

191

Monitoring Building Systems for Schedule Compliance  

SciTech Connect (OSTI)

As Pacific Northwest National Laboratory (PNNL) initiated a Core Business Hours program, it became a challenge to ensure that the hundreds of systems campus wide were operating within their programmed schedules. Therefore, a collaborative exchange between PNNL operations and PNNL researchers developing the Decision Support for Operations and Maintenance (DSOM) software package was initiated to create a tool to solve this problem. This new DSOM tool verifies systems are operating within scheduled operation times by polling Building Automation and Control Network (BACnet) identifiers of systems on/off or command statuses. The tool records the time spent in operation state (ON) and totalizes each system over a rolling 7-day period, highlighting systems that are running over the scheduled hours. This snapshot view allows building management to look quickly at the entire campus to ensure that systems are not operating beyond their scheduled hours.

Jensen, Andrew M.; Belew, Shan T.

2013-02-19T23:59:59.000Z

192

Production Scheduling with Energy Efficiency Constraints  

E-Print Network [OSTI]

This research is motivated by a real world production scheduling problem in a continuous manufacturing system involving multiple objectives, multiple products and multiple processing lines with various inventory, production and energy efficiency...

Lee, J.; Kozman, T. A.; Wang, X.

2007-01-01T23:59:59.000Z

193

PARS II Training Schedule | Department of Energy  

Office of Environmental Management (EM)

will certify that user to receive a PARS II user account. PARSIITrainingSchedule03-06-2014.pdf More Documents & Publications Slide 1 Slide 1 PARS II Course Registration Form...

194

Underground Injection Control Fee Schedule (West Virginia)  

Broader source: Energy.gov [DOE]

This rule establishes schedules of permit fees for state under?ground injection control permits issued by the Chief of the Office of Water Resources. This rule applies to any person who is...

195

Online optimization in routing and scheduling  

E-Print Network [OSTI]

In this thesis we study online optimization problems in routing and scheduling. An online problem is one where the problem instance is revealed incrementally. Decisions can (and sometimes must) be made before all information ...

Wagner, Michael R. (Michael Robert), 1978-

2006-01-01T23:59:59.000Z

196

Scheduling and synchronization for multicore concurrency platforms  

E-Print Network [OSTI]

Developing correct and efficient parallel programs is difficult since programmers often have to manage low-level details like scheduling and synchronization explicitly. Recently, however, many hardware vendors have been ...

Agrawal, Kunal

2009-01-01T23:59:59.000Z

197

WEBVIEWER INSTRUCTION PACKET Facilities Planning and Scheduling  

E-Print Network [OSTI]

-mail: scheduling@mail.wvu.edu Website: http://facilitiesscheduling.wvu.edu http://webviewer.wvu.edu #12;2 WebViewer: Detailed Instructions Table of Contents Purpose of WebViewer.................................................................................................................................3 Tour of Web

Mohaghegh, Shahab

198

Hanford Site Environmental Surveillance Master Sampling Schedule  

SciTech Connect (OSTI)

This document contains the CY2000 schedules for the routine collection of samples for the Surface Environmental Surveillance Project (SESP) and Drinking Water Monitoring Project. Each section includes sampling locations, sample types, and analyses to be performed.

Bisping, Lynn E.

2000-01-27T23:59:59.000Z

199

Transportation resource scheduling in food retail industry  

E-Print Network [OSTI]

The objective of this thesis is to find an appropriate analytical method for scheduling the daily driver tasks in the grocery industry. The goal is to maximize driver utilization. A "Bin-packing" approach is employed to ...

Akkas, Arzum, 1978-

2004-01-01T23:59:59.000Z

200

Advanced Reactors Transition Program Resource Loaded Schedule  

SciTech Connect (OSTI)

The Advanced Reactors Transition (ART) Resource Loaded Schedule (RLS) provides a cost and schedule baseline for managing the project elements within the ART Program. The Fast Flux Test Facility (FFTF) activities are delineated through the end of FY 2000, assuming continued standby. The Nuclear Energy (NE) Legacies and Plutonium Recycle Test Reactor (PRTR) activities are delineated through the end of the deactivation process. This document reflects the 1 Oct 1999 baseline.

BOWEN, W.W.

1999-11-08T23:59:59.000Z

Note: This page contains sample records for the topic "rate schedule waives" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Real Options for Project Schedules (ROPS)  

E-Print Network [OSTI]

Real Options for Project Schedules (ROPS) has three recursive sampling/optimization shells. An outer Adaptive Simulated Annealing (ASA) optimization shell optimizes parameters of strategic Plans containing multiple Projects containing ordered Tasks. A middle shell samples probability distributions of durations of Tasks. An inner shell samples probability distributions of costs of Tasks. PATHTREE is used to develop options on schedules.. Algorithms used for Trading in Risk Dimensions (TRD) are applied to develop a relative risk analysis among projects.

Ingber, Lester

2007-01-01T23:59:59.000Z

202

Power-control based scheduling for commercial transatlantic flights Husam Fahmi, Seowoo Jang and Saewoong Bahk  

E-Print Network [OSTI]

the flight times/pattern of transatlantic flight to provide an efficient transmission schedule for all nodes. The scheme also dynamically changes transmission power according to traffic rate and node density expects high quality connectivity in any place and at any time. Cell towers utilizing 4G/3G technology

Bahk, Saewoong

203

An Algorithm for Proportional-Fair Downlink Scheduling in the Presence of Energy Harvesting  

E-Print Network [OSTI]

An Algorithm for Proportional-Fair Downlink Scheduling in the Presence of Energy Harvesting Neyre, as well as power and rate to multiple receivers on an energy harvest- ing downlink. Energy arrival times of BCD. Keywords: Broadcast channel, energy harvesting, offline algorithms, proportional fairness, time

Uysal-Biyikoglu, Elif

204

Reducing Pausing at Rich-to-Lean Schedule Transitions: Effects of Variable-Ratio Schedules and Noncontingent Timeouts  

E-Print Network [OSTI]

-schedule component), which may maintain responding in the lean component when there is insufficient reinforcement. 4 General Introduction The Basic Problem: Pausing on FR Schedules Fixed-ratio (FR) schedules require that a certain number of responses occur.... In the context of a FR schedule, pausing may be considered counterproductive (or maladaptive) because it postpones the receipt of a reinforcer for a food-deprived organism. A host of variables affect pausing on FR schedules; for example, pausing increases as a...

Brewer, Adam Thornton

2012-08-31T23:59:59.000Z

205

FILM AND VIDEO COLLECTION SCHEDULING REQUEST Date: Send To: Video Scheduling  

E-Print Network [OSTI]

FILM AND VIDEO COLLECTION SCHEDULING REQUEST Date: Requestor: Send To: Video Scheduling Film and Video Collection Department University of Delaware Library (302) 831-8419 FAX (302) 831-6197 Media within seven days, please check out media at the Film and Video Collection Department Service Desk

Cakoni, Fioralba

206

Adaptive Scheduling Algorithms for Planet Searches  

E-Print Network [OSTI]

High-precision radial velocity planet searches have surveyed over ~2000 nearby stars and detected over ~200 planets. While these same stars likely harbor many additional planets, they will become increasingly challenging to detect, as they tend to have relatively small masses and/or relatively long orbital periods. Therefore, observers are increasing the precision of their observations, continuing to monitor stars over decade timescales, and also preparing to survey thousands more stars. Given the considerable amounts of telescope time required for such observing programs, it is important use the available resources as efficiently as possible. Previous studies have found that a wide range of predetermined scheduling algorithms result in planet searches with similar sensitivities. We have developed adaptive scheduling algorithms which have a solid basis in Bayesian inference and information theory and also are computationally feasible for modern planet searches. We have performed Monte Carlo simulations of plausible planet searches to test the power of adaptive scheduling algorithms. Our simulations demonstrate that planet searches performed with adaptive scheduling algorithms can simultaneously detect more planets, detect less massive planets, and measure orbital parameters more accurately than comparable surveys using a non-adaptive scheduling algorithm. We expect that these techniques will be particularly valuable for the N2K radial velocity planet search for short-period planets as well as future astrometric planet searches with the Space Interferometry Mission which aim to detect terrestrial mass planets.

Eric B. Ford

2007-12-17T23:59:59.000Z

207

Energy Consumption Scheduling in Smart Grid: A Non-Cooperative Game Approach  

E-Print Network [OSTI]

on Game- Theoretic Energy Consumption Scheduling for theIn this paper, energy consumption scheduling based on non-Energy Consumption Scheduling in Smart Grid: A Non-

Ma, Kai; Hu, Guoqiang; Spanos, Costas J

2014-01-01T23:59:59.000Z

208

Energy Consumption Scheduling in Smart Grid:A Non-Cooperative Game Approach  

E-Print Network [OSTI]

on Game- Theoretic Energy Consumption Scheduling for theIn this paper, energy consumption scheduling based on non-Energy Consumption Scheduling in Smart Grid: A Non-

Kai, Ma; Guoqiang, Hu; Spanos, Costas

2013-01-01T23:59:59.000Z

209

Energy Consumption Scheduling in Smart Grid: A Non-Cooperative Game Approach  

E-Print Network [OSTI]

on Game- Theoretic Energy Consumption Scheduling for theIn this paper, energy consumption scheduling based on non-Energy Consumption Scheduling in Smart Grid: A Non-

Kai, Ma; Guoqiang, Hu; Spanos, Costas

2013-01-01T23:59:59.000Z

210

Space-Time Power Scheduling of MIMO LinksFairness and QoS Considerations  

E-Print Network [OSTI]

design of link scheduling and power control. This would be aPower control, beamforming and link scheduling are alllink scheduling (temporal freedom) with MIMO power control (

Rong, Yue; Hua, Yingbo

2008-01-01T23:59:59.000Z

211

Scheduling and allocation algorithm for an elliptic filter  

E-Print Network [OSTI]

A new evolutionary algorithm for scheduling and allocation algorithm is developed for an elliptic filter. The elliptic filter is scheduled and allocated in the proposed work which is then compared with the different scheduling algorithms like As Soon As Possible algorithm, As Late As Possible algorithm, Mobility Based Shift algorithm, FDLS, FDS and MOGS. In this paper execution time and resource utilization is calculated using different scheduling algorithm for an Elliptic Filter and reported that proposed Scheduling and Allocation increases the speed of operation by reducing the control step. The proposed work to analyse the magnitude, phase and noise responses for different scheduling algorithm in an elliptic filter.

Marikkannan, Sangeetha

2012-01-01T23:59:59.000Z

212

Energy Rating  

E-Print Network [OSTI]

Consistent, accurate, and uniform ratings based on a single statewide rating scale Reasonable estimates of potential utility bill savings and reliable recommendations on cost-effective measures to improve energy efficiency Training and certification procedures for home raters and quality assurance procedures to promote accurate ratings and to protect consumers Labeling procedures that will meet the needs of home buyers, homeowners, renters, the real estate industry, and mortgage lenders with an interest in home energy ratings

Cabec Conference; Rashid Mir P. E

2009-01-01T23:59:59.000Z

213

The Long Term Schedule has been  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest RegionatSearchScheduled System BurstLong Term Schedule has been temporarily

214

Sacramento Ordinance to Waive Solar PV Fees  

Broader source: Energy.gov [DOE]

This is an ordinance by the city of Sacramento to suspend for the calendar years 2007-2009 all fees related to installation of photovoltaic systems on existing residences.

215

Static scheduling of synchronous data flow programs for digital signal processing  

SciTech Connect (OSTI)

Large grain data flow (LGDF) programming is natural and convenient for describing digital signal processing (DSP) systems, but its runtime overhead is costly in real time or cost-sensitive applications. In some situations, designers are not willing to squander computing resources for the sake of programmer convenience. This is particularly true when the target machine is a programmable DSP chip. However, the runtime overhead inherent in most LGDF implementations is not required for most signal processing systems because such systems are mostly synchronous (in the DSP sense). Synchronous data flow (SDF) differs from traditional data flow in that the amount of data produced and consumed by a data flow node is specified a priori for each input and output. This is equivalent to specifying the relative sample rates in signal processing system. This means that the scheduling of SDF nodes need not be done at runtime, but can be done at compile time (statically), so the runtime overhead evaporates. The sample rates can all be different, which is not true of most current data-driven digital signal processing programming methodologies. Synchronous data flow is closely related to computation graphs, a special case of Petri nets. This self-contained paper develops the theory necessary to statically schedule SDF programs on single or multiple processors. A class of static (compile time) scheduling algorithms is proven valid, and specific algorithms are given for scheduling SDF systems onto single or multiple processors.

Lee, E.A.; Messerschmitt, D.G.

1987-01-01T23:59:59.000Z

216

Optimization models for improving periodic maintenance schedules by utilizing opportunities  

E-Print Network [OSTI]

to this as preventive maintenance activities at an oppor- tunity. The original opportunistic replacement problemOptimization models for improving periodic maintenance schedules by utilizing opportunities Torgny of Technology Abstract We present mathematical models for finding optimal opportunistic maintenance schedules

Patriksson, Michael

217

University at Buffalo (SUNY) Department of Industrial Engineering Scheduling Theory  

E-Print Network [OSTI]

University at Buffalo (SUNY) Department of Industrial Engineering IE 661 Scheduling Theory Chapter 1 Rakesh Nagi Department of Industrial Engineering University at Buffalo (SUNY) #12;University at Buffalo (SUNY) Department of Industrial Engineering Chapter 1: Introduction Role of Scheduling Allocation

Nagi, Rakesh

218

Department of Engineering Science REQUEST TO SCHEDULE DESIGN PROJECT PRESENTATION  

E-Print Network [OSTI]

Department of Engineering Science REQUEST TO SCHEDULE DESIGN PROJECT PRESENTATION Notes: 1. Before a student's design project presentation can be scheduled, the student must certify that the following steps. ----------------------------------------------------------------------------------------------------------- Student's name:_________________________________________________________ Design Project title

Ravikumar, B.

219

Incremental temporal reasoning in job shop scheduling repair  

E-Print Network [OSTI]

A working predictive schedule can be useless because of the various external or internal disruptions in a job shop. Total rescheduling may cause problems such as shop floor nervousness. Thus, the job shop scheduling repair ...

Huang, Y.

220

Evaluating the robustness of crew schedules for rail transit systems  

E-Print Network [OSTI]

Crew scheduling has traditionally been the last step in the process of service planning, and it has traditionally aimed at minimizing manpower costs because it was assumed that the crew schedule does not directly impact ...

Ravichandran, Harshavardhan

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "rate schedule waives" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Instruction scheduling optimizations for energy efficient VLIW processors  

E-Print Network [OSTI]

Very Long Instruction Word (VLIW) processors are wide-issue statically scheduled processors. Instruction scheduling for these processors is performed by the compiler and is therefore a critical factor for its operation. ...

Porpodas, Vasileios

2013-11-28T23:59:59.000Z

222

Gain Scheduled Control Using the Dual Youla Parameterization  

E-Print Network [OSTI]

Stability is a critical issue in gain-scheduled control problems in that the closed loop system may not be stable during the transitions between operating conditions despite guarantees that the gain-scheduled controller stabilizes the plant model...

Chang, Young Joon

2011-08-08T23:59:59.000Z

223

Airline fleet assignment and schedule design : integrated models and algorithms  

E-Print Network [OSTI]

In scheduled passenger air transportation, airline profitability is critically influenced by the airline's ability to construct flight schedules containing flights at desirable times in profitable markets. In this dissertation, ...

Lohatepanont, Manoj, 1974-

2002-01-01T23:59:59.000Z

224

Order Acceptance and Scheduling Problem in Two-machine Flow ...  

E-Print Network [OSTI]

Jul 29, 2014 ... Order Acceptance and Scheduling Problem in Two-machine Flow Shops: New Mixed Integer Programming Formulations.

Rasul Esmaeilbeigi

2014-07-29T23:59:59.000Z

225

Optimization of Logic Programs with Dynamic Scheduling  

E-Print Network [OSTI]

of program transformations designed to reduce this additional over­ head, while preserving the operational using high­level program transformation was already illustrated in [?]. However, optimizationOptimization of Logic Programs with Dynamic Scheduling Germ'an Puebla Facultad de Inform

Stuckey, Peter J.

226

Measurement Scheduling for Soil Moisture Sensing  

E-Print Network [OSTI]

energy consumption is presented; the paper is grounded in the physics of soil moisture. By David I Shuman off some inaccuracy in estimating soil moisture evolution for a significant reduction in energyINVITED P A P E R Measurement Scheduling for Soil Moisture Sensing: From Physical Models to Optimal

Mahajan, Aditya

227

ROBUSTNESS MEASURE FOR FUZZY MAINTENANCE ACTIVITIES SCHEDULE  

E-Print Network [OSTI]

activities: the preventive maintenance, whose activities can be long term planned, and the correctiveROBUSTNESS MEASURE FOR FUZZY MAINTENANCE ACTIVITIES SCHEDULE François MARMIER , Christophe VARNIER. Especially in the field of maintenance services where the different practical knowledge or skills

Paris-Sud XI, Université de

228

Dynamic Scheduling of Maintenance Activities Under Uncertainties  

E-Print Network [OSTI]

of the required treatment. There are mainly two types of maintenance activities: the preventive maintenance, whoseDynamic Scheduling of Maintenance Activities Under Uncertainties Fran¸cois Marmier, Christophe in maintenance services field where the different practical knowledges or skills are their working tools. We

Paris-Sud XI, Université de

229

SEMINAR SCHEDULE Friday, January 24, 2014  

E-Print Network [OSTI]

SEMINAR SCHEDULE Friday, January 24, 2014 Health Care Policy & Implementation in an Age of Reform, 2014 Accountable Care Organizations Friday, May 2, 2014 The Role of Health Informatics in Reforming system operates Consider how future health care reform in Vermont and the U.S. might affect your

Hayden, Nancy J.

230

High Noon Lecture Series 2012 Fall Schedule  

E-Print Network [OSTI]

signed the Affordable Care Act into law. Some health insurance reforms have already taken place at how important arenas of constitutional law, from health care reform to abortion to affirmative actionHigh Noon Lecture Series 2012 Fall Schedule September 19 "Deciphering the Affordable Care Act" Glen

231

PND TAD SchedulerSemantic Translation  

E-Print Network [OSTI]

#12;PND TAD SchedulerSemantic Translation Synthesis Algorithm Property Figure 1. The framework. 2 music video audio applet music text applet music text video audio picture picture music Figure 7. TAD card specification trans- lated into a TAD. ready and smiley photo done start xmast xmasm and dummy1

Sifakis, Joseph

232

Energy Conscious Scheduling Johnatan E. Pecero  

E-Print Network [OSTI]

Energy Conscious Scheduling Johnatan E. Pecero University of Luxembourg January 18, 2012 Green Days of Luxembourg Friday, January 20, 2012 #12;Johnatan E. Pecero Green Approaches · Hardware approach ­ Energy, microsoft) 9 Friday, January 20, 2012 #12;Johnatan E. Pecero Green Approaches · Hardware approach ­ Energy

Lefèvre, Laurent

233

Advance Resource Provisioning in Bulk Data Scheduling  

SciTech Connect (OSTI)

Today?s scientific and business applications generate mas- sive data sets that need to be transferred to remote sites for sharing, processing, and long term storage. Because of increasing data volumes and enhancement in current net- work technology that provide on-demand high-speed data access between collaborating institutions, data handling and scheduling problems have reached a new scale. In this paper, we present a new data scheduling model with ad- vance resource provisioning, in which data movement operations are defined with earliest start and latest comple- tion times. We analyze time-dependent resource assign- ment problem, and propose a new methodology to improve the current systems by allowing researchers and higher-level meta-schedulers to use data-placement as-a-service, so they can plan ahead and submit transfer requests in advance. In general, scheduling with time and resource conflicts is NP-hard. We introduce an efficient algorithm to organize multiple requests on the fly, while satisfying users? time and resource constraints. We successfully tested our algorithm in a simple benchmark simulator that we have developed, and demonstrated its performance with initial test results.

Balman, Mehmet

2012-10-01T23:59:59.000Z

234

Modeling Resources for Activity Coordination and Scheduling  

E-Print Network [OSTI]

Modeling Resources for Activity Coordination and Scheduling Rodion M. Podorozhny , Barbara Staudt describes experience in applying a resource man- agement system to problems in two areas of agent and activity coordi- nation. In the paper we argue that precise speci cation of resources is important

Massachusetts at Amherst, University of

235

Modeling Resources for Activity Coordination and Scheduling  

E-Print Network [OSTI]

Modeling Resources for Activity Coordination and Scheduling Rodion M. Podorozhny , Barbara Staudt describes experience in applying a resource man agement system to problems in two areas of agent and activity coordi nation. In the paper we argue that precise specification of resources is important

Massachusetts at Amherst, University of

236

Optimal investment and scheduling of distributed energy resources with uncertainty in electric vehicles driving schedules  

SciTech Connect (OSTI)

The large scale penetration of electric vehicles (EVs) will introduce technical challenges to the distribution grid, but also carries the potential for vehicle-to-grid services. Namely, if available in large enough numbers, EVs can be used as a distributed energy resource (DER) and their presence can influence optimal DER investment and scheduling decisions in microgrids. In this work, a novel EV fleet aggregator model is introduced in a stochastic formulation of DER-CAM [1], an optimization tool used to address DER investment and scheduling problems. This is used to assess the impact of EV interconnections on optimal DER solutions considering uncertainty in EV driving schedules. Optimization results indicate that EVs can have a significant impact on DER investments, particularly if considering short payback periods. Furthermore, results suggest that uncertainty in driving schedules carries little significance to total energy costs, which is corroborated by results obtained using the stochastic formulation of the problem.

Center for Energy and Innovative Technologies; NEC Laboratories America Inc.; Cardoso, Goncalo; Stadler, Michael; Bozchalui, Mohammed C.; Sharma, Ratnesh; Marnay, Chris; Barbosa-Povoa, Ana; Ferrao, Paulo

2013-10-27T23:59:59.000Z

237

A New I/O Scheduler for Solid State Devices  

E-Print Network [OSTI]

parameters of solid state drives. Using the information from the parameter extraction, we present a new I/O scheduler design which utilizes the structure of solid state devices to efficiently schedule writes. The new scheduler, implemented on a 2.6 Linux...

Dunn, Marcus P.

2010-10-12T23:59:59.000Z

238

ON THE CONFIGURATION-LP FOR SCHEDULING ON UNRELATED MACHINES  

E-Print Network [OSTI]

ON THE CONFIGURATION-LP FOR SCHEDULING ON UNRELATED MACHINES JOS? VERSCHAE AND ANDREAS WIESE Abstract. One of the most important open problems in machine scheduling is the problem of scheduling a set of jobs on unrelated machines to minimize the makespan. The best known approximation algorithm

Nabben, Reinhard

239

Simultaneous Cyclic Scheduling and Control of a Multiproduct CSTR Reactor  

E-Print Network [OSTI]

Simultaneous Cyclic Scheduling and Control of a Multiproduct CSTR Reactor Antonio Flores;Abstract In this work we propose a scheduling and control formulation for simultaneously addressing scheduling and control problems by explicitly incorporating process dy- namics in the form of system

Grossmann, Ignacio E.

240

Opportunistic Scheduling for utility maximization under QoS constraints  

E-Print Network [OSTI]

1 Opportunistic Scheduling for utility maximization under QoS constraints Neung-Hyung Lee, Jin. Our opportunistic scheduling aims at maximizing the utility which is usually expressed as a function of user throughput. In this paper we derive an off-line optimal scheduling policy by optimization theory

Bahk, Saewoong

Note: This page contains sample records for the topic "rate schedule waives" from the National Library of EnergyBeta (NLEBeta).
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to obtain the most current and comprehensive results.


241

Scope for industrial applications of production scheduling models and  

E-Print Network [OSTI]

Computers and Chemical Engineering 62 (2014) 161­ 193 © ABB Group March 18, 2014 | Slide 2 #12 learned and success stories on real industrial scheduling implementations General guidelines and examples and scheduling © ABB Group March 18, 2014 | Slide 5 #12;Where is scheduling "located" Traditional system

Grossmann, Ignacio E.

242

Utility Accrual Real-Time Scheduling for Multiprocessor Embedded Systems  

E-Print Network [OSTI]

Utility Accrual Real-Time Scheduling for Multiprocessor Embedded Systems Hyeonjoong Cho a Binoy We present the first Utility Accrual (or UA) real-time scheduling algorithm for mul- tiprocessors, called global Multiprocessor Utility Accrual scheduling algorithm (or gMUA). The algorithm considers

Ravindran, Binoy

243

Energy-aware scheduling under reliability and makespan constraints  

E-Print Network [OSTI]

Energy-aware scheduling under reliability and makespan constraints Guillaume Aupy, Anne Benoit and complementary. I. INTRODUCTION Energy-aware scheduling has proven an important issue in the past decade, both this interval at speed f. Energy-aware scheduling aims at minimizing the energy consumed during the execution

Paris-Sud XI, Universit de

244

Energy-aware scheduling: models and complexity results  

E-Print Network [OSTI]

Energy-aware scheduling: models and complexity results Guillaume Aupy (1st year PhD student) LIP several energy-aware scheduling algorithms whose design is optimized for different speed models. Dynamic plans. I. INTRODUCTION Energy-aware scheduling has proven an important issue in the past decade, both

Paris-Sud XI, Universit de

245

PREEMPTIVE RESUME SCHEDULING Alain Roy and Miron Livny  

E-Print Network [OSTI]

Chapter 9 CONDOR AND PREEMPTIVE RESUME SCHEDULING Alain Roy and Miron Livny Department of Computer. This introduces a number of problems, some of which are solved by Condor's preemptive resume scheduling, which is the focus of this paper. Pre- emptive resume scheduling allows jobs to be interrupted while running

Roy, Alain

246

Design and Evaluation of a Feedback Control EDF Scheduling Algorithm *  

E-Print Network [OSTI]

Design and Evaluation of a Feedback Control EDF Scheduling Algorithm * * Supported in part by NSF. In this paper, we present a feedback control real­time scheduling algorithm and its evaluation. Performance}@cs.virginia.edu, + gt9s@virginia.edu Abstract Despite the significant body of results in real­time scheduling, many real

Son, Sang H.

247

Symbolic Scheduling Techniques 1 Ivan Radivojevi c, Forrest Brewer  

E-Print Network [OSTI]

- constrained scheduling which allows speculative operation execution in arbitrary forward-branching control subject to data/control-flow dependencies and resource constraints. Priority- based heuristic scheduling on detection of mutual exclusiveness in control/data-flow graphs (CDFGs). Tree scheduling (TS) [8] uses a tree

Brewer, Forrest D.

248

Stochastic Sensor Scheduling for Networked Control Systems Farhad Farokhi  

E-Print Network [OSTI]

Stochastic Sensor Scheduling for Networked Control Systems Farhad Farokhi and Karl H. Johansson Abstract Optimal sensor scheduling with applications to networked estimation and control systems to optimal control of Markov chains, we extract an optimal scheduling policy to fairly allocate the network

Johansson, Karl Henrik

249

Queueing-Theoretic Approaches for Dynamic Scheduling: Daria Terekhova  

E-Print Network [OSTI]

, 1999) Scheduling and control of flexible manufacturing sys- tems: a critical review (Basnet and MizeQueueing-Theoretic Approaches for Dynamic Scheduling: A Survey Daria Terekhova , Douglas G. DownbMaster University, Canada downd@mcmaster.ca Within the combinatorial scheduling community, there has been

Down, Doug

250

Constraint-based Scheduling Markus P.J. Fromherz  

E-Print Network [OSTI]

such as product assembly se- quencing. This makes constraint-based scheduling interesting to the control community planning, scheduling, and control tasks. This tutorial gives a brief introduction to constraint and reconfigurable con- trol, and the integration of various planning, scheduling, and control tasks

Fromherz, Markus P.J.

251

The Control of Burstiness in Fair Queueing Scheduling Liat Ashkenazi  

E-Print Network [OSTI]

The Control of Burstiness in Fair Queueing Scheduling Liat Ashkenazi and Hanoch Levy School to other scheduling algorithms. Those algorithms, in contrast, are subject to the burstiness problem. This paper studies the issue of bursty transmission in packet scheduling algo- rithms. We propose the Burst

Levy, Hanoch

252

Design of Gain-Scheduled Strictly Positive Real Controllers  

E-Print Network [OSTI]

Design of Gain-Scheduled Strictly Positive Real Controllers Using Numerical Optimization the linear SPR controllers, which compose the gain-scheduled controller. Second, we formulate the optimization problem associ- ated with the gain-scheduled controller itself. Restricting our in- vestigation

Damaren, Christopher J.

253

Energy Efficient Scheduling with Power Control for Wireless Networks  

E-Print Network [OSTI]

Energy Efficient Scheduling with Power Control for Wireless Networks Bastian Katz Institute the complexity of scheduling with power control in the SINRG model of interference. Based on a novel scheme) and less energy consumption: power control admits schedules that would otherwise violate interference

Paris-Sud XI, Université de

254

Feedback Control RealTime Scheduling: Framework, Modeling, and Algorithms *  

E-Print Network [OSTI]

1 Feedback Control Real­Time Scheduling: Framework, Modeling, and Algorithms * Chenyang Lu John A}@virginia.edu Abstract This paper presents a feedback control real­time scheduling (FCS) framework for adaptive real. In particular, we establish a dynamic model and performance analysis of several feedback control scheduling

Son, Sang H.

255

Computing Schedules for Time-Triggered Control using Genetic Algorithms  

E-Print Network [OSTI]

Computing Schedules for Time-Triggered Control using Genetic Algorithms Truong Nghiem Georgios E scheduling problem for timed-triggered controllers (OSTTC) and the time complexity of the corresponding search. Keywords: Scheduling; Digital control; Genetic algorithms; 1. INTRODUCTION Digital control theory

Fainekos, Georgios E.

256

A Cooperative Approach for Job Shop Scheduling under Uncertainties  

E-Print Network [OSTI]

control, consists to use a two-level resolution scheme: an off-line scheduling level builds upA Cooperative Approach for Job Shop Scheduling under Uncertainties C. BRIANDa,1 , S. OURARIb and B on job shop scheduling problems in a cooperative environment. Unlike classical deterministic approaches

Briand, Cyril

257

A QUALITY CONTROL FRAMEWORK FOR BUS SCHEDULE RELIABILITY  

E-Print Network [OSTI]

A QUALITY CONTROL FRAMEWORK FOR BUS SCHEDULE RELIABILITY JIE LIN*, University of Illinois Institute A QUALITY CONTROL FRAMEWORK FOR BUS SCHEDULE RELIABILITY Abstract This paper develops and demonstrates a quality control framework for bus schedule reliability. Automatic Vehicle Location (AVL) devices

Illinois at Chicago, University of

258

Feedback Control Real-Time Scheduling: Framework, Modeling, and Algorithms*  

E-Print Network [OSTI]

1 Feedback Control Real-Time Scheduling: Framework, Modeling, and Algorithms* Chenyang Lu John A}@virginia.edu Abstract This paper presents a feedback control real-time scheduling (FCS) framework for adaptive real. In particular, we establish a dynamic model and performance analysis of several feedback control scheduling

Son, Sang H.

259

Process for Scheduling Electives The Student Affairs/MSP Office collects core clerkship scheduling requests from rising M-3 and  

E-Print Network [OSTI]

rotations for this time and have no control over other schools' scheduling processes. wwwUICOM - UC Process for Scheduling Electives The Student Affairs/MSP Office collects core clerkship scheduling requests from rising M-3 and M-4 students. Individual clinical departments arrange other

Gilbert, Matthew

260

Abstract--A simple method is presented to reduce the number of scheduling parameters for gain-scheduled  

E-Print Network [OSTI]

to a zero- parameter or LTI controller design problem in the dimensionless domain. The dimensionless gain-scheduling. Index Terms--Gain scheduling, gantry control, pi theorem, dimensionless parameters, nondimensional representation I. INTRODUCTION AIN scheduling is a popular method to control systems whose linearized model

Brennan, Sean

Note: This page contains sample records for the topic "rate schedule waives" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Integrated test schedule for buried waste integrated demonstration  

SciTech Connect (OSTI)

The Integrated Test Schedule incorporates the various schedules the Buried Waste Integrated Demonstration (BWID) supports into one document. This document contains the Federal Facilities Agreement and Consent Order schedules for the Idaho National Engineering Laboratory, Hanford Reservation, Oak Ridge Reservation, and Fernald Environmental Materials Center. Included in the Integrated Test Schedule is the Buried Waste Integrated Demonstration ``windows of opportunity`` schedule. The ``windows of opportunity`` schedule shows periods of time in which Buried Waste Integrated Demonstration Program-sponsored technology demonstrations could support key decisions in the Federal Facilities Agreement and Consent Order. Schedules for the Buried Waste Integrated Demonstration-sponsored technology task plans are categorized by technology area and divided by current fiscal year and out-year. Total estimated costs for Buried Waste Integrated Demonstration-sponsored Technology Task Plans for FY-92 through FY-97 are $74.756M.

Brown, J.T.; McDonald, J.K.

1992-05-01T23:59:59.000Z

262

Integrated test schedule for buried waste integrated demonstration  

SciTech Connect (OSTI)

The Integrated Test Schedule incorporates the various schedules the Buried Waste Integrated Demonstration (BWID) supports into one document. This document contains the Federal Facilities Agreement and Consent Order schedules for the Idaho National Engineering Laboratory, Hanford Reservation, Oak Ridge Reservation, and Fernald Environmental Materials Center. Included in the Integrated Test Schedule is the Buried Waste Integrated Demonstration windows of opportunity'' schedule. The windows of opportunity'' schedule shows periods of time in which Buried Waste Integrated Demonstration Program-sponsored technology demonstrations could support key decisions in the Federal Facilities Agreement and Consent Order. Schedules for the Buried Waste Integrated Demonstration-sponsored technology task plans are categorized by technology area and divided by current fiscal year and out-year. Total estimated costs for Buried Waste Integrated Demonstration-sponsored Technology Task Plans for FY-92 through FY-97 are $74.756M.

Brown, J.T.; McDonald, J.K.

1992-05-01T23:59:59.000Z

263

Short term generation scheduling in photovoltaic-utility grid with battery storage  

SciTech Connect (OSTI)

This paper presents an efficient approach to short term resource scheduling for an integrated thermal and photovoltaic-battery generation. The proposed model incorporated battery storage for peak load shaving. Several constraints including battery capacity, minimum up/down time and ramp rates for thermal units, as well as natural photovoltaic (PV) capacity are considered in the proposed model. A case study composed of 26 thermal units and a PV-battery plant is presented to test the efficiency of the method.

Marwali, M.K.C.; Ma, H.; Shahidehpour, S.M. [Illinois Inst. of Tech., Chicago, IL (United States). Dept. of Electrical and Computer Engineering] [Illinois Inst. of Tech., Chicago, IL (United States). Dept. of Electrical and Computer Engineering; Abdul-Rahman, K.H. [Siemens Energy and Automation, Brooklyn Park, MN (United States)] [Siemens Energy and Automation, Brooklyn Park, MN (United States)

1998-08-01T23:59:59.000Z

264

Robust optimization of dose schedules in radiotherapy  

E-Print Network [OSTI]

A major difficulty of choosing an optimal radiation schedule is the uncertainty of model parameters due to geometric and patient specific uncertainties. This paper proposes a method for determining the optimal fractionation schedule in the Linear Quadratic (LQ) model with multiple normal tissue toxicity constraints in the presence of uncertainties in model parameters. To this end, we assumed uncertainty in the LQ model can take two forms: (i) estimation errors for parameters of constant but unknown value, and (ii) stochasticity of random variables. For the unknown parameters, we formulated our problem as a conservative model whose solution is immune to the parameter drifts. When the underlying distributions of uncertain parameters are known, we developed a model which required the decision maker to specify a probability that determined the feasibility of normal tissues constraints and risk factor in the objective function. We proved that our problem can be solved efficiently through a decision variable transf...

Badri, Hamidreza; Leder, Kevin

2015-01-01T23:59:59.000Z

265

Adaptable search neighborhoods for Resource Constrained Scheduling  

E-Print Network [OSTI]

dispatching rule. When evaluating the merit of the schedule associated with (L, p), the original data set, ps, is usecl. Three msiu advantages result from the use of these new search spaces. First, problem specific knowledge is incorporated into the search...) dispatching if the perfcrmance is based on completion times (makespsn. or f. . 'ow-tirres), or use earliest-due-date (EDD) dispatching if the performance is due-dste based (tardiness). In order to illustrate the implementation of these concepts, examples...

Balakrishnan, Ramamoorthy

1993-01-01T23:59:59.000Z

266

Hanford Site Environmental Surveillance Master Sampling Schedule  

SciTech Connect (OSTI)

Environmental surveillance of the Hanford Site and surrounding areas is conducted by Pacific Northwest National Laboratory (PNNL) for the U.S. Department of Energy (DOE). Sampling is conducted to evaluate levels of radioactive and nonradioactive pollutants in the Hanford environs. The document contains the CY 2002 schedules for the routine collection of samples for the Surface Environmental Surveillance Project (SESP) and Drinking Water Monitoring Project.

Bisping, Lynn E.

2002-01-16T23:59:59.000Z

267

Hanford Site Environmental Surveillance Master Sampling Schedule  

SciTech Connect (OSTI)

Environmental surveillance of the Hanford Site and surrounding areas is conducted by the Pacific Northwest National Laboratory (PNNL) for the U.S. Department of Energy (DOE). Sampling is conducted to evaluate levels of radioactive and nonradioactive pollutants in the Hanford environs, as required in DOE Order 5400.1, General Environmental Protection Program: and DOE Order 5400.5, Radiation Protection of the Public and the Environment. The sampling design is described in the Operations Office, Environmental Monitoring Plan, United States Department of Energy, Richland DOE/RL-91-50, Rev.2, U.S. Department of Energy, Richland, Washington. This document contains the CY 2000 schedules for the routine collection of samples for the Surface Environmental Surveillance Project (SESP) and Drinking Water Monitoring Project. Each section includes sampling locations, sample types, and analyses to be performed. In some cases, samples are scheduled on a rotating basis and may not be collected in 2000 in which case the anticipated year for collection is provided. In addition, a map showing approximate sampling locations is included for each media scheduled for collection.

LE Bisping

2000-01-27T23:59:59.000Z

268

Scheduling in an Energy Cost Aware Environment The energy cost aware scheduling problem (ECASP) is concerned with variable electricity tariffs, where the price of  

E-Print Network [OSTI]

Scheduling in an Energy Cost Aware Environment The energy cost aware scheduling problem (ECASP) is concerned with variable electricity tariffs, where the price of electricity changes over time depending because a schedule without considering variable energy charges might significantly increase

269

Single-Machine Two-Agent Scheduling Problems with ...  

E-Print Network [OSTI]

Jan 24, 2014 ... Abstract: We address a class of deterministic scheduling problems in which two agents compete for the usage of a single machine. The agents...

Gaia Nicosia

2014-01-24T23:59:59.000Z

270

A hybrid Lagrangean metaheuristic for single machine scheduling ...  

E-Print Network [OSTI]

Aug 8, 2014 ... A hybrid Lagrangean metaheuristic for single machine scheduling problem with sequence-dependent setup times and due dates.

Thiago Henrique Nogueira

2014-08-08T23:59:59.000Z

271

Security Improvements Project Completed Ahead of Schedule, $20...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Field Offices Welcome to the NNSA Production Office NPO News Releases Security Improvements Project Completed Ahead of Schedule, ... Security Improvements Project Completed...

272

Flow Shop Scheduling with Peak Power Consumption Constraints  

E-Print Network [OSTI]

To conduct our experiments, we considered a hypothetical flow shop scheduling ... There are two types of machines with different operations: face milling. 16...

2012-09-23T23:59:59.000Z

273

Robust optimization based self scheduling of hydro-thermal Genco ...  

E-Print Network [OSTI]

Dec 29, 2013 ... Abstract: This paper proposes a robust optimization model for optimal self scheduling of a hydro-thermal generating company. The proposed...

Alireza Soroudi

2013-12-29T23:59:59.000Z

274

Optimization Online - Optimal Job Scheduling with Day-ahead Price ...  

E-Print Network [OSTI]

Aug 17, 2011 ... Optimal Job Scheduling with Day-ahead Price and Random Local Distributed Generation: A Two-stage Robust Approach.

Anna Danandeh

2011-08-17T23:59:59.000Z

275

Optimization Online - Stochastic Real-Time Scheduling of Wind ...  

E-Print Network [OSTI]

Jan 3, 2015 ... Stochastic Real-Time Scheduling of Wind-thermal Generation Units in an Electric Utility. Alireza Soroudi (alireza.soroudi ***at*** ucd.ie)

Alireza Soroudi

2015-01-03T23:59:59.000Z

276

Water pollution Control Permit Fee Schedules (West Virginia)  

Broader source: Energy.gov [DOE]

This rule establishes schedules of permit application fees and annual permit fees for state water pollution control permits and national pollutant discharge elimination system permits issued by the...

277

Y-12 Finishes Initial HEUMF Loading Ahead of Schedule | National...  

National Nuclear Security Administration (NNSA)

Home Field Offices Welcome to the NNSA Production Office NPO News Releases Y-12 Finishes Initial HEUMF Loading Ahead of Schedule Y-12 Finishes Initial HEUMF Loading...

278

Proposal Submittal and Scheduling Procedures for Research | Stanford...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Proposal Submittal and Scheduling Procedures for Research New Proposals Standard GU Proposals Instructions for New Standard Proposals (Not LOI or Rapid Access) Tips for How to Wow...

279

POLICY GUIDANCE MEMORANDUM #32A Schedule A Appointments of Persons...  

Energy Savers [EERE]

A Appointments of Persons with Disabilities and Appointments for Disabled Veterans POLICY GUIDANCE MEMORANDUM 32A Schedule A Appointments of Persons with Disabilities and...

280

On a resource-constrained scheduling problem with application to ...  

E-Print Network [OSTI]

This paper is devoted to the study of a resource-constrained scheduling ..... account and that an assessment of the impact of such constraints on distributed.

Note: This page contains sample records for the topic "rate schedule waives" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

ADMINISTRATIVE RECORDS SCHEDULE 2: PAYROLL AND PAY ADMINISTRATION...  

Broader source: Energy.gov (indexed) [DOE]

: PAYROLL AND PAY ADMINISTRATION RECORDS ADMINISTRATIVE RECORDS SCHEDULE 2: PAYROLL AND PAY ADMINISTRATION RECORDS Payrolling and pay administration records pertain to the...

282

ADMINISTRATIVE RECORDS SCHEDULE 2: PAYROLL AND PAY ADMINISTRATION...  

Broader source: Energy.gov (indexed) [DOE]

2: PAYROLL AND PAY ADMINISTRATION RECORDS-Revision 2 ADMINISTRATIVE RECORDS SCHEDULE 2: PAYROLL AND PAY ADMINISTRATION RECORDS-Revision 2 Payrolling and pay administration records...

283

Simulation Optimization for the Stochastic Economic Lot Scheduling ...  

E-Print Network [OSTI]

constant functions as well as control policies that can be described by a small set ... We address the problem of scheduling production of multiple products on a...

2012-01-12T23:59:59.000Z

284

Fast Approximations for Online Scheduling of Outpatient Procedure ...  

E-Print Network [OSTI]

Jun 18, 2014 ... Tuza (1999) on online algorithms for machine scheduling with extendable work time. Based on a fixed ...... control and stochastic programming.

2014-06-18T23:59:59.000Z

285

Scheduling co-operating stacking cranes with predetermined ...  

E-Print Network [OSTI]

Nov 7, 2011 ... Crane scheduling in container terminals is known as a difficult optimization problem .... an overview focussing on design and control issues.

2011-11-19T23:59:59.000Z

286

Oversight Scheduling and Operational Awareness at the Savannah...  

Office of Environmental Management (EM)

Office of Safety and Emergency Management Evaluations Activity Report on Oversight Scheduling and Operational Awareness at the Savannah River Site Dates of Activity : 0325...

287

FLEX TIME (ALTERNATIVE WORK SCHEDULE) REQUEST EMPLOYEE INFORMATION  

E-Print Network [OSTI]

(Hours) Proposed Alternative Work Schedule (Hours) Days On-Site Off-Site On-Site Off-Site Monday Tuesday

Dasgupta, Dipankar

288

Pantex Plant Achieves Key Safety Milestone Ahead of Schedule...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Achieves Key Safety Milestone Ahead of Schedule | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing...

289

High School Schedule | The Ames Laboratory  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-SeriesFlickr FlickrGuidedCH2M HILLAdministration |BasicResolution,Schedule

290

Energy Exchange Schedule | Department of Energy  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Year in Review: TopEnergyIDIQBusinessin Jamaica, N.Y.EnergyDepartment ofSchedule Energy

291

Work Schedules | National Nuclear Security Administration  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered energy consumption byAbout PrintableBlenderWhatFellowsWood and4213Work Schedules |

292

MGH RADIATION ONCOLOGY REDUCED RATE MULTI-VISIT  

E-Print Network [OSTI]

MGH RADIATION ONCOLOGY REDUCED RATE MULTI-VISIT PARKING PROGRAM MGH Radiation Oncology Parking Programs enable patients undergoing radiation therapy to either self-park as close to the hospital patients currently in a treatment program; radiation therapy patients must have a minimum of two scheduled

Mootha, Vamsi K.

293

EIS-0031: Bonneville Power Administration 1979 Wholesale Rate Increase  

Broader source: Energy.gov [DOE]

The Bonneville Power Administration (BPA) developed this statement to explain the reasons for BPA's proposed power rate schedule, to conduct an analysis of the impacts which the proposal or alternatives thereto could have on both physical and socioeconomic characteristics of the human environment and to identify methods for mitigating the effects of the proposal.

294

Hanford Site Environmental Surveillance Master Sampling Schedule  

SciTech Connect (OSTI)

Environmental surveillance of the Hanford Site and surrounding areas is conducted by the Pacific Northwest National Laboratory (PNNL) for the U.S. Department of Energy (DOE). Sampling is conducted to evaluate levels of radioactive and nonradioactive pollutants in the Hanford environs, as required in DOE Order 5400.1, ''General Environmental protection Program,'' and DOE Order 5400.5, ''Radiation Protection of the Public and the Environment.'' The sampling methods are described in the Environmental Monitoring Plan, United States Department of Energy, Richland Operations Office, DOE/RL-91-50, Rev.2, U.S. Department of Energy, Richland, Washington. This document contains the CY1999 schedules for the routine collection of samples for the Surface Environmental Surveillance Project (SESP) and Drinking Water Monitoring Project. Each section includes the sampling location, sample type, and analyses to be performed on the sample. In some cases, samples are scheduled on a rotating basis and may not be collected in 1999 in which case the anticipated year for collection is provided. In addition, a map is included for each media showing approximate sampling locations.

LE Bisping

1999-02-12T23:59:59.000Z

295

Module 4Module 4 CPU SchedulingCPU Scheduling Reading: Chapter 5Reading: Chapter 5Reading: Chapter 5Reading: Chapter 5  

E-Print Network [OSTI]

to execute, and then give the control to it If we want efficient resource utilization, we need CPU scheduling preemptive scheduling? DispatcherDispatcher Dispatcher module gives control of the CPU to the process1 Module 4Module 4 ­­ CPU SchedulingCPU Scheduling Reading: Chapter 5Reading: Chapter 5Reading

Stojmenovic, Ivan

296

Optimization of Preventive Maintenance Scheduling in Semiconductor Manufacturing Models Using a Simulation-Based Approximate  

E-Print Network [OSTI]

Optimization of Preventive Maintenance Scheduling in Semiconductor Manufacturing Models Using Dynamic Programming (ADP) approach for the optimization of Preventive Maintenance (PM) scheduling schedules. I. INTRODUCTION In semiconductor manufacturing systems, or fabs, pre- ventive maintenance (PM

Fernandez, Emmanuel

297

2012-05-30 GAO-12-120G GAO schedule assessment guide - best practices...  

Energy Savers [EERE]

2-05-30 GAO-12-120G GAO schedule assessment guide - best practices for project schedules vexposure draft 2012-05-30 GAO-12-120G GAO schedule assessment guide - best practices for...

298

Achieving Queue-Length Stability Through Maximal Scheduling in Wireless Networks  

E-Print Network [OSTI]

stability region; however, these scheduling strategies also require centralized control. Although [5], [6Achieving Queue-Length Stability Through Maximal Scheduling in Wireless Networks Prasanna Chaporkar through distributed scheduling in wireless networks. We consider a simple, local information based

Sarkar, Saswati

299

Power Control and Transmission Scheduling for Network Utility Maximization in Wireless Networks  

E-Print Network [OSTI]

Power Control and Transmission Scheduling for Network Utility Maximization in Wireless Networks Min power control and transmis- sion scheduling problem in wireless networks with average power constraints. Index Terms--Network utility maximization, power control, transmission scheduling, column generation I

Sharma, Vinod

300

On Dynamic Scheduling of a Parallel Server System with Partial Pooling  

E-Print Network [OSTI]

proposed and refined by Harrison et al., we approximate the scheduling control problem for this parallel Scheduling of Parallel Servers. Keywords and phrases: Stochastic networks, dynamic control, resource pooling.3 Scheduling Control . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 3 Sequence

Note: This page contains sample records for the topic "rate schedule waives" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

On program restructuring, scheduling, and communication for parallel processor systems  

SciTech Connect (OSTI)

This dissertation discusses several software and hardware aspects of program execution on large-scale, high-performance parallel processor systems. The issues covered are program restructuring, partitioning, scheduling and interprocessor communication, synchronization, and hardware design issues of specialized units. All this work was performed focusing on a single goal: to maximize program speedup, or equivalently, to minimize parallel execution time. Parafrase, a Fortran restructuring compiler was used to transform programs in a parallel form and conduct experiments. Two new program restructuring techniques are presented, loop coalescing and subscript blocking. Compile-time and run-time scheduling schemes are covered extensively. Depending on the program construct, these algorithms generate optimal or near-optimal schedules. For the case of arbitrarily nested hybrid loops, two optimal scheduling algorithms for dynamic and static scheduling are presented. Simulation results are given for a new dynamic scheduling algorithm. The performance of this algorithm is compared to that of self-scheduling. Techniques for program partitioning and minimization of interprocessor communication for idealized program models and for real Fortran programs are also discussed. The close relationship between scheduling, interprocessor communication, and synchronization becomes apparent at several points in this work. Finally, the impact of various types of overhead on program speedup and experimental results are presented. 69 refs., 74 figs., 14 tabs.

Polychronopoulos, Constantine D.

1986-08-01T23:59:59.000Z

302

TOWARDS REAL-TIME GENERATION SCHEDULING IN MICROGRIDS WITH  

E-Print Network [OSTI]

TOWARDS REAL-TIME GENERATION SCHEDULING IN MICROGRIDS WITH PERFORMANCE GUARANTEE LIAN LU, JINLONG TU, CHI-KIN CHAU, MINGHUA CHEN, ZHAO XU AND XIAOJUN LIN INTRODUCTION Microgrid is an emerging- generation improves generation efficiency by 2-3x. A key problem in microgrid operations is how to schedule

Zhang, Junshan

303

Optimal Maintenance Scheduling of a Gas Engine Power Plant  

E-Print Network [OSTI]

to carry out preventive maintenance at regular intervals19 . The maintenance schedule affects many short1 Optimal Maintenance Scheduling of a Gas Engine Power Plant using Generalized Disjunctive with parallel units. Gas engines are shutdown according to a regular maintenance plan that limits the number

Grossmann, Ignacio E.

304

Incentivizing Advanced Load Scheduling in Smart Homes , and David Irwin  

E-Print Network [OSTI]

Incentivizing Advanced Load Scheduling in Smart Homes Ye Xu , and David Irwin , and Prashant Shenoy Department of Electrical and Computer Engineering School of Computer Science University of Massachusetts Amherst ABSTRACT In recent years, researchers have proposed numerous advanced load scheduling algorithms

Massachusetts at Amherst, University of

305

Global Optimization for Scheduling Refinery Crude Oil Operations Ramkumar Karuppiaha  

E-Print Network [OSTI]

Global Optimization for Scheduling Refinery Crude Oil Operations Ramkumar Karuppiaha , Kevin C at the front-end of a petroleum refinery. The model relies on a continuous time representation making use-412-268-7139. Email address: grossmann@cmu.edu (I.E. Grossmann) #12;2 Keywords: Refinery scheduling; Nonconvex MINLP

Grossmann, Ignacio E.

306

FU, CHAO-YING Compiler-Driven Value Speculation Scheduling.  

E-Print Network [OSTI]

ABSTRACT FU, CHAO-YING Compiler-Driven Value Speculation Scheduling. (Under the direction of Prof inputs. #12;COMPILER-DRIVEN VALUE SPECULATION SCHEDULING by CHAO-YING FU A dissertation submitted of Advisory Committee Prof. Paul D. Franzon Prof. Wentai Liu Prof. Eric Rotenberg #12;ii Biography Chao-ying

Conte, Thomas M.

307

Single Machine Scheduling with a Non-renewable Financial Resource  

E-Print Network [OSTI]

Single Machine Scheduling with a Non-renewable Financial Resource Evgeny R. Gafarov a , Alexander A with a non-renewable resource. For example, money or fuel provide natural examples of such a non-renewable resource. Such problems with a non-renewable resource are also referred to as financial scheduling problems

Magdeburg, Universität

308

Physics & Astronomy Open House Schedule UH Manoa Watanabe Hall  

E-Print Network [OSTI]

Physics & Astronomy Open House Schedule UH Manoa Watanabe Hall 22 November 2014 0830 - 1245 *** Physics & Astronomy info. available at www.phys.hawaii.edu *** Welcome & Overview: Prof. Pui Lam in Physical Science 217 at 0830 ** schedules for groups 1 to 10 below for 0900-1100 ** **solar observing

309

Competitive Non-migratory Scheduling for Flow Time and Energy  

E-Print Network [OSTI]

@liv.ac.uk ABSTRACT Energy usage has been an important concern in recent re- search on online scheduling technology to reduce energy usage is dynamic speed scaling (see, e.g., [9, 15, 24, 28]) where the processorCompetitive Non-migratory Scheduling for Flow Time and Energy Tak-Wah Lam Department of Computer

Wong, Prudence W.H.

310

Competitive Nonmigratory Scheduling for Flow Time and Energy  

E-Print Network [OSTI]

@liv.ac.uk ABSTRACT Energy usage has been an important concern in recent re search on online scheduling technology to reduce energy usage is dynamic speed scaling (see, e.g., [9, 15, 24, 28]) where the processorCompetitive Nonmigratory Scheduling for Flow Time and Energy TakWah Lam Department of Computer

Lam, Tak-Wah

311

A Meeting Scheduling System Based on Open Constraint Programming  

E-Print Network [OSTI]

- ences can be programmed using the OCP reactors language. CLP is suitable to be used in meetingA Meeting Scheduling System Based on Open Constraint Programming Kenny Qili Zhu and Andrew E a meeting scheduling system based on open constraint programming (OCP) paradigm. OCP is an extension

Zhu, Kenny Q.

312

Queue Prediction: an efficient scheduler for fast ATM cell transmission  

E-Print Network [OSTI]

Queue Prediction: an efficient scheduler for fast ATM cell transmission Peter Fenwick Department, if not impossible within the time constraints of fast ATM transmission (622 Mbps or higher). This paper presents a solution to this problem. By scheduling in advance the transmissions from queues it allows all output

Fenwick, Peter

313

Resource Minimized Static Mapping and Dynamic Scheduling of SDF Graphs  

E-Print Network [OSTI]

Resource Minimized Static Mapping and Dynamic Scheduling of SDF Graphs Jinwoo Kim, Tae-ho Shin than the previous approaches. Keywords-Mapping, buffer size minimization, SDF graph, dynamic scheduling a model-based approach based on SDF (synchronous data flow) model. Since the parallelism of an application

Ha, Soonhoi

314

GreenSlot: Scheduling Energy Consumption in Green Datacenters  

E-Print Network [OSTI]

GreenSlot: Scheduling Energy Consumption in Green Datacenters Íñigo Goiri UPC/BSC and Rutgers Univ grid (as a backup). GreenSlot predicts the amount of solar energy that will be available in the near future, and schedules the workload to maximize the green energy consumption while meet- ing the jobs

315

Renewable Energy Scheduling for Fading Channels with Maximum Power Constraint  

E-Print Network [OSTI]

Renewable Energy Scheduling for Fading Channels with Maximum Power Constraint Zhe Wang Electrical--In this paper, we develop efficient algorithm to obtain the optimal energy schedule for fading channel with energy harvesting. We assume that the side information of both the channel states and energy harvesting

Greenberg, Albert

316

: A Testbed for Empirically Comparing Real-Time Multiprocessor Schedulers  

E-Print Network [OSTI]

on M processors any pe- riodic task system with total utilization at most M [2], and the global-deadline-first (EDF) scheduling, pre- emptive and nonpreemptive global EDF scheduling, and two variants of the global-real-time constraints. To our knowledge, this paper is the first attempt by anyone to compare partitioned and global

Anderson, James

317

Polynomial Time Algorithms for Minimum Energy Scheduling Philippe Baptiste1  

E-Print Network [OSTI]

algorithm for computing the minimum energy schedule when all jobs have unit length. 1 Introduction PowerPolynomial Time Algorithms for Minimum Energy Scheduling Philippe Baptiste1 , Marek Chrobak2 policies is to reduce the amount of energy consumed by computer systems while maintaining satisfactory

Chrobak, Marek

318

Optimizing Throughput and Energy in Online Deadline Scheduling  

E-Print Network [OSTI]

of all jobs. An optimal schedule is expected to maximize the throughput, and furthermore, its energy a scheduling algorithm, one has to face the dilemma of selecting more jobs and being conservative in energy jobs; O(1)-competitive online algorithms with respect to energy usage have been known [Yao et al. 1995

Wong, Prudence W.H.

319

Balancing Authority Cooperation Concepts - Intra-Hour Scheduling  

SciTech Connect (OSTI)

The overall objective of this study was to understand, on an Interconnection-wide basis, the effects intra-hour scheduling compared to hourly scheduling. Moreover, the study sought to understand how the benefits of intra-hour scheduling would change by altering the input assumptions in different scenarios. This report describes results of three separate scenarios with differing key assumptions and comparing the production costs between hourly scheduling and 10-minute scheduling performance. The different scenarios were chosen to provide insight into how the estimated benefits might change by altering input assumptions. Several key assumptions were different in the three scenarios, however most assumptions were similar and/or unchanged among the scenarios.

Hunsaker, Matthew; Samaan, Nader; Milligan, Michael; Guo, Tao; Liu, Guangjuan; Toolson, Jacob

2013-03-29T23:59:59.000Z

320

E-Print Network 3.0 - aware packet scheduling Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

packets. Through simulation we show the improved performance of our scheduling algorithm... Flow N Scheduler Queues CPU Handler Packets Leaving Active Node Packets Entering...

Note: This page contains sample records for the topic "rate schedule waives" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

E-Print Network 3.0 - appointments and schedules Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

students are required to schedule routine appoint-ments with their respective academic advisor. Summary: All EOFPEPCARR students are required to schedule routine appoint- ments...

322

PARS II End-of-Month Checklist and Processing Schedule | Department...  

Energy Savers [EERE]

and Processing Schedule PARS II End-of-Month Checklist and Processing Schedule Slide 1 More Documents & Publications Slide 1 PMCDPNewsletterOctober2010SHR.pdf October...

323

E-Print Network 3.0 - action scheduling tool Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Lab Collection: Computer Technologies and Information Sciences 62 DesigntoCriteria Scheduling: RealTime Agent Control ? Summary: or the Design-to-Criteria scheduler. The...

324

Towards a Centralized Scheduling Framework for Communication Flows in Distributed Systems  

E-Print Network [OSTI]

The overall performance of a distributed system is highly dependent on the communication efficiency of the system. Although network resources (links, bandwidth) are becoming increasingly more available, the communication performance of data transfers involving large volumes of data does not necessarily improve at the same rate. This is due to the inefficient usage of the available network resources. A solution to this problem consists of data transfer scheduling techniques, which manage and allocate the network resources in an efficient manner. In this paper we present several online and offline data transfer optimization techniques, in the context of a centrally controlled distributed system.

Andreica, Mugurel Ionut; Tapus, Nicolae; Pop, Florin; Dobre, Ciprian Mihai

2009-01-01T23:59:59.000Z

325

Joint Routing, Scheduling And Power Control For Multihop Wireless Networks With Multiple Antennas  

E-Print Network [OSTI]

We consider the problem of Joint Routing, Scheduling and Power-control (JRSP) problem for multihop wireless networks (MHWN) with multiple antennas. We extend the problem and a (sub-optimal) heuristic solution method for JRSP in MHWN with single antennas. We present an iterative scheme to calculate link capacities(achievable rates) in the interference environment of the network using SINR model. We then present the algorithm for solving the JRSP problem. This completes a feasible system model for MHWN when nodes have multiple antennas. We show that the gain we achieve by using multiple antennas in the network is linear both in optimal performance as well as heuristic algorithmic performance.

Vangala, Harish; Sharma, Prof Vinod

2011-01-01T23:59:59.000Z

326

Scheduling theory generally assumes that real-time systems are mostly composed of activities with hard  

E-Print Network [OSTI]

run on differ- ent underlying scheduling strategies. It is based on es- tablishing service contracts

Lipari, Giuseppe

327

General schedulability bound analysis and its applications in real-time systems  

E-Print Network [OSTI]

of the admitted tasks can meet its deadline. A new task will not be admitted unless it passes the schedulability test. Schedulability tests can be either direct or indirect. The utilization based schedulability test is the most common schedulability test approach...

Wu, Jianjia

2007-09-17T23:59:59.000Z

328

Multi-site Scheduling with Fuzzy Concepts Jrgen Sauer, Gerd Suelmann, and Hans-Jrgen Appelrath  

E-Print Network [OSTI]

management, job release, and production control of PPC. In most cases scheduling problems are addressedMulti-site Scheduling with Fuzzy Concepts Jürgen Sauer, Gerd Suelmann, and Hans-Jürgen Appelrath@informatik.uni-oldenburg.de Abstract The objective of multi-site scheduling is to support the scheduling activities of a global

Appelrath, Hans-Jürgen

329

On the Dual Effect in State-Based Scheduling of Networked Control Systems  

E-Print Network [OSTI]

On the Dual Effect in State-Based Scheduling of Networked Control Systems Chithrupa Ramesh, Henrik with state-based scheduling. In general, this makes the optimal scheduler and controller hard to find. However, by removing past controls from the scheduling criterion, we find that certainty equivalence holds

Johansson, Karl Henrik

330

EFFECTS OF SCHEDULING AND SPACING TOOLS ON CONTROLLERS' PERFORMANCE AND PERCEPTIONS OF THEIR WORKLOAD  

E-Print Network [OSTI]

EFFECTS OF SCHEDULING AND SPACING TOOLS ON CONTROLLERS' PERFORMANCE AND PERCEPTIONS areas. The efficient scheduling and control of aircraft from cruise to touchdown during congested the utility of air traffic control (ATC) scheduling but the theoretical advantage of a precision scheduling

331

Evaluation of Design Choices for Gang Scheduling using Distributed Hierarchical Control  

E-Print Network [OSTI]

Evaluation of Design Choices for Gang Scheduling using Distributed Hierarchical Control Dror G to control the adverse e ect of badly-matched gangs. Consequently the on-line mapping and scheduling, Israel Abstract Gang scheduling | the scheduling of a number of related threads to execute simultaneously

Feitelson, Dror

332

Thread Scheduling Mechanisms for Multiple-Context Parallel Processors  

E-Print Network [OSTI]

Scheduling tasks to efficiently use the available processor resources is crucial to minimizing the runtime of applications on shared-memory parallel processors. One factor that contributes to poor processor utilization ...

Fiske, James A. Stuart

1995-06-01T23:59:59.000Z

333

University at Buffalo (SUNY) Department of Industrial Engineering Scheduling Theory  

E-Print Network [OSTI]

University at Buffalo (SUNY) Department of Industrial Engineering IE 661 Scheduling Theory Chapter 2 Rakesh Nagi Department of Industrial Engineering University at Buffalo (SUNY) #12;University at Buffalo (SUNY) Department of Industrial Engineering Chapter 2: Deterministic Models Preliminaries

Nagi, Rakesh

334

Scheduling Smart Home Appliances Using Mixed Integer Linear Programming  

E-Print Network [OSTI]

electricity generation, personal electrical vehicles (PEVs) and distributed electricity generation the wind power's dynamic contribution to electricity generation and the PEVs' random demand of electricity electricity cost scheduling problem of smart home appliances. Operation char- acteristics, such as expected

Johansson, Karl Henrik

335

Optimal Preemptive Scheduling for General Target Functions Leah Epstein  

E-Print Network [OSTI]

on a machine of speed s, its processing time will be w/s. A non- preemptive schedule of the jobs. This case was studied in [11, 10, 6, 12]. Liu and Y

Beimel, Amos

336

Dynamic Scheduling of Skippable Periodic Tasks: Issues and Proposals  

E-Print Network [OSTI]

-Chetto and Audrey Marchand IRCCyN, University of Nantes, Nantes, FRANCE Email: {maryline.chetto, audrey.marchand Scheduling of Skippable Periodic Tasks in Weakly-Hard Real-Time Systems," by M. Silly-Chetto, and A. Marchand

Paris-Sud XI, Université de

337

Decision support tool for dynamic workforce scheduling in manufacturing environments \\  

E-Print Network [OSTI]

Scheduling for production in manufacturing environments requires an immense amount of planning. A large number of factors such as part availability, production cost, space constraints and labor supply must be taken into ...

Malik, Radhika, M. Eng. Massachusetts Institute of Technology

2013-01-01T23:59:59.000Z

338

Time-Slotted Scheduling For Agile All-Photonic Networks  

E-Print Network [OSTI]

are Xiao Liu, Nahid Saberi, Mark Coates and Lorne Mason. This paper is in the conference proceeding of IEEE. Nahid Saberi, proposed the frame based scheduling for AAPN, and implemented the algorithm in OPNET

339

Scheduling to minimize power consumption using submodular functions  

E-Print Network [OSTI]

We develop logarithmic approximation algorithms for extremely general formulations of multiprocessor multi-interval offline task scheduling to minimize power usage. Here each processor has an arbitrary specified power ...

Zadimoghaddam, Morteza

2010-01-01T23:59:59.000Z

340

Analytic framework for TRL-based cost and schedule models  

E-Print Network [OSTI]

Many government agencies have adopted the Technology Readiness Level (TRL) scale to help improve technology development management under ever increasing cost, schedule, and complexity constraints. Many TRL-based cost and ...

El-Khoury, Bernard

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "rate schedule waives" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

POLICY GUIDANCE MEMORANDUM #32 Schedule A Apointments of Persons...  

Broader source: Energy.gov (indexed) [DOE]

Office of Personnel Management amended 5 CFR 213.3102(u) to make it easier to appoint people with certain disabilities using the Schedule A hiring authority. The new regulation...

342

A hybrid bin-packing heuristic to multiprocessor scheduling  

E-Print Network [OSTI]

A hybrid bin-packing heuristic to multiprocessor scheduling. Adriana Alvim (alvim ***at*** inf.puc-rio.br) Celso Ribeiro (celso ***at*** inf.puc-rio.br). Abstract: The...

Adriana Alvim

343

Scheduling optimization of a real flexible job shop including side ...  

E-Print Network [OSTI]

Aug 19, 2013 ... The multitask cell at GKN Aerospace Sweden is a production cell con- ...... In order to demonstrate the effect of the squeezing procedure we solved ..... [13] J. Gao, M. Gen, L. Sun, Scheduling jobs and maintenances in flexible.

2013-08-19T23:59:59.000Z

344

Optimal Design and Scheduling of Unsteady State Material Recovery Networks  

E-Print Network [OSTI]

methodologies: the first is a hierarchical multi-step methodology developed for the design and scheduling of batch water (material of interest) recycle networks. A new source- double tank-sink arrangement is introduced to overcome the limitation of samecycle...

Rabie, Arwa H.

2010-01-14T23:59:59.000Z

345

Hanford Site Environmental Surveillance Master Sampling Schedule, January 2001  

SciTech Connect (OSTI)

This document contains the CY 2001 schedules for the routine collection of samples for the Surface Environmental Surveillance Project (SESP) and Drinking Water Monitoring Project. Each section includes sampling locations, sample types, and analyses to be performed.

Bisping, Lynn E.

2001-01-08T23:59:59.000Z

346

Gain scheduling for geometrically nonlinear flexible space structures  

E-Print Network [OSTI]

A gain-scheduling approach for the control of geometrically nonlinear structures is developed. The objective is to improve performance over current linear design techniques that are applied to the same control problem. The ...

Yung, Jeremy Hoyt, 1971-

2002-01-01T23:59:59.000Z

347

Forensic Management Academy Spring 2011 Tentative Schedule Forensic Management Academy  

E-Print Network [OSTI]

Forensic Management Academy ­ Spring 2011 Tentative Schedule Forensic Management Academy Spring:00 Tour Forensic Program Facilities 4:30 ­ 7:30 Session VIII Conflict Management Joyce Heames7:00 Free

Mohaghegh, Shahab

348

Polynomial Time Algorithms for Minimum Energy Scheduling  

E-Print Network [OSTI]

The aim of power management policies is to reduce the amount of energy consumed by computer systems while maintaining satisfactory level of performance. One common method for saving energy is to simply suspend the system during the idle times. No energy is consumed in the suspend mode. However, the process of waking up the system itself requires a certain fixed amount of energy, and thus suspending the system is beneficial only if the idle time is long enough to compensate for this additional energy expenditure. In the specific problem studied in the paper, we have a set of jobs with release times and deadlines that need to be executed on a single processor. Preemptions are allowed. The processor requires energy L to be woken up and, when it is on, it uses one unit of energy per one unit of time. It has been an open problem whether a schedule minimizing the overall energy consumption can be computed in polynomial time. We solve this problem in positive, by providing an O(n^5)-time algorithm. In addition we pr...

Baptiste, Philippe; Durr, Christoph

2009-01-01T23:59:59.000Z

349

An algorithm for scheduling a large pumped storage plant  

SciTech Connect (OSTI)

The Michigan Electric Coordination Center (MEPCC), operated by Consumers Power and Detroit Edison Companies, has the responsibility for scheduling the Ludington pumped storage plant. Ludington has an extremely large economic effect on the Consumers Power and Detroit Edison Companies' system due to its size (over 1800 MW net demonstrated generating capability). This paper presents a dynamic programming algorithm for scheduling large pumped storage plants and shows how this method can be coordinated with the commitment of the thermal units of the system.

Cohen, A.I.; Wan, S.H.

1985-08-01T23:59:59.000Z

350

Energy E#cient Online Deadline Scheduling HoLeung Chan # WunTat Chan + TakWah Lam # LapKei Lee # KinSum Mak #  

E-Print Network [OSTI]

­operated. A popular technology to reduce energy usage is to allow variable processor speed, which is commonly known that can vary its speed between 0 and a maximum speed T to minimize its energy usage (of which the rate to maximize the throughput, and fur­ thermore, its energy usage should be the smallest among all schedules

Wong, Prudence W.H.

351

2007 Wholesale Power Rate Case Initial Proposal : Direct Testimony.  

SciTech Connect (OSTI)

The purpose of our testimony is to sponsor the rate design portions of Bonneville Power Administration's (BPA) Wholesale Power Rate Development Study (WPRDS), WP-07-E-BPA-05, and associated portions of the Wholesale Power Rate Schedules and GRSPs (WP-07-E-BPA-07). Our testimony is organized in eight sections. The first section outlines the purpose of our testimony. Section 2 describes BPA's Demand Rates, including subsections on the definition of the Demand Rate, the method for computing the Demand Rates, and differences from the currently effective WP-02 Demand Rate. Section 3 describes BPA's Load Variance Rate, with subsections on the definition and purpose of the Load Variance Rate, application of the Load Variance Rate, how the Load Variance Rate is calculated, and the differences from the WP-02 Load Variance Rate. Section 4 describes the steps involved in developing BPA's energy rates and differences from the WP-02 rate case. Section 5 discusses discontinuation of the Stepped Up Multi-Year Block Rate. Section 6 describes a minor change to the Unauthorized Increase Rates and the Excess Factoring Rates. Section 7 describes the Targeted Adjustment Charge. Section 8 addresses the Operating Reserves Credit.

United States. Bonneville Power Administration.

2005-11-01T23:59:59.000Z

352

Safe Schedulability of Bounded-Rate Multi-Mode Systems Rajeev Alur  

E-Print Network [OSTI]

. INTRODUCTION There is a growing trend towards multi-mode composi- tional design frameworks [10, 15, 11-conditioning (HVAC) installations in a building so as to keep the temperature surrounding each installation

Alur, Rajeev

353

igure 4. Production Schedules at Two Development Rates for the Statistical  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30NaturalThousandExtensions473.6 W 54,849.062 210 50trillion . fHome >

354

New Rate Schedule CV-GID1 UNITED STATES DEPARTMENT OF ENERGY  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the Contributions andDataNational Libraryornl.gov Ron WalliA Key TargetGID1 UNITED

355

New Rate Schedule CV-UUP1 UNITED STATES DEPARTMENT OF ENERGY  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the Contributions andDataNational Libraryornl.gov Ron WalliA Key TargetGID1

356

SCE&G-2-E Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September 15,2015DepartmentDepartment ofSoft Costs »1-E Wholesale Power

357

SCE&G-3-E Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September 15,2015DepartmentDepartment ofSoft Costs »1-E Wholesale Power3-E

358

SCE&G-4-E Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September 15,2015DepartmentDepartment ofSoft Costs »1-E Wholesale

359

Figure 5. Production Schedules at Two Development Rates for the 5 Percent  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003ofDec. 31 705PC's and5 PC's

360

Property:OpenEI/UtilityRate/DemandChargeWeekdaySchedule | Open Energy  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExploration Jump to:FieldProceduresFY Description URLs toPublicationDate

Note: This page contains sample records for the topic "rate schedule waives" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Property:OpenEI/UtilityRate/DemandWeekdaySchedule | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExploration Jump to:FieldProceduresFY Description URLs

362

Property:OpenEI/UtilityRate/EnergyWeekdaySchedule | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExploration Jump to:FieldProceduresFY Description URLsEndDate Jump to:

363

Property:OpenEI/UtilityRate/EnergyWeekendSchedule | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExploration Jump to:FieldProceduresFY Description URLsEndDate Jump

364

CP&L-1-B Wholesale Power Rate Schedule | Department of Energy  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:June 2015 <Ones |Laboratory, JuneDid y ou knowofPRGMCOR

365

CP&L-2-B Wholesale Power Rate Schedule | Department of Energy  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:June 2015 <Ones |Laboratory, JuneDid y ou knowofPRGMCOR2-B

366

CP&L-3-B Wholesale Power Rate Schedule | Department of Energy  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:June 2015 <Ones |Laboratory, JuneDid y ou knowofPRGMCOR2-B3-B

367

CP&L-4-B Wholesale Power Rate Schedule | Department of Energy  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:June 2015 <Ones |Laboratory, JuneDid y ou

368

Application of the genetic algorithm for global scheduling and a single machine scheduling problem with periodic maintenance and semiresumable jobs  

E-Print Network [OSTI]

only between maintenance periods is met. The decision variables not only include the order of the jobs to be scheduled but now also include when the maintenance will be performed. This is not a nivial task. This thesis follows the style and format... FOR GLOBAL SCHEDULING . . . . . . . . 5 . . . . . . 7 . . . 12 17 30 1. Literature Review. . 2. Local Search Techniques . . 3. Genetic Algorithm Fundamentals . . . . . 4. Procedure. 5. Results. . 33 38 . . . 43 49 52 IV CONCLUSION . . 1...

Graves, Gregory Howard

1998-01-01T23:59:59.000Z

369

Ancillary-service details: Dynamic scheduling  

SciTech Connect (OSTI)

Dynamic scheduling (DS) is the electronic transfer from one control area to another of the time-varying electricity consumption associated with a load or the time-varying electricity production associated with a generator. Although electric utilities have been using this technique for at least two decades, its use is growing in popularity and importance. This growth is a consequence of the major changes under way in US bulk-power markets, in particular efforts to unbundle generation from transmission and to increase competition among generation providers. DS can promote competition and increase choices. It allows consumers to purchase certain services from entities outside their physical-host area and it allows generators to sell certain services to entities other than their physical host. These services include regulation (following minute-to-minute variations in load) and operating reserves, among others. Such an increase in the number of possible suppliers and customers should encourage innovation and reduce the costs and prices of providing electricity services. The purpose of the project reported here was to collect and analyze data on utility experiences with DS. Chapter 2 provides additional details and examples of the definitions of DS. Chapter 3 explains why DS might be an attractive service that customers and generators, as well as transmission providers, might wan to use. Chapter 4 presents some of the many current DS examples the authors uncovered in their interviews. Chapter 5 discusses the costs and cost-effectiveness of DS. Chapter 6 explains what they believe can and cannot be electronically moved from one control area to another, primarily in terms of the six ancillary services that FERC defined in Order 888. Chapter 7 discusses the need for additional research on DS.

Hirst, E.; Kirby, B.

1997-01-01T23:59:59.000Z

370

TOBUREN, MARK CHRISTOPHER. Power Analysis and Instruction Schedul-ing for Reduced di/dt in the Execution Core of High-Performance Microprocessors.  

E-Print Network [OSTI]

to a processor's average peak power dissipation is the pres- ence of high di=dt in its execution core. High-energy-cycle energy constraints. This thesis proposes a novel approach to instruction scheduling based on the con- cept of schedule slack, which builds energy e cient schedules by limiting the energy dissipated

Conte, Thomas M.

371

UCSF Class/Course SchedulingUCSF Class/Course Scheduling On-Line Resources forOn-Line Resources for  

E-Print Network [OSTI]

UCSF Class/Course SchedulingUCSF Class/Course Scheduling On-Line Resources forOn-Line ResourcesUCSF Class/Course Scheduling 1. From the Nursing Student Resources web page (http://nursing.ucsf.edu/student-resources

Klein, Ophir

372

The Case for Feedback Control RealTime Scheduling John A. Stankovic, Chenyang Lu, Sang H. Son and Gang Tao*  

E-Print Network [OSTI]

The Case for Feedback Control Real­Time Scheduling John A. Stankovic, Chenyang Lu, Sang H. Son dynamic systems. In this paper, we present a new scheduling paradigm, which we call feedback control real­time scheduling. Feedback control real­time scheduling defines error terms for schedules, monitors the error

Son, Sang H.

373

Integrated network design and scheduling problems : optimization algorithms and applications.  

SciTech Connect (OSTI)

We consider the class of integrated network design and scheduling problems. These problems focus on selecting and scheduling operations that will change the characteristics of a network, while being speci cally concerned with the performance of the network over time. Motivating applications of INDS problems include infrastructure restoration after extreme events and building humanitarian distribution supply chains. While similar models have been proposed, no one has performed an extensive review of INDS problems from their complexity, network and scheduling characteristics, information, and solution methods. We examine INDS problems under a parallel identical machine scheduling environment where the performance of the network is evaluated by solving classic network optimization problems. We classify that all considered INDS problems as NP-Hard and propose a novel heuristic dispatching rule algorithm that selects and schedules sets of arcs based on their interactions in the network. We present computational analysis based on realistic data sets representing the infrastructures of coastal New Hanover County, North Carolina, lower Manhattan, New York, and a realistic arti cial community CLARC County. These tests demonstrate the importance of a dispatching rule to arrive at near-optimal solutions during real-time decision making activities. We extend INDS problems to incorporate release dates which represent the earliest an operation can be performed and exible release dates through the introduction of specialized machine(s) that can perform work to move the release date earlier in time. An online optimization setting is explored where the release date of a component is not known.

Nurre, Sarah G.; Carlson, Jeffrey J.

2014-01-01T23:59:59.000Z

374

Meals & Lodging: No receipts required for meals within State of LA allowances. Receipts required for meals or lodging claimed above normal rates or at approved U.S. Department of State rates. Any meals included in the registration fee for a  

E-Print Network [OSTI]

for meals or lodging claimed above normal rates or at approved U.S. Department of State rates. Any meals. See the Reimbursement Schedules on the back of this guide for meals & lodging reimbursement rates is prohibited. Conference Lodging: Travelers may be reimbursed for conference lodging at actual rates

375

Chlorite Dissolution Rates  

SciTech Connect (OSTI)

Spreadsheets provides measured chlorite rate data from 100 to 300C at elevated CO2. Spreadsheet includes derived rate equation.

Carroll, Susan

2013-07-01T23:59:59.000Z

376

Chlorite Dissolution Rates  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Spreadsheets provides measured chlorite rate data from 100 to 300C at elevated CO2. Spreadsheet includes derived rate equation.

Carroll, Susan

377

The Interest Rate Conundrum  

E-Print Network [OSTI]

Flows and US Interest Rates, NBER Working Paper No 12560. [Working Paper # 2008 -03 The Interest Rate Conundrum Roger

Craine, Roger; Martin, Vance L.

2009-01-01T23:59:59.000Z

378

Microgrid Reliability Modeling and Battery Scheduling Using Stochastic Linear Programming  

SciTech Connect (OSTI)

This paper describes the introduction of stochastic linear programming into Operations DER-CAM, a tool used to obtain optimal operating schedules for a given microgrid under local economic and environmental conditions. This application follows previous work on optimal scheduling of a lithium-iron-phosphate battery given the output uncertainty of a 1 MW molten carbonate fuel cell. Both are in the Santa Rita Jail microgrid, located in Dublin, California. This fuel cell has proven unreliable, partially justifying the consideration of storage options. Several stochastic DER-CAM runs are executed to compare different scenarios to values obtained by a deterministic approach. Results indicate that using a stochastic approach provides a conservative yet more lucrative battery schedule. Lower expected energy bills result, given fuel cell outages, in potential savings exceeding 6percent.

Cardoso, Goncalo; Stadler, Michael; Siddiqui, Afzal; Marnay, Chris; DeForest, Nicholas; Barbosa-Povoa, Ana; Ferrao, Paulo

2013-05-23T23:59:59.000Z

379

Schedules of Key Environmental Impact Statements | Department of Energy  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administrationcontroller systems controller systemsisSchedules Schedules Print Monday, 31

380

Scheduling & Resources - Power Marketing - Sierra Nevada Region (SNR) -  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administrationcontroller systems controller systemsisSchedules Schedules Print Monday, 31Western

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While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Scheduling-shutdown-2014-MEC v4 web.xlsx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administrationcontroller systems controller systemsisSchedules Schedules Print Monday, 31WesternAug

382

Joint scheduling of jobs and preventive maintenance operations in the flowshop sequencing problem: A resolution with sequential and integrated  

E-Print Network [OSTI]

Joint scheduling of jobs and preventive maintenance operations in the flowshop sequencing problem study on joint production and preventive maintenance scheduling strategies regarding flowshop problems, Preventive maintenance, Joint scheduling, GA, Taboo search, NEH heuristic, Flowshop. 1. Introduction

Boyer, Edmond

383

Dynamic Scheduling of a Parallel Server System in Heavy Traffic with Complete Resource Pooling: Asymptotic Optimality of a  

E-Print Network [OSTI]

as the optimal cost in the Brownian control problem. Short title: Dynamic Scheduling of Parallel Servers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 2.3 Scheduling Control and Performance Measures . . . . . . . . . . . . . . . . . . . . . . . . 7Dynamic Scheduling of a Parallel Server System in Heavy Traffic with Complete Resource Pooling

384

Developing Standard Logic for a Detailed Engineering Project Schedule in the Process Industry  

E-Print Network [OSTI]

Planning Meeting (IPPM) for a standard detailed engineering project in the process industry will be used to develop scheduling logic for use in developing detail engineering project schedules. However, because the IPPM does not clearly distinguish...

Miller-Karns, Kara A.

2009-05-15T23:59:59.000Z

385

An Integrated ACO Approach for the Joint Production and Preventive Maintenance Scheduling  

E-Print Network [OSTI]

An Integrated ACO Approach for the Joint Production and Preventive Maintenance Scheduling Problem, an integrated ACO approach to solve joint production and preventive maintenance scheduling problem very effective solutions for this problem. Key words-- ACO, Production, Preventive maintenance

Paris-Sud XI, Université de

386

Design, implementation, and operation of a class based batch queue scheduler for VAX/VMS  

SciTech Connect (OSTI)

Fermilab found that the standard VMS batch configuration options were inadequate for the job mix that exists on the Fermilab central computer facility VAX cluster. Accordingly, Fermilab designed and implemented a class based batch queue scheduler. This scheduler makes use of the standard VMS job controller and batch system. Users interact with the scheduler at job submission time by specification of CPU time limits and batch job characteristics. This scheduler allows Fermilab to make efficient use of our large heterogeneous VAX cluster which contains machines ranging from a VAX 780 to a VAX 8800. The scheduler was implemented using the VMS system services $GETQUI and $SNDJBC, without changes to the existing VMS job scheduler. As a result, the scheduler should remain compatible with future VMS versions. This session will discuss the design goals, implementation, and operational experience with Fermilab's class based batch queue scheduler.

Chadwick, K.

1988-05-20T23:59:59.000Z

387

Cooperative Multitasking for Heterogeneous Accelerators in the Linux Completely Fair Scheduler  

E-Print Network [OSTI]

Cooperative Multitasking for Heterogeneous Accelerators in the Linux Completely Fair Scheduler to be aware of accelerators, hold different run queues for these components and perform scheduling decisions migration of applications between accelerators. We show that cooperative multitasking is possible

Hellebrand, Sybille

388

Optimal inspection scheduling with alternative fatigue reliability formulations for steel bridges  

E-Print Network [OSTI]

Optimal inspection scheduling with alternative fatigue reliability formulations for steel bridges H, USA Keywords: steel bridges, structural reliability, fatigue, optimal inspection, fracture, plate girder, box girder ABSTRACT: A reliability-based method for inspection scheduling of steel bridges

Manuel, Lance

389

Three heuristics for transmission scheduling in sensor networks with multiple mobile sinks  

E-Print Network [OSTI]

based on different principles (imitation of human decision making, stochastic transmission and constantThree heuristics for transmission scheduling in sensor networks with multiple mobile sinks Damla Algorithms, Design, Measurement, Experimentation Keywords Sensors, Sensor Networks, Transmission scheduling

Bölöni, Ladislau L

390

Residential Energy Simulation and Scheduling: A Case Study Approach Jagannathan Venkatesh, Baris Aksanli, Tajana Simuni Rosing  

E-Print Network [OSTI]

, green energy, residential energy management, smart scheduling I. INTRODUCTION Building energy nature of home energy consumption [5]. A majority of work has focused on characterizing green energyResidential Energy Simulation and Scheduling: A Case Study Approach Jagannathan Venkatesh, Baris

Simunic, Tajana

391

H.A.R. 19-102 - Fee Schedule for the Issuance of a Permit to...  

Open Energy Info (EERE)

H.A.R. 19-102 - Fee Schedule for the Issuance of a Permit to Perform Work on State HighwaysLegal Abstract This regulation outlines the fee schedule for the...

392

A Practical Framework for Configuration of Scheduling and Concurrency Control in Linux  

E-Print Network [OSTI]

system. Only specifying the scheduling semantics for an application is not sufficient because concurrency control also significantly affects the behavior of the application. This work demonstrates the integration of the Hierarchical Group Scheduling...

Phagan, Tyrian

2011-08-31T23:59:59.000Z

393

Automation of airlift scheduling for the upgraded command and control system of military airlift command  

E-Print Network [OSTI]

This report describes a conceptual design for automation of the scheduling of airlift activities as part of the current upgrade of the MAC C2 System. It defines the airlift scheduling problem in generic terms before reviewing ...

Simpson, R. W.

1984-01-01T23:59:59.000Z

394

Controlled Substance Security Plan (Schedules I, II, III, IV and V Controlled Substances)  

E-Print Network [OSTI]

Controlled Substance Security Plan (Schedules I, II, III, IV and V Controlled Substances) Guidelines for Acquiring & Accounting for Controlled Substances for Scientific Use Lawrence Berkeley National;LAWRENCEBERKELEYr\\IATIOMLI-ABOMTORY CONTROLLEDSUBSTANCEPROTOCOL (SCHEDULEr& il CONTROLLEDSUBSTANCES) Gontrolled

Eisen, Michael

395

The Savannah River Site`s groundwater monitoring program: 1990 sampling schedule  

SciTech Connect (OSTI)

This schedule provides a final record of the 1990 sampling schedule for the SRS groundwater monitoring program conducted by the Environmental Protection Department/Environmental Section (EPD/EMS). It includes all the wells monitored by EPD/EMS at SRS during 1990 and identifies the constituents sampled, the sampling frequency, and the reasons for sampling. Sampling requests are incorporated into the schedule throughout the year. Drafts of the schedule are produced and revised quarterly.

Rogers, C.D. [Westinghouse Savannah River Co., Aiken, SC (United States)

1991-02-07T23:59:59.000Z

396

Energy Efficient Deadline Scheduling in Two Processor Systems  

E-Print Network [OSTI]

Energy Efficient Deadline Scheduling in Two Processor Systems Tak-Wah Lam1 , Lap-Kei Lee1 , Isaac K manage its energy usage by scaling dynamically its speed. In this paper we attempt to extend such work energy. The motivation comes from the fact that dual-core processors are get- ting common nowadays. Our

Wong, Prudence W.H.

397

Optimal Scheduling under Variable Electricity Pricing and Availability  

E-Print Network [OSTI]

due dates · Location of event points ­ At demand points ­ At some energy pricing/availability levels periods with same energy pricing/power level · Only valid for single stage plants November 11, 2009 EnergyOptimal Scheduling under Variable Electricity Pricing and Availability Pedro M. Castro Iiro

Grossmann, Ignacio E.

398

Task Scheduling and Voltage Selection for Energy Minimization  

E-Print Network [OSTI]

. However, task schedul- ing without consideration of VS may not present the best energy saving potential to sleep mode while idling are becoming available 1, 11 . Two main system level energy saving techniques a large amount of energy saving 17 . In this paper, we consider real-time dependent tasks with deadlines

Hu, Xiaobo Sharon

399

Workforce-Constrained Preventive Maintenance Scheduling using Evolution Strategies  

E-Print Network [OSTI]

Workforce-Constrained Preventive Maintenance Scheduling using Evolution Strategies ABSTRACT Heavy of minimizing the makespan for a set of preventive maintenance (PM) tasks, requiring single- or multiple approach to the SA approach for this class of PM problems. Subject Area: Preventive Maintenance, Evolution

Terwilliger, Mark

400

Optimal Maintenance Scheduling of a Power Plant with Seasonal  

E-Print Network [OSTI]

-Wide Optimization Meeting · Plan preventive maintenance shutdowns ­ Minimize payment for skilled labor ­ Save onlineOptimal Maintenance Scheduling of a Power Plant with Seasonal Electricity Tariffs Pedro M. Castro maintenance team doing shutdowns · Shutdown period mandatory after [ , ] h online · Challenging (hard

Grossmann, Ignacio E.

Note: This page contains sample records for the topic "rate schedule waives" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

University at Buffalo (SUNY) Department of Industrial Engineering Scheduling Theory  

E-Print Network [OSTI]

1 University at Buffalo (SUNY) Department of Industrial Engineering IE 661 Scheduling Theory Course Introduction Rakesh Nagi Department of Industrial Engineering University at Buffalo (SUNY) #12;2 University at Buffalo (SUNY) Department of Industrial Engineering About the course This graduate level course covers

Nagi, Rakesh

402

Approximation schemes for covering and scheduling on related machines  

E-Print Network [OSTI]

Approximation schemes for covering and scheduling on related machines Yossi Azar1 ,Leah Epstein2 1 Abstract. We consider the problem of assigning a set of jobs to m par- allel related machines so as to maximize the minimum load over the machines. This situation corresponds to a case that a system which con

Azar, Yossi

403

Approximation schemes for covering and scheduling on related machines  

E-Print Network [OSTI]

Approximation schemes for covering and scheduling on related machines Yossi Azar 1 ,Leah Epstein 2­Aviv University. y Abstract. We consider the problem of assigning a set of jobs to m par­ allel related machines so as to maximize the minimum load over the machines. This situation corresponds to a case

Epstein, Leah

404

Scheduling of Connected Autonomous Vehicles on Highway Lanes  

E-Print Network [OSTI]

Scheduling of Connected Autonomous Vehicles on Highway Lanes Jiajun Hu, Linghe Kong, Wei Shu}@sjtu.edu.cn + University of New Mexico, USA, shu@ece.unm.edu Abstract--With recent progress in vehicle autonomous driving autonomous sys- tems. This paper studies lane assignment strategies for connected autonomous vehicles

405

Downlink Traffic Scheduling in Green Vehicular Roadside Infrastructure  

E-Print Network [OSTI]

or prohibitive expense of wired electrical power. In these situations, an alternative to wired power connections D. Todd, George Karakostas and Dongmei Zhao Department of Electrical and Computer Engineering Mc of scheduling for energy efficient road-side infrastructure. In certain scenarios, vehicle locations can

Karakostas, George

406

Improved Multi-processor Scheduling for Flow Time and Energy  

E-Print Network [OSTI]

. To Prudence W. H. Wong October 29, 2009 Abstract Energy usage has been an important concern in recent research energy usage is dynamic speed scaling (see, e.g., [8, 14, 24, 28]) where the processor can vary its speedImproved Multi-processor Scheduling for Flow Time and Energy Tak-Wah Lam Lap-Kei Lee Isaac K. K

Wong, Prudence W.H.

407

Test Access Mechanism Optimization, Test Scheduling, and Tester Data Volume  

E-Print Network [OSTI]

Test Access Mechanism Optimization, Test Scheduling, and Tester Data Volume Reduction for System Marinissen, Senior Member, IEEE Abstract--We describe an integrated framework for system-on-chip (SOC) test automation. Our framework is based on a new test access mechanism (TAM) architecture consisting of flexible

Chakrabarty, Krishnendu

408

Visopt ShopFloor System: Integrating Planning into Production Scheduling  

E-Print Network [OSTI]

Visopt ShopFloor System: Integrating Planning into Production Scheduling Roman Barták Charles, the first machine pre-processes the item (3 time units) that is finished in the second machine (additional 3 in parallel and a worker is required (left) or via a serial production when the item is pre- processed

Bartak, Roman

409

1 ON LANGUAGES FOR DYNAMIC RESOURCE SCHEDULING PROBLEMS  

E-Print Network [OSTI]

, mathematics, chemistry and the oil industry. Particularly in today's relatively specialized economy, it is di are: management, operations, marketing and human resources. Management thinks of itself a1 ON LANGUAGES FOR DYNAMIC RESOURCE SCHEDULING PROBLEMS Warren B. Powell Abstract: The modeling

Powell, Warren B.

410

Real-Time Scheduling for Energy Harvesting Sensors  

E-Print Network [OSTI]

autonomous sensors to scavenge the energy in the environment. Environmental applications include forest fireReal-Time Scheduling for Energy Harvesting Sensors Maryline Chetto IRCCyN Lab University of Nantes Institut Universitaire de Technologie - Saida E-mail: rafichagechehade@ul.edu.lb Abstract-- Energy

Paris-Sud XI, Université de

411

POWER SCHEDULING IN A HYDRO-THERMAL SYSTEM UNDER UNCERTAINTY  

E-Print Network [OSTI]

POWER SCHEDULING IN A HYDRO-THERMAL SYSTEM UNDER UNCERTAINTY C.C. Car e1, M.P. Nowak2, W. Romisch2 Forschungsgemeinschaft. leads to a tremendous increase in the complex- ity of the traditional power optimization mod- els-burning) thermal units, pumped-storage hydro plants and delivery con- tracts and describe an optimization model

Rmisch, Werner

412

POWER SCHEDULING IN A HYDROTHERMAL SYSTEM UNDER UNCERTAINTY  

E-Print Network [OSTI]

POWER SCHEDULING IN A HYDROTHERMAL SYSTEM UNDER UNCERTAINTY C.C. Care 1 , M.P. Nowak 2 , W. R in the complex ity of the traditional power optimization mod els. The remedy we propose is decomposition whichstorage hydro plants and delivery con tracts and describe an optimization model for its leastcost operation

Rmisch, Werner

413

Using Heuristic Algorithms to Effectively Schedule Database Utilities*  

E-Print Network [OSTI]

1 Using Heuristic Algorithms to Effectively Schedule Database Utilities* Zusheng Xu and Patrick systems (DBMSs). Data maintenance utilities ensure that the data in tables are stored as efficiently as possible so executing the utilities is crucial to preventing applications from suffering major performance

414

Energy-aware scheduling under reliability and makespan constraints  

E-Print Network [OSTI]

We consider a task graph to be executed on a set of homogeneous processors. We aim at minimizing the energy consumption while enforcing two constraints: a prescribed bound on the execution time or makespan), and a reliability threshold. Dynamic voltage and frequency scaling (DVFS) is a model frequently used to reduce the energy consumption of a schedule, but it has negative effect on its reliability. In this work, to improve the reliability of a schedule while reducing the energy consumption, we allow for the re-execution of some tasks. We assess the complexity of the tri-criteria scheduling problem (makespan, reliability, energy) with two different speed models: either processors can have arbitrary speeds (continuous speeds), or a processor can run at a finite number of different speeds, and it can change its speed during a computation. We propose several novel tri-criteria scheduling heuristics under the continuous speed model, and we evaluate them through a set of simulations. Our two best heuristics turn ...

Aupy, Guillaume; Robert, Yves

2011-01-01T23:59:59.000Z

415

Simultaneous Scheduling and Control of Multiproduct Continuous Parallel Lines  

E-Print Network [OSTI]

continuous reactors is cast as a Mixed-Integer Dynamic Optimization (MIDO) problem. The reactor dynamic;Abstract In this work we propose a simultaneous scheduling and control optimization formulation to ad- dress both optimal steady-state production and dynamic product transitions in multiproduct parallel

Grossmann, Ignacio E.

416

Energy-Aware Meeting Scheduling Algorithms for Smart Buildings  

E-Print Network [OSTI]

The increasing worldwide concern over the energy con- sumption of commercial buildings calls for new approaches; Build- ing energy efficiency 1 Introduction The energy consumption of commercial buildings is of growingEnergy-Aware Meeting Scheduling Algorithms for Smart Buildings Abhinandan Majumdar Computer Systems

Albonesi, David H.

417

On Pipelining Dynamic Instruction Scheduling Logic Jared Stark  

E-Print Network [OSTI]

Engineering ¡ The University of Texas at Austin¢ mbrown,patt£ @ece.utexas.edu Abstract A machine's performance [3] warned that the dynamic instruction scheduling logic for current machines performs an atomic ¡ Microprocessor Research Labs Intel Corporation jared.w.stark@intel.com Dept. of Electrical and Computer

Zhang, Zhongfei "Mark"

418

Optimal Scheduling of Industrial Combined Heat and Power Plants  

E-Print Network [OSTI]

Optimal Scheduling of Industrial Combined Heat and Power Plants under Time-sensitive Electricity Prices Sumit Mitra , Lige Sun , Ignacio E. Grossmann December 24, 2012 Abstract Combined heat and power companies. However, under-utilization can be a chance for tighter interaction with the power grid, which

Grossmann, Ignacio E.

419

Maintenance scheduling problems as benchmarks for constraint algorithms  

E-Print Network [OSTI]

a power plant. We show how these scheduling prob- lems can be cast as constraint satisfaction problems ect any real life situations. In this paper we demonstrate another method for comparing CSP search plant. Our approach was to de ne a formal model which captures most of the interesting characteristics

Dechter, Rina

420

Maintenance scheduling problems as benchmarks for constraint algorithms  

E-Print Network [OSTI]

units within a power plant. We show how these scheduling prob­ lems can be cast as constraint another method for comparing CSP search algo­ rithms, by applying them to random problems that have been units within an electric power plant. Our approach was to define a formal model which captures most

Dechter, Rina

Note: This page contains sample records for the topic "rate schedule waives" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Hydro-Thermal Scheduling (HTS) 1.0 Introduction  

E-Print Network [OSTI]

1 Hydro-Thermal Scheduling (HTS) 1.0 Introduction From an overall systems view, the single most, relative to that of thermal plants, are very small. There are three basic types of hydroelectric plants;2 Pump-storage This kind of hydro plant is a specialized reservoir-type plant which has capability to act

McCalley, James D.

422

TRU Waste Management Program cost/schedule optimization analysis  

SciTech Connect (OSTI)

The cost/schedule optimization task is a necessary function to insure that program goals and plans are optimized from a cost and schedule aspect. Results of this study will offer DOE information with which it can establish, within institutional constraints, the most efficient program for the long-term management and disposal of contact handled transuranic waste (CH-TRU). To this end, a comprehensive review of program cost/schedule tradeoffs has been made, to identify any major cost saving opportunities that may be realized by modification of current program plans. It was decided that all promising scenarios would be explored, and institutional limitations to implementation would be described. Since a virtually limitless number of possible scenarios can be envisioned, it was necessary to distill these possibilities into a manageable number of alternatives. The resultant scenarios were described in the cost/schedule strategy and work plan document. Each scenario was compared with the base case: waste processing at the originating site; transport of CH-TRU wastes in TRUPACT; shipment of drums in 6-Packs; 25 year stored waste workoff; WIPP operational 10/88, with all sites shipping to WIPP beginning 10/88; and no processing at WIPP. Major savings were identified in two alternate scenarios: centralize waste processing at INEL and eliminate rail shipment of TRUPACT. No attempt was made to calculate savings due to combination of scenarios. 1 ref., 5 figs., 1 tab. (MHB)

Detamore, J.A. (Rockwell International Corp., Albuquerque, NM (United States). Joint Integration Office); Raudenbush, M.H.; Wolaver, R.W.; Hastings, G.A. (Stoller (S.M.) Corp., Boulder, CO (United States))

1985-10-01T23:59:59.000Z

423

CE 4990 -Construction Scheduling Week 1: Steel Frame Project  

E-Print Network [OSTI]

CE 4990 - Construction Scheduling Week 1: Steel Frame Project Fall 2011 January 13, 2012 Introduction You are a construction manager for a project to build a steel frame for an office building1 of 964 pre-fabricated structural steel members will be used in the construction. The standard bay size

Mukherjee, Amlan

424

Power-Aware Dynamic Task Scheduling for Heterogeneous Accelerated Clusters  

E-Print Network [OSTI]

Power-Aware Dynamic Task Scheduling for Heterogeneous Accelerated Clusters Tomoaki Hamano, Toshio Endo and Satoshi Matsuoka Tokyo Institute of Technology/JST, Japan Abstract Recent accelerators with accelerators and general CPUs are becoming popular, such as LANL's Roadrun- ner and our own TSUBAME

425

Optimal Scheduling for Energy Harvesting Transmitters with Hybrid Energy Storage  

E-Print Network [OSTI]

Optimal Scheduling for Energy Harvesting Transmitters with Hybrid Energy Storage Omur Ozel Khurram with an energy harvesting transmitter which has a hybrid energy storage unit composed of a perfectly efficient super-capacitor (SC) and an inefficient battery. The SC has finite space for energy storage while

Ulukus, Sennur

426

Downstream-based Scheduling for Energy Conservation in Green EPONs  

E-Print Network [OSTI]

1 Downstream-based Scheduling for Energy Conservation in Green EPONs Shen Chen, Ahmad R. Dhaini maximum energy conservation in green Ethernet passive optical networks (EPONs). While overlapping allocation scheme for energy conservation in green EPONs. Simulation results verify the proposed model

Shihada, Basem

427

Energy-Efficient Flow Time Scheduling: An Experimental Study  

E-Print Network [OSTI]

] and Intel's Speedstep [6]. Running a job at a slower speed saves energy, yet it takes longer time and may and energy. An algorithm called AJC (active job count) has been proposed [3, 7], in which the speedEnergy-Efficient Flow Time Scheduling: An Experimental Study Jude-Thaddeus Ojiaku (speaker) Daniel

Wong, Prudence W.H.

428

Deadline Scheduling and Power Management for Speed Bounded Processors  

E-Print Network [OSTI]

). The aim is to minimize the energy for completing all jobs by their deadlines. In this paper, we extend model. Assuming no sleep state, a scheduler, to save energy, probably runs a job as slow as its deadline-Kei Lee Isaac K.K. To Prudence W.H. Wong 1 Introduction Energy consumption has become an important issue

Wong, Prudence W.H.

429

Deadline Scheduling and Power Management for Speed Bounded Processors  

E-Print Network [OSTI]

be scaled arbitrarily high (the infinite speed model), SOA can complete all jobs with reduced energy usage,15,23,24] enables a processor to vary the speed dynamically. Running a job slower reduces energy usage, but it takes online job scheduling with speed scaling and energy usage taken into consideration. The challenge arises

Wong, Prudence W.H.

430

Nonmigratory Multiprocessor Scheduling for Response Time and Energy  

E-Print Network [OSTI]

can vary its speed dynamically. Running a job at a slower speed is more energy efficient, yet it takesS) and conserving energy. One commonly used QoS measurement for schedul­ ing jobs on a processor is the average time and energy usage into consideration. Details are as follows. 1.1 Models and Previous Work Jobs

Wong, Prudence W.H.

431

COST FUNCTIONS FOR SCHEDULING TASKS IN CYBER-PHYSICAL SYSTEMS  

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COST FUNCTIONS FOR SCHEDULING TASKS IN CYBER-PHYSICAL SYSTEMS Abhinna Jain, C.M. Krishna, Israel, cost functions, controlled plant dynamics Abstract: In Cyber Physical Systems (CPS), computational response times are different. In this paper, we consider using cost functions of task response time

Massachusetts at Amherst, University of

432

Periodic Constraint-Based Control Using Dynamic Wireless Sensor Scheduling  

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Periodic Constraint-Based Control Using Dynamic Wireless Sensor Scheduling James Weimer, Jos´e Ara´ujo, Aitor Hernandez and Karl Henrik Johansson Abstract-- Constraint-based control over wireless sensor net- works (WSNs) require control strategies that achieve a desired closed-loop system performance while

Johansson, Karl Henrik

433

M1 internship account On update schedules and dynamics of  

E-Print Network [OSTI]

M1 internship account 2007-2008 On update schedules and dynamics of boolean networks Mathilde Noual Internship done at the university of Concepción under the direction of Julio Aracena hal-00688157,version1 network rely on several dierent parameters. During this internship, we have especially been looking

Paris-Sud XI, Université de

434

WINTER-SPRING 2009 SCHEDULE Workshops to Improve Productivity by  

E-Print Network [OSTI]

.html Motor Systems Management Motor Systems Management training is designed to help facility personnel reduce tracking, maintenance, repair, power quality, management of power transmission and driven loads reverse for complete schedule of classes. Fundamentals of Compressed Air Systems (Advanced Course Also

435

Sensor Scheduling in Electronic Support Using Markov Chains  

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.El-Mahassni@dsto.defence.gov.au Electronic Warfare & Radar Division Defence Science & Technology Organisation P.O. Box 1500, Edinburgh South1 Sensor Scheduling in Electronic Support Using Markov Chains I. Vaughan L. Clarkson , Edwin D. El;3 Abstract In Electronic Support, receivers must maintain surveillance over the very wide portion

Clarkson, Vaughan

436

MINI-MUSEUM Schedule 2014 DATE TOPIC SPEAKER  

E-Print Network [OSTI]

MINI-MUSEUM Schedule 2014 DATE TOPIC SPEAKER Oct 15 Dinosaurs and the origin of birds Prof. Hans amphibians Prof. David M. Green (Director, Redpath Museum) Oct. 29 Nov.5 Nov. 12 Pandora's Ballast Tank) Barbara Lawson (Curator of World Cultures, Redpath Museum) Nov. 19 Humans, evolution, and the future

Shoubridge, Eric

437

Intelligent Train Scheduling on a High-Loaded Railway Network  

E-Print Network [OSTI]

Intelligent Train Scheduling on a High-Loaded Railway Network A. Lova1 , P. Tormos1 , F. Barber2 application to assist planners in adding new trains on a complex railway network. It includes many trains. The application builds the timeta- ble for new trains linking the available time slots to trains to be schedu- led

Salido, Miguel Angel

438

Optimizing with constraints: a case study in scheduling maintenance of electric power units  

E-Print Network [OSTI]

industry is that of optimally schedul­ ing preventative maintenance of power generating units within of the electric power industry: optimally scheduling preventative maintenance of power generating units within or two dozen power generating units which can be individually scheduled for preventive maintenance. Both

Dechter, Rina

439

Optimizing with constraints: a case study in scheduling maintenance of electric power units  

E-Print Network [OSTI]

is that of optimally schedul- ing preventative maintenance of power generating units within a power plant. We show how: optimally scheduling preventative maintenance of power generating units within a power plant. We de ne can be individually scheduled for preventive maintenance. Both the required duration of each unit

Dechter, Rina

440

Developing scheduling policies in gLite middleware A. Kretsis, P. Kokkinos, E. A. Varvarigos  

E-Print Network [OSTI]

and simulations to practice and the actual implementation of our scheduling algorithm. In this work we also],[6]. Most of these scheduling algorithms, have been evaluated through simulations. A taxonomy experiences from implementing and integrating a new job scheduling algorithm in the gLite Grid middleware

Varvarigo, Emmanouel "Manos"

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While these samples are representative of the content of NLEBeta,
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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Energy Efficient Multiprocessor Task Scheduling under Input-dependent Variation Jason Cong and Karthik Gururaj  

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to produce a scheduling solution and voltage assignment such that the average energy consumption is minimized that the scheduling solution generated by our algorithm can provide up to 25% reduction in energy consumption over greedy dynamic slack reclamation algorithms. Index Terms--DVS, scheduling, average energy consumption

Cong, Jason "Jingsheng"

442

Simultaneous Cyclic Scheduling and Control of Tubular Reactors: Parallel Production Lines  

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Simultaneous Cyclic Scheduling and Control of Tubular Reactors: Parallel Production Lines Antonio scheduling and control formulation is tested using three multiproduct continuous tubular reactors featuring on the simultaneous scheduling and control (SC) of tubular reactors in a single production line [1] to the case

Grossmann, Ignacio E.

443

Simultaneous Cyclic Scheduling and Control of Tubular Reactors: Single Production Lines  

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Simultaneous Cyclic Scheduling and Control of Tubular Reactors: Single Production Lines Antonio multiproduct tubular reactors. The simultaneous scheduling and control problem for continuous multiproduct.13.98.241/antonio 1 #12;Abstract In this work we propose a simultaneous scheduling and control optimization

Grossmann, Ignacio E.

444

The BEST Desktop Soft Real-Time Scheduler Scott A. Banachowski and Scott A. Brandt  

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The BEST Desktop Soft Real-Time Scheduler Scott A. Banachowski and Scott A. Brandt University of California, Santa Cruz E-mail: sbanacho,sbrandt¡ @cse.ucsc.edu Abstract Best-effort CPU scheduling- effort scheduler that handles CPU-intensive, I/O-intensive, and periodic SRT processes using a single

Miller, Ethan L.

445

DHARMA: A Tool for Evaluating Dynamic Scheduling Algorithms for Realtime Multiprocessor Systems  

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­tolerance and resource reclaiming. Section 3 reviews the earlier work on dynamic scheduling algorithms. In Section 4, we discuss our dynamic scheduling and reclaiming algorithms. Section 5 discusses the software architectureDHARMA: A Tool for Evaluating Dynamic Scheduling Algorithms for Real­time Multiprocessor Systems G

Manimaran, Govindarasu

446

Energy-Efficient Speed Scheduling for Real-Time Tasks under Thermal Constraints  

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Energy-Efficient Speed Scheduling for Real-Time Tasks under Thermal Constraints Shengquan Wang. We develop energy-efficient speed scheduling schemes for frame-based real-time tasks under thermal- sumption with comparison to the reactive schemes in the literature. Keywords: Energy-efficient scheduling

Wang, Shengquan

447

On Utility Accrual Processor Scheduling with Wait-Free Synchronization for Embedded Real-Time Software  

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On Utility Accrual Processor Scheduling with Wait-Free Synchronization for Embedded Real-Time Software ABSTRACT We present the first wait-free utility accrual (UA) real-time scheduling algorithms for embedded real-time systems. UA scheduling algorithms allow application activities to be sub- ject to time/utility

Ravindran, Binoy

448

A Utility Accrual Scheduling Algorithm for Real-Time Activities With Mutual Exclusion Resource Constraints  

E-Print Network [OSTI]

A Utility Accrual Scheduling Algorithm for Real-Time Activities With Mutual Exclusion Resource-processor real-time scheduling algorithm called the Generic Utility Scheduling algorithm (which we will refer activities that have time con- straints specified using arbitrarily shaped time/utility functions, and have

Ravindran, Binoy

449

Scheduling Automated Traffic on a Network of Arvind Giridhar and P.R. Kumar  

E-Print Network [OSTI]

vehicles which are au- tomatically driven along smart highways and/or city roads [2], [3]. Such automation consider the problem of scheduling automated traffic in a city. Such automatic scheduling can improve algorithm and evaluate its performance through simulations. Index Terms: Traffic scheduling, smart vehicles

450

Energy-Aware Scheduling with Quality of Surveillance Guarantee in Wireless Sensor Networks Technical Report  

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Energy-Aware Scheduling with Quality of Surveillance Guarantee in Wireless Sensor Networks 200 Union Street SE Minneapolis, MN 55455-0159 USA TR 06-021 Energy-Aware Scheduling with Quality #12;#12;1 Energy-Aware Scheduling with Quality of Surveillance Guarantee in Wireless Sensor Networks

Jeong, Jaehoon "Paul"

451

Abstract--Time-driven Switching (TDS) networks with non-immediate forwarding (NIF) provides scheduling  

E-Print Network [OSTI]

Abstract-- Time-driven Switching (TDS) networks with non-immediate forwarding (NIF) provides that with NIF scheduling complexity may grow exponentially. Efficiently finding a schedule from an exponential formulation of the NIF scheduling problem, under a wide variety of networking requirements, then introduces

Baldi, Mario

452

Workload Management: More Than Just Job Scheduling James Patton Jones, Bill Nitzberg and Bob Henderson  

E-Print Network [OSTI]

management is queueing, or the process of collecting together ``work'' to be executed on a set of resourcesWorkload Management: More Than Just Job Scheduling James Patton Jones, Bill Nitzberg and Bob "workload management" and scheduling are synomnous. This is not the case. Scheduling is in fact just one out

Newhall, Tia

453

The value of schedule update frequency on distributed energy storage performance in renewable energy  

E-Print Network [OSTI]

The value of schedule update frequency on distributed energy storage performance in renewable of Distributed Energy Storage devices for Renewable Energy integration. The primary objective is to describe scheduling on the storage performance in renewable energy integration. Optimal schedules of Distributed

Boyer, Edmond

454

Southwest Florida Water Management District Watering Schedule Beginning July 1, 2010  

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Southwest Florida Water Management District Watering Schedule Beginning July 1, 2010 Restrictions Watering Schedule and Times Lawn watering is limited to twice per week unless your city or county has a different schedule or stricter hours in effect, Even addresses may water on Thursday and/or Sunday before 10

Watson, Craig A.

455

Schedulability Analysis for Fixed Priority Real-Time Systems with Energy-Harvesting  

E-Print Network [OSTI]

Schedulability Analysis for Fixed Priority Real-Time Systems with Energy-Harvesting Yasmina sufficient schedulability tests for fixed-priority pre-emptive scheduling of a real-time system under energy constraints. In this problem, energy is harvested from the ambient environment and used to replenish a storage

Paris-Sud XI, Université de

456

Reducing Energy Costs for IBM Blue Gene/P via Power-Aware Job Scheduling  

E-Print Network [OSTI]

Reducing Energy Costs for IBM Blue Gene/P via Power-Aware Job Scheduling Zhou Zhou1 , Zhiling Lan1 scheduling approach for HPC systems based on variable energy prices and job power profiles. In particular, we from produc- tion systems show that our power-aware job scheduling approach can reduce the energy cost

Feitelson, Dror

457

EDF Option for Scheduling Real-Time Jobs in Energy Harvesting Systems  

E-Print Network [OSTI]

EDF Option for Scheduling Real-Time Jobs in Energy Harvesting Systems Maryline CHETTO IRCCy of devising algorithms for scheduling time critical jobs on a single processor computing system with no energy approach for scheduling independent jobs preemptively when there is no energy limitation and no processing

Boyer, Edmond

458

Joint Power Control and Link Scheduling in Wireless Networks for Throughput Optimization  

E-Print Network [OSTI]

Joint Power Control and Link Scheduling in Wireless Networks for Throughput Optimization Liqun Fu formulate the general joint link scheduling and power control problem as an in- teger linear programming optimality. Index Terms--scheduling, power control, SINR constraints. I. INTRODUCTION Due to their unconfined

Huang, Jianwei

459

Multiple-objective Scheduling for the Hierarchical Control of Flexible Manufacturing Cells  

E-Print Network [OSTI]

Multiple-objective Scheduling for the Hierarchical Control of Flexible Manufacturing Cells (Revised level controller employs a combined priority rule to rank shop orders considering multiple scheduling the detailed schedule with projected order completion times back to the shop controller. Upon receiving

Nagi, Rakesh

460

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 59, NO. 5, MAY 2014 1147 Stochastic Sensor Scheduling for  

E-Print Network [OSTI]

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 59, NO. 5, MAY 2014 1147 Stochastic Sensor Scheduling--Optimal sensor scheduling with applications to net- worked estimation and control systems is considered. We model approach to optimal control of Markov chains, we extract an optimal scheduling policy to fairly allocate

Johansson, Karl Henrik

Note: This page contains sample records for the topic "rate schedule waives" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

ON THE SYNTHESIS OF OPTIMAL SCHEDULERS IN DISCRETE EVENT CONTROL PROBLEMS WITH MULTIPLE GOALS  

E-Print Network [OSTI]

ON THE SYNTHESIS OF OPTIMAL SCHEDULERS IN DISCRETE EVENT CONTROL PROBLEMS WITH MULTIPLE GOALS HERV to modify if necessary and piece together, or schedule, all of the controllers built in the first step, optimal control, scheduler, traveling salesman problem AMS subject classifications. 93A99, 49-XX, 90C27

Paris-Sud XI, Université de

462

ILPBased Scheduling with Time and Resource Constraints in High Level Synthesis \\Lambda  

E-Print Network [OSTI]

The scheduling problem in high­level synthesis is con­ cerned with sequencing the operators of a control­ constrained scheduling (RCS) minimizes the number of control steps when the number of FU's are fixed; (2) time­constrained scheduling (TCS) minimizes the number of resources when the number of control steps is fixed. We can also

Walker, Robert A.

463

Appropriate Realisation of MIMO Gain-Scheduled Controllers W.E. Leithead  

E-Print Network [OSTI]

Appropriate Realisation of MIMO Gain-Scheduled Controllers D.J.Leith W.E. Leithead Department characteristics of a controller designed by the gain-scheduling approach can be strongly dependent realisations for general MIMO gain-scheduled controllers. An extended local linear equivalence condition

Duffy, Ken

464

Control #15421 In this paper we present a method of optimally scheduling trips travelling down  

E-Print Network [OSTI]

Control #15421 SUMMARY In this paper we present a method of optimally scheduling trips travelling of trips as parameters and generates a schedule that maximizes the number of trips and determines when each schedule in which human interactions are minimized. Starting with a mathematically derived upper bound

Morrow, James A.

465

Interpolated versus Polytopic Gain Scheduling Control Laws for Fin/Rudder Roll Stabilisation of Ships  

E-Print Network [OSTI]

Interpolated versus Polytopic Gain Scheduling Control Laws for Fin/Rudder Roll Stabilisation be done through the use of gain-scheduling (GS) control law. In this study, a GS-control law is obtained and a desired stabilisation quality factor. Gain scheduling is a way to obtain parameter dependent controllers

Paris-Sud XI, Université de

466

Power Controlled Minimum Frame Length Scheduling in TDMA Wireless Networks with  

E-Print Network [OSTI]

Power Controlled Minimum Frame Length Scheduling in TDMA Wireless Networks with Sectored Antennas controlled min- imum frame length scheduling for TDMA wireless networks. Given a set of one-hop transmission scheduling and power control was first addressed by Tamer and Ephremides in [1, 2]. Given a set of one

Arabshahi, Payman

467

The U.S. National Football League Scheduling Problem Bistra N. Dilkina and William S. Havens  

E-Print Network [OSTI]

was required to allow the user to control and assist in the scheduling process. A prototype systemThe U.S. National Football League Scheduling Problem Bistra N. Dilkina and William S. Havens. Vancouver, British Columbia {bnd, havens}@cs.sfu.ca Abstract We describe the problem of scheduling

Keinan, Alon

468

A GAIN SCHEDULED CONTROL LAW FOR FIN/RUDDER ROLL STABILISATION OF SHIPS  

E-Print Network [OSTI]

A GAIN SCHEDULED CONTROL LAW FOR FIN/RUDDER ROLL STABILISATION OF SHIPS Hervé Tanguy , Guy Lebret leads to a gain-scheduled control law. The synthesis is based on multi-objective optimisation stabilisation; H control; Gain Scheduled Control; polytopic representation; LMI. 1. INTRODUCTION A major

Paris-Sud XI, Université de

469

A Planning, Scheduling and Control Architecture for Advanced Life Support Systems  

E-Print Network [OSTI]

A Planning, Scheduling and Control Architecture for Advanced Life Support Systems V. Jorge Leon 77058 Abstract This paper describes an integrated planning, schedul- ing and control architecture and the requirements for plan- ning, scheduling and control architectures are pre- sented. Next, the main components

Kortenkamp, David

470

Predicting Time-Delays under Real-Time Scheduling for Linear Model Predictive Control  

E-Print Network [OSTI]

Predicting Time-Delays under Real-Time Scheduling for Linear Model Predictive Control Zhenwu Shi prediction of time-delays caused by real-time scheduling. Then, a model predictive controller is designed, the interaction between real-time scheduling and control design has received interest in the literature

Zhang, Fumin

471

Energy Efficient Joint Scheduling and Power Control for Wireless Sensor Networks  

E-Print Network [OSTI]

Energy Efficient Joint Scheduling and Power Control for Wireless Sensor Networks Gang Lu in TDMA link scheduling with transmission power control using a realistic SINR-based interference model. We then investigate the scheduling and power control problem with the objective of minimizing

Krishnamachari, Bhaskar

472

Gain Scheduling Control Design of an Erbium-Doped Fibre Amplifier by Pump Compensation  

E-Print Network [OSTI]

Gain Scheduling Control Design of an Erbium-Doped Fibre Amplifier by Pump Compensation Min Ding amplifier's (EDFA's) dynamics. We demonstrate a gain scheduling scheme on a PID controller that minimizes- pensation. The scheduled controller requires only three easily accessible parameters: the total input power

Pavel, Lacra

473

Scheduling Parallel Applications in Distributed Jon B. Weissman and Xin Zhao  

E-Print Network [OSTI]

, improved overhead control, greater resource sharing, greater resource heterogeneity, wide­area scheduling1 Scheduling Parallel Applications in Distributed Networks Jon B. Weissman and Xin Zhao Division Prophet is a run­time scheduling system designed to support the efficient execution of paral­ lel

Weissman, Jon

474

Scheduling Job Families on Non-Identical Parallel Machines under Run-To-Run Control Constraints  

E-Print Network [OSTI]

1 Scheduling Job Families on Non-Identical Parallel Machines under Run-To-Run Control Constraints A}@emse.fr Keywords: Scheduling, Parallel Machines, Advanced Process Control, Time Constraint, Integer Linear), Run to Run control (R2R), and more recently Virtual Metrology (VM). Scheduling and APC are usually

Paris-Sud XI, Université de

475

Feasibility Analysis of Aircraft Landing Scheduling for Non-Controlled Airports  

E-Print Network [OSTI]

Feasibility Analysis of Aircraft Landing Scheduling for Non-Controlled Airports AIAA-2004 airports Air traffic control automation system development Trajectory analysis Aircraft landing scheduling aircraft scheduling will become the key operational issue at non-controlled airports as the operation

Valasek, John

476

Robust Gain Scheduling techniques for Adaptive control Patrice Antoinette and Gilles Ferreres  

E-Print Network [OSTI]

Robust Gain Scheduling techniques for Adaptive control Patrice Antoinette and Gilles Ferreres for implementing the LFT controller is reduced. This controller is scheduled as a function of the parameters) and of gain- scheduled control (LPV methods) has been (much) less investigated, see for instance [10], [11

477

Scheduling ON-OFF home control devices Catherine Plaisant & Ben Shneiderman  

E-Print Network [OSTI]

Scheduling ON-OFF home control devices Catherine Plaisant & Ben Shneiderman Human: the control of the scheduler is through a touchscreen interface. The Microtouch or Elographic touchscreens given a variety of home control scheduling tasks and encouraged to comment on the interfaces [2

Shneiderman, Ben

478

Bima memo 53 27Feb97 DYNAMIC SCHEDULING FOR THE BIMA ARRAY  

E-Print Network [OSTI]

There are two traditional methods for scheduling observations. 1) interactive observations give control of a project too often. The scheduling program is guided by decision thresholds which control when to startBima memo 53 ­ 27Feb97 DYNAMIC SCHEDULING FOR THE BIMA ARRAY M. C. H. Wright Radio Astronomy

Militzer, Burkhard

479

Optimal Integrated Control and Scheduling of Networked Control Systems with Communication  

E-Print Network [OSTI]

1 Optimal Integrated Control and Scheduling of Networked Control Systems with Communication Abstract-- This paper addresses the problem of the optimal control and scheduling of Networked Control. This formulation allows the solving of the optimal control and scheduling problem using efficient branch and bound

Paris-Sud XI, Université de

480

SEQUENTIAL OPEN-LOOP SCHEDULING STRATEGIES P. Nash, R.R. Weber  

E-Print Network [OSTI]

-optimal, scheduling strategies. This new approach is based on the notion of sequential open-loop control, sometimesSEQUENTIAL OPEN-LOOP SCHEDULING STRATEGIES P. Nash, R.R. Weber Cambridge University ABSTRACT For certain scheduling problems wi th pre-emptive processing, a dynamic programming formulation reduces

Weber, Richard

Note: This page contains sample records for the topic "rate schedule waives" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

A vital component of modern manufacturing systems is the scheduling and control system, which determines com-  

E-Print Network [OSTI]

264 Abstract A vital component of modern manufacturing systems is the scheduling and control system" to the unexpected system changes. Keywords: Scheduling and Control, Simulation Methods and Models Introduction iterative simulation-based scheduling mechanisms for manufacturing systems that operate in dynamic

Kutanoglu, Erhan

482

Efficiency and Fairness Trade-Offs in SC-FDMA Schedulers  

E-Print Network [OSTI]

- rithms in LTE. These are admission control, packet scheduling, power control, and interference control [2 on the packet scheduling and power control algorithms. Let us note that LTE systems are designed to offer large flexibility in packet scheduling in time, frequency, and spa- tial domains. Through control channel signals

Ayanoglu, Ender

483

Optimal Real-Time Scheduling of Control Tasks with State Feedback Resource Allocation  

E-Print Network [OSTI]

1 Optimal Real-Time Scheduling of Control Tasks with State Feedback Resource Allocation Mohamed El for the optimal integrated control and real-time scheduling of control tasks. First, the problem of the optimal integrated control and non- preemptive off-line scheduling of control tasks in the sense of the H2

Paris-Sud XI, Université de

484

Stochastic Sensor Scheduling with Application to Networked Control Farhad Farokhi and Karl H. Johansson  

E-Print Network [OSTI]

Stochastic Sensor Scheduling with Application to Networked Control Farhad Farokhi and Karl H. Johansson Abstract-- We consider stochastic sensor scheduling with application to networked control systems) among the control loops. We apply this scheduling policy to a networked control system composed

Johansson, Karl Henrik

485

A PI-based control structure as an operating system scheduler  

E-Print Network [OSTI]

A PI-based control structure as an operating system scheduler Martina Maggio, Federico Terraneo, entirely composed of a PI-based control structure. The proposed scheduler is experimented with in several.e., not control-based) policy optimised for that condition, as long as design assumptions such as schedulability

Como, Giacomo

486

Robust control/scheduling co-design: application to robot control Daniel Simon  

E-Print Network [OSTI]

Robust control/scheduling co-design: application to robot control Daniel Simon INRIA Rh of robust closed-loop control can also be ap- plied to the real-time scheduler to provide on-line adap- tion of some scheduling parameters, with the objective of controlling the computing resource allocation

Paris-Sud XI, Université de

487

INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE Scheduling and Controlling Work-In-Process  

E-Print Network [OSTI]

1 INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE Scheduling and Controlling Work contrôlables. inria-00072699,version1-24May2006 #12;3 Scheduling and controlling Work-In-Process: An On In this paper, we study an approach that aims at scheduling parts and controlling WIP. Hence, w are interested

Paris-Sud XI, Université de

488

Basics of Advanced Software Systems Static cyclic scheduling on automotive Electronic Control Units (ECU)  

E-Print Network [OSTI]

Basics of Advanced Software Systems Static cyclic scheduling on automotive Electronic Control Units Systems ­ Coursework ­ March 9, 2012. lic scheduling on automotive Electronic Control Units (ECU) (nicolas - Name, - Execution time, - Period of execution, - First activation date, also cal period. The scheduling

Navet, Nicolas

489

Computational Study for the Workforce Scheduling and Routing J. Arturo Castillo-Salazar1  

E-Print Network [OSTI]

Computational Study for the Workforce Scheduling and Routing Problem J. Arturo Castillo-Salazar1 , Dario Landa-Silva1 and Rong Qu1 1Automated Scheduling, Optimisation and Planning (ASAP) Research Group.landasilva, rong.qu}@nottingham.ac.uk Keywords: Employee Scheduling, Workforce Optimization, Personnel Routing

Qu, Rong

490

Opportunistic Spectrum Scheduling for Mobile Cognitive Radio Networks in White Space  

E-Print Network [OSTI]

Opportunistic Spectrum Scheduling for Mobile Cognitive Radio Networks in White Space Li Zhang, Kai of secondary users, carefully scheduling the spectrum allocation in cognitive radio networks operating on white in an opportunistic manner, this paper studies how to schedule the spectrum assignment for mobile cognitive radio

California at Davis, University of

491

RealTime Scheduling of SensorBased Control Systems David B. Stewart and Pradeep K. Khosla  

E-Print Network [OSTI]

scheduler has been implemented as the default scheduler of CHIMERA II, a real­time operating system being­deadline­first, minimum­laxity­first, CHIMERA II Real­Time Operating System. 1 Introduction Many sensor­based control. Section 4 describes our implementation of the MUF scheduler as the default scheduler of the CHIMERA II

492

Graduate Students Seminar Bloomfield 527 14:30 15:30 The Due-Date Assignment Problem in Scheduling  

E-Print Network [OSTI]

Scheduling is a crucial aspect of operations control, be it in manufacturing or in service. The need in Scheduling: A Robust Optimization Approach Chen Bukay Supervisors: Hussein Naseraldin, Liron Yedidsion service levels necessitate efficient scheduling. There are various types of scheduling problems

Levit, Anna

493

Enhanced Energy-Aware Feedback Scheduling of Embedded Control Systems  

E-Print Network [OSTI]

Dynamic voltage scaling (DVS) is one of the most effective techniques for reducing energy consumption in embedded and real-time systems. However, traditional DVS algorithms have inherent limitations on their capability in energy saving since they rarely take into account the actual application requirements and often exploit fixed timing constraints of real-time tasks. Taking advantage of application adaptation, an enhanced energy-aware feedback scheduling (EEAFS) scheme is proposed, which integrates feedback scheduling with DVS. To achieve further reduction in energy consumption over pure DVS while not jeopardizing the quality of control, the sampling period of each control loop is adapted to its actual control performance, thus exploring flexible timing constraints on control tasks. Extensive simulation results are given to demonstrate the effectiveness of EEAFS under different scenarios. Compared with the optimal pure DVS scheme, EEAFS saves much more energy while yielding comparable control performance.

Xia, Feng; Zhao, Wenhong; Sun, Youxian; Dong, Jinxiang

2008-01-01T23:59:59.000Z

494

Final Report - Dynamic Path Scheduling through Extensions to Generalized Multiprotocol Label Switching (GMPLS)  

SciTech Connect (OSTI)

The major accomplishments of the project are the successful software implementation of the Phase I scheduling algorithms for GMPLS Label Switched Paths (LSPs) and the extension of the IETF Path Computation Element (PCE) Protocol to support scheduling extensions. In performing this work, we have demonstrated the theoretical work of Phase I, analyzed key issues, and made relevant extensions. Regarding the software implementation, we developed a proof of concept prototype as part of our Algorithm Evaluation System (AES). This implementation uses the Linux operating system to provide software portability and will be the foundation for our commercial software. To demonstrate proof of concept, we have implemented LSP scheduling algorithms to support two of the key GMPLS switching technologies (Lambda and Packet) and support both Fixed Path (FP) and Switched Path (SP) routing. We chose Lambda and Packet because we felt it was essential to include both circuit and packet switching technologies as well as to address all-optical switching in the study. As conceptualized in Phase I, the FP algorithms use a traditional approach where the LSP uses the same physical path for the entire service duration while the innovative SP algorithms allow the physical path to vary during the service duration. As part of this study, we have used the AES to conduct a performance analysis using metro size networks (up to 32 nodes) that showed that these algorithms are suitable for commercial implementation. Our results showed that the CPU time required to compute an LSP schedule was small compared to expected inter-arrival time between LSP requests. Also, when the network size increased from 7 to 15 to 32 nodes with 10, 26, and 56 TE links, the CPU processing time showed excellent scaling properties. When Fixed Path and Switched Path routing were compared, SP provided only modestly better performance with respect to LSP completion rate, service duration, path length, and start time deviation. In addition, the SP routing required somewhat more CPU time than the FP routing. However, when the allowable range for the start time is increased, the CPU time for SP increased less rapidly than FP such that the CPU processing times became comparable. Therefore, SP routing may scale better than FP routing. The Path Computation Element Working Group is a complementary working group to the GMPLS working group (CCAMP) in the IETF and is developing standards to discover, manage, and access elements that compute routes for GMPLS for LSPs. The algorithms used to compute the routes are not subject to standardization. Since the PCE supports only standard GMPLS LSPs, it does not support scheduled LSPs. Therefore, it is a natural extension of our Phase I work to introduce this enhancement into the PCE. In addition, the PCE adds another dimension to our product line because the PCE by itself may be a product with a standard interface.

Principal Investigator: Dr. Abdella Battou

2009-05-22T23:59:59.000Z

495

Energy Use and Irrigation Scheduling for Efficient Water Use  

E-Print Network [OSTI]

. Agricultural Water Management 96 (2009) 1698-1704. Piccinni, G., J. Ko, T. Marek and D. Leskovar. 2009. Crop coefficients specific to multiple phenological stages for evapotranspiration?based irrigation management of onion and spinach. Hort. Science 44... COLLEGE OF AGRICULTURE AND LIFE SCIENCES TR-393 2010 Energy Use and Irrigation Scheduling for Efficient Water Use By Thomas Marek, P.E. Senior Research Engineer Texas AgriLife Research Amarillo, Texas and Dr...

Marek, Thomas; Porter, Dana

496

An implementation of opportunistic scheduling for robotic assembly  

E-Print Network [OSTI]

effective. Robots are now capable of faster assembly times and increased consistency, leading to better quality. Yet, much more is needed. Robots are going to have to get "smarter". 1. 3 The Problem Manual assembly is too costly and robotic assembly...AN I MPLEMENTAT Z ON OF OPPORTUNZSTZC SCHEDULING FOR ROBOTZC ASSEMBLY A Thesis by ALLAN WAYNE BUTLER Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER...

Butler, Allan Wayne

2012-06-07T23:59:59.000Z

497

Scheduling screening inspections for replaceable and non-replaceable systems  

E-Print Network [OSTI]

. For instance, the American Cancer Society recommends three tests to detect signs of breast cancer: mammography, clinical breast exam and breast self-examination. Additionally, the American Medical Womens Association recommends annual mammography and clin- ical... cancer. For instance, mammography?s ability to detect a breast cancer when it is already started is estimated to 77.6% in (Houssami, Ciatto, Irwig, Simpson and Macaskill, 2002). Therefore, when designing screening inspection schedules, the fallibility...

Aral, Bahadir

2009-05-15T23:59:59.000Z

498

A method for developing visually intelligent construction scheduling data  

E-Print Network [OSTI]

and support is unyielding. vu TABLE OF CONTENTS ABSTRACT. Page DEDICATION . . ACKNOWLEDGEMENTS . . . LIST OF FIGURES. . V1 LIST OF TABLES. 1 INTRODUCTION 1. 1 Background. 1. 2 Problem Statement. 1. 3 Research Objectives. 1. 4 Significance. 2... LITERATURE REVIEW. . . . . 1 . . . . 2 2. 1 Scheduling. 2. 2 Simulation Models. . 2. 2. 1 Overview. 2. 2. 2 Application. 2. 2. 3 CYCLONE 2. 2. 4 STROBOSCOPE 2. 2. 5 ABC-Sim. . . 2. 3 Productivity Analysis. 2. 4 Graphic Representation: Three...

Pilgrim, Brent Christian

2001-01-01T23:59:59.000Z

499

Sacramento Ordinance to Waive Fees for Solar Hot Water  

Broader source: Energy.gov [DOE]

An ordinance suspending for the calendar years 2007-2009 all fees related to installations of solar water heaters on existing residences.

500

Energy Efficient Greedy Link Scheduling and Power Control in wireless networks  

E-Print Network [OSTI]

We consider the problem of joint link scheduling and power control for wireless networks with average transmission power constraints. Due to the high computational complexity of the optimal policies, we extend the class of greedy link scheduling policies to handle average power constraints. We develop a greedy link scheduling and power control scheme GECS, with provable performance guarantees. We show that the performance of our greedy scheduler can be characterized using the Local Pooling Factor (LPF) of a network graph, which has been previously used to characterize the stability of the Greedy Maximal Scheduling (GMS) policy for wireless networks. We also simulate the performance of GECS on wireless network, and compare its performance to another candidate greedy link scheduling and power control policy.

Sridharan, Arun

2012-01-01T23:59:59.000Z