Sample records for rate schedule waives

  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. 2012 Transmission Rate Schedules

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

    2014 Transmission, Ancillary, and Control Area Service Rate Schedules and General Rate Schedule Provisions (FY 2014-2015) October 2013 United States Department of Energy...

  3. Rate Schedule CPP-2

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

    CPP-2 (Supersedes Schedule CPP-1) UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATES FOR CUSTOM PRODUCT POWER Effective:...

  4. 2007 Wholesale Power Rate Schedules : 2007 General Rate Schedule Provisions.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2006-11-01T23:59:59.000Z

    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.

  5. Rate Schedule COTP-T3

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

    COTP-T3 (Supersedes Schedule COTP-T2) UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CALIFORNIA-OREGON TRANSMISSION PROJECT SCHEDULE OF RATE FOR...

  6. Rate Schedule CV-NWT5

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

    NWT5 (Supersedes Schedule CV-NWT4) UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATE FOR NETWORK INTEGRATION TRANSMISSION...

  7. Rate Schedule CV-SUR4

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

    SUR4 (Supersedes Schedule CV-SUR3) UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATE FOR SUPPLEMENTAL RESERVE SERVICE...

  8. Rate Schedule CV-F13

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

    F13 (Supersedes Schedule CV-F12) UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATES FOR BASE RESOURCE AND FIRST...

  9. Rate Schedule PACI-T3

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

    PACI-T3 (Supersedes Schedule PACI -T2) UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION PACIFIC ALTERNATING CURRENT INTERTIE PROJECT SCHEDULE OF RATE FOR...

  10. Rate Schedule CV-RFS4

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

    RFS4 (Supersedes Schedule CV-RFS3) UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATE FOR REGULATION AND FREQUENCY...

  11. Rate Schedule CV-EID4

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

    EID4 (Supersedes Schedule CV-EID3) UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATE FOR ENERGY IMBALANCE SERVICE...

  12. Rate Schedule CV-SPR4

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

    SPR4 (Supersedes Schedule CV-SPR3) UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATE FOR SPINNING RESERVE SERVICE...

  13. Rate Schedules | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO Overview OCHCO Overview OCHCODepartmentEnergy April 20138Rate Schedules Rate Schedules

  14. 1996 Wholesale Power and Transmission Rate Schedules.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1996-10-01T23:59:59.000Z

    Bonneville Power Administration`s (BPA) 1996 Wholesale Power Rate Schedules, 1996 Ancillary Products and Services Rate Schedule, 1996 Transmission Rate Schedules, and General Rate Schedule Provisions, contained herein, were approved on an interim basis effective October 1, 1996. These rate schedules and provisions were approved by the Federal Energy Regulatory Commission (FERC), United States Department of Energy, in September 1996 (Docket Nos EF96-2011-000 and EF96f-2021-000). These rate schedules and General Rate Schedule Provisions were approved on a final basis by the FERC July 30, 1997, in Dept. of Energy--Bonneville Power Administration, Docket Nos. EF96-2011-000 and EF96-2021-000. Except as noted elsewhere, these 1996 rate schedules and provisions supersede BPA`s Wholesale Power Rate Schedules and General Rate Schedule Provisions, and Transmission Rate Schedules and General Transmission Rate Schedule Provisions, effective October 1, 1995. These rate schedules and general rate schedule provisions include all errata.

  15. Rate Schedule CV-TPT7

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

    TPT7 (Supersedes Schedule CV-TPT6) UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATE FOR TRANSMISSION OF WESTERN POWER BY...

  16. 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...

  17. 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...

  18. Rate Schedule CV-T3 (Supersedes Schedules CV- T2) UNITED STATES...

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

    T3 (Supersedes Schedules CV- T2) UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATE FOR POINT-TO-POINT TRANSMISSION...

  19. 2007 Wholesale Power Rate Case Initial Proposal : 2007 Wholesale Power Rate Schedule and General Rate Schedule Provisions.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2005-11-01T23:59:59.000Z

    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.

  20. 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...

  1. 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...

  2. 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...

  3. A study of enhancements to rate monotone scheduling

    E-Print Network [OSTI]

    Menon, Radhika Kozhikodakatha Veetil

    1991-01-01T23:59:59.000Z

    . The lrighest level first policy is shown to be optimal for nonpreemptive scheduling, for two processor systems by Chandy and Reynolds [8]. They define the level of a, task in a tree to be the length of the longest path between the task and any leaf task... periods being Ti, Tz and their run-times being Ci, Cz. The request rate of a task is defined to be reciprocal of its request period. 29 III. A Structure of the periods In this section we derive the request patterns over different periods for the case...

  4. New Rate Schedule CV-UUP1 UNITED STATES DEPARTMENT OF ENERGY

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

    UUP1 UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATE FOR UNRESERVED USE PENALTIES Effective: October 1, 2011, through...

  5. New Rate Schedule CV-GID1 UNITED STATES DEPARTMENT OF ENERGY

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

    GID1 UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATE FOR GENERATOR IMBALANCE SERVICE Effective: October 1, 2011,...

  6. Approximation Algorithms for Wireless Link Scheduling with Flexible Data Rates

    E-Print Network [OSTI]

    Kesselheim, Thomas

    2012-01-01T23:59:59.000Z

    We consider scheduling problems in wireless networks with respect to flexible data rates. That is, more or less data can be transmitted per time depending on the signal quality, which is determined by the signal-to-interference-plus-noise ratio (SINR). Each wireless link has a utility function mapping SINR values to the respective data rates. We have to decide which transmissions are performed simultaneously and (depending on the problem variant) also which transmission powers are used. In the capacity-maximization problem, one strives to maximize the overall network throughput, i.e., the summed utility of all links. For arbitrary utility functions (not necessarily continuous ones), we present an O(log n)-approximation when having n communication requests. This algorithm is built on a constant-factor approximation for the special case of the respective problem where utility functions only consist of a single step. In other words, each link has an individual threshold and we aim at maximizing the number of lin...

  7. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch > TheNuclearHomeland andEffectsScanning/TransmissionScheduledSchedules

  8. Santee-1-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 DataDepartment of Energy Your Density Isn'tOrigin ofEnergy atLLC - FE DKT. 10-160-LNG -Energy Proposed1-E Wholesale Power Rate

  9. Santee-2-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 DataDepartment of Energy Your Density Isn'tOrigin ofEnergy atLLC - FE DKT. 10-160-LNG -Energy Proposed1-E Wholesale Power Rate2-E

  10. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch > TheNuclearHomeland andEffectsScanning/TransmissionScheduled

  11. Rate schedule

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

    kWh 9302015 Demand Charge SLIP 5.18kW-month 9302015 Energy Charge SLIP 12.19 millskWh 9302015 Cost Recovery Charge (CRC) SLIP 0 millskWh 9302015 Transmission Service...

  12. Rates and Repayment Services

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

    Tariff Rates FY 2015 Rates and Rate Schedules **Effective October 1, 2014** FY 2014 Rates and Rate Schedules FY 2013 Rates and Rate Schedules FY 2012 Rates and Rate Schedules FY...

  13. RATES

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

    Marketing > RATES RATES Current Rates Past Rates 2006 2007 2008 2009 2010 2011 2012 Rates Schedules Power CV-F13 CPP-2 Transmissions CV-T3 CV-NWT5 PACI-T3 COTP-T3 CV-TPT7 CV-UUP1...

  14. Rates and Repayment Services

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

    Customer Letter - Preliminary Review of Drought Adder Component for 2011 Firm Power Rates 2015 Rates and Rate Schedule - Current * 2010 Rates and Rate Schedule 2009 Rates and...

  15. Rates and Repayment Services

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

    Rates and Repayment Services Consolidated Rate Schedules FY 2015 Consolidated Rate Schedules FY 2014 Rates BCP Annual Rate Process Central Arizona Project Transmission Rate Process...

  16. Optimal Scheduling for Constant-Rate Multi-Mode Systems Rajeev Alur

    E-Print Network [OSTI]

    Alur, Rajeev

    -mode systems are hybrid systems that can switch freely among a finite set of modes, and whose dynamics Keywords Multi-Mode Systems, Cyber-Physical Systems, Peak Mini- mization, Green Scheduling, Hybrid Automata "heating, ventilation, and air conditioning" (HVAC) systems. The correlation between extreme weather

  17. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8,Dist. Category UC-lFederal ColumbiaASCR2FOR THEFNAL8

  18. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8,Dist. Category UC-lFederal ColumbiaASCR2FOR

  19. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032) -Less isNFebruary 2004August 2011CHPRC ReportKristen Nicole2012 2014

  20. The Schedule

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

    1997-03-28T23:59:59.000Z

    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.

  1. Pushing schedule derivation method

    SciTech Connect (OSTI)

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

    1996-12-31T23:59:59.000Z

    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.

  2. RATES

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

    Planning & Projects Power Marketing Rates You are here: SN Home page > Power Marketing > RATES Rates and Repayment Services Rates Current Rates FY 15 PRR worksheet (PDF - 31K) FY...

  3. RATES

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

    RATES Rates Document Library SNR Rates Process Calendar (PDF - 171K) Procedures Informal Process Transmission Action Items List (PDF - 144K) Power Action Item List updated on...

  4. Effective Rate Period

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

    10012014 - 03312015 Mid-Year Change (if applicable) 10012014 - 09302015 Power Rates Annual Revenue Requirement Rate Schedule Power Revenue Requirement 70,091,227 CV-F13...

  5. 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...

  6. 2010FirmRateAdj

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

    2015 Firm Power Rates & Rate Schedules The Pick-Sloan Missouri Basin Program--Eastern Division: Firm Electric Service Pick Sloan Missouri River -Eastern Division Rates Effective...

  7. 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...

  8. BCP Annual Rate Process

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

    2015 BCP Annual Rate Process (FY 2016 Base Charge & Rate) Informal Process Rate Activity Schedule (doc) Informal Customer Meeting Thursday March 11, 2015 at 10:30 A.M. Conf Rms 3&4...

  9. 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]

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

    2002-01-01T23:59:59.000Z

    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...

  10. Fault-Aware, Utility-Based Job Scheduling on Blue Gene/P Systems

    E-Print Network [OSTI]

    Lan, Zhiling

    for scheduling such as utilization rates and average response times have long been used to assess scheduler the balance between responsiveness and utilization rate on a dynamic basis. Further, we have developed a fault

  11. 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:...

  12. Dedicated heterogeneous node scheduling including backfill scheduling

    DOE Patents [OSTI]

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

    2006-07-25T23:59:59.000Z

    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.

  13. Reviewing your schedule in Banner

    E-Print Network [OSTI]

    skorty

    2008-07-28T23:59:59.000Z

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

  14. Interactive dynamic aircraft scheduling

    E-Print Network [OSTI]

    Deckwitz, Thomas Anthony

    1984-01-01T23:59:59.000Z

    Introducing recent advances in computer technology to improve aircraft scheduling is investigated. Incorporating interactive graphics, modern database manipulation techniques, and decision support algorithms, the computer ...

  15. Wholesale Power Rate Schedules | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2, 2015Visiting Strong, Smart,Department ofWelcomeWhatWhite| Program

  16. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015ofDepartment of EnergyThe U.S. DepartmentEnergy WASHINGTON, DCOctober 1,

  17. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032) -Less isNFebruaryOctober 2, 2014 2014 U.S.10 NERSC's4 Tue,4444

  18. Preemptive scheduling with position costs

    E-Print Network [OSTI]

    In most scheduling models presented in the literature [3, 10], the cost for ... Preemptive scheduling in order to minimize the total position costs also stems.

  19. Symmetry in Scheduling Problems

    E-Print Network [OSTI]

    2010-11-16T23:59:59.000Z

    Nov 16, 2010 ... Using operating room and power generator scheduling problems ... suggested that a class of highly symmetric covering problems called Steiner Triple Systems ... The structure of symmetry present in these problems allow for.

  20. Energy Exchange Schedule

    Broader source: Energy.gov [DOE]

    The schedule for Energy Exchange is now available. Attendees will have the option of attending a variety of training sessions offered within 10 tracks during the times listed below. Session details...

  1. Western-UGP Transmission and Ancillary Services Rates Customer...

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

    changes noted in the following sections: Proposed Formula Rate for Scheduling, System Control and Dispatch Service, Proposed Rate for Regulation and Frequency Response Service,...

  2. APCF Construction Schedule | Advanced Photon Source

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

    APCF Past APCF Memoranda APCF, Construction Schedule This is a tentative schedule of the daily construction at APCF. For the preliminary two to three week look ahead schedule,...

  3. CE 4990 -Construction Scheduling Integrating Cost and Schedule

    E-Print Network [OSTI]

    Mukherjee, Amlan

    CE 4990 - Construction Scheduling Integrating Cost and Schedule March 16, 2012 Definitions The goal) = BCWP/BCWS · Cost Variance (CV) = BCWP - ACWP · Cost Performance Index (CPI) = BCWP/ACWP · EAC = ACWP is to develop integrated metrics for measuring cost and schedule performance. This note provides guidelines

  4. EDF Scheduling Identical Multiprocessor Systems

    E-Print Network [OSTI]

    Navet, Nicolas

    -plate Nuclear Reactor STOP !!! Year Power density (W/cm2) P V f: Clock speed limited to less than 4 GHz #12;June Systems Solid theory (starting from the 70s) Optimal schedulers Tight schedulability tests for different

  5. Integrated production and maintenance scheduling

    E-Print Network [OSTI]

    Whitaker, Laura Oakes

    1996-01-01T23:59:59.000Z

    to simultaneously solve the electronic assembly plannmg and scheduling problem. Khoshnevis er a/ (1994) show that the integration of the assembly planning and scheduling process is possible, and favorable results can be obtained. The system developed consists... of an initial planning model, which is a rule- based model, and a simultaneous assembly planner/scheduler module, which takes the assembly plans from the initial module and schedules work, given a set of constrained resources. Dagnio (1994) discusses research...

  6. Transforming PV Installations toward Dispatchable, Schedulable...

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

    Transforming PV Installations toward Dispatchable, Schedulable Energy Solutions Transforming PV Installations toward Dispatchable, Schedulable Energy Solutions Advanced Energy...

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

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

    RECORDS SCHEDULE 5: BUDGET PREPARATION, PRESENTATION, AND APPORTIONMENT ADMINISTRATIVE RECORDS SCHEDULE 23: RECORDS COMMON TO MOST OFFICES Administrative Management Records...

  8. Parallel Job Scheduling and Workloads

    E-Print Network [OSTI]

    Segall, Adrian

    Parallel Job Scheduling and Workloads Dror Feitelson Hebrew University #12;Parallel Jobs · A set · On multicores: probably more dynamic #12;MPP Parallel Job Scheduling · Each job is a rectangle in processorsXtime space · Given many jobs, we must schedule them to run on available processors · This is like packing

  9. MultipleChannel Multicast Scheduling for Scalable Bulkdata Transport \\Lambda

    E-Print Network [OSTI]

    Donahoo, Michael J.

    is the scheduling of data transmission across the multiple channels to accomodate asynchronous requests from clients) commensurate with its own rate capabilities. Variability in receiver rates can be accomodated, and the sender to accomodate asynchronous requests from clients. In this paper, we present and analyze a new multiple

  10. Introduction Coordinated Aggregation Resource Scheduling Reserve Scheduling Coordinated Aggregation of Distributed

    E-Print Network [OSTI]

    Resource Scheduling Reserve Scheduling Power Balance Available power g(t) - Bulk power B - Load Aggregation Resource Scheduling Reserve Scheduling Power Balance ... !" #$%&"'()*+" " ,*-*+.*-" " ,*/*)01" devil is in the details what variability? - variability in wind or rooftop solar? - what time scales

  11. Construction Schedule | Advanced Photon Source

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

    Construction Schedule Current Projects 27-ID and 35-ID APS Vibration Reporting Protocol Summary of Construction Equipment Tests and Activities Jan 2014 Past Projects APCF LOM438...

  12. Chemotherapy Operations Planning and Scheduling

    E-Print Network [OSTI]

    2010-02-13T23:59:59.000Z

    Feb 12, 2010 ... [16] studied data from an infusion clinic and found that appointment schedule that does not reflect the availability of resources is one of the ...

  13. Department of Mathematics: Courses Schedules

    E-Print Network [OSTI]

    Course Schedules. A complete list of times, room numbers, and instructors of classes offered by the Department of Mathematics. Summer 2015 · Summer 2015

  14. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch > TheNuclearHomeland andEffectsScanning/Transmission ElectronSchedule

  15. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch > TheNuclearHomeland andEffectsScanning/TransmissionScheduled System

  16. Weekly User 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch >Internship Program TheSiteEurekaWeekly User Schedule Print Requests for

  17. NERSC Holiday 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Saleshttp://www.fnal.gov/directorate/nalcal/nalcal02_07_05_files/nalcal.gif Directorate - Events -Exascale ScienceHoliday Schedule

  18. Online Energy Generation Scheduling for Microgrids with

    E-Print Network [OSTI]

    Zhang, Junshan

    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

  19. 2012 CAMD Users Meeting Schedule

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

    Hall, LSU AgCenter, LSU Campus, Baton Rouge, LA Schedule Downloadable Schedule(.pdf) Downloadable Poster List(.pdf) 07:30 - 08:00 a.m. - Registration 08:00 a.m. - 10:00 a.m. -...

  20. 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...

  1. DUAL EMPLOYMENT REVISED SCHEDULE REQUEST NAME: ____________________________________________________ EMPLID: ______________________________

    E-Print Network [OSTI]

    Bolding, M. Chad

    DUAL EMPLOYMENT REVISED SCHEDULE REQUEST NAME: _______________________ DUAL EMPLOYMENT DATES: ____________________ TO ______________________ TIMES: __________________ AM SCHEDULE. IN ACCORDANCE WITH THE CLEMSON UNIVERSITY DUAL EMPLOYMENT POLICY, ALL HOURS MISSED WHILE

  2. INSTRUCTIONS for COMPLETING SCHEDULE CARD WEB FORMS

    E-Print Network [OSTI]

    Kelly Beranger

    2012-03-22T23:59:59.000Z

    Mar 22, 2012 ... Instructions for completing schedule card web forms. The following students are required to complete schedule card web forms. • all returning ...

  3. Effective Scheduling for Coded Distributed Storage in Wireless Sensor Networks

    E-Print Network [OSTI]

    Boucherie, Richard J.

    Effective Scheduling for Coded Distributed Storage in Wireless Sensor Networks Jan-Willem van Bloem in a decentralized fashion for any rate below this maximum. 1 Introduction In wireless sensor networks, reliable data storage is essential for coping with fail- ures. Wireless sensor networks consist of cooperating devices

  4. Hierarchical production scheduling in the process industry

    E-Print Network [OSTI]

    Hierarchical production scheduling in the process industry Anna Lindholm Nils-Petter Nytz are handled. The activities are are denoted production scheduling (PS) and detailed production scheduling (DPS. The focus is on production scheduling for chemical process industries with continuous production

  5. Optimal Preventive Maintenance Scheduling in Semiconductor Manufacturing

    E-Print Network [OSTI]

    Marcus, Steven I.

    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

  6. On-line Service Scheduling?

    E-Print Network [OSTI]

    2008-04-18T23:59:59.000Z

    §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 (

  7. Energy Efficiency Exchange 2015 Schedule

    Broader source: Energy.gov [DOE]

    The schedule for Energy Efficiency Exchange 2015 is now available. Attendees will have the option of attending a variety of training sessions offered within 10 tracks during the times listed below....

  8. TIME SCHEDULE WINTER QUARTER 1970

    E-Print Network [OSTI]

    Kaminsky, Werner

    MASTER CON TIME SCHEDULE WINTER QUARTER 1970 ADVANCE REGISTRATION NOVEMBER 3-21 IN, please leave it or pass it along so that other students may use it. #12;Winter Quarter 1970. Examination

  9. Salt Lake City Area Integrated Projects Power Sales Rate History

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

    Salt Lake City Area Integrated Projects Power Sales Rate History Updated: 9112013 Rate Schedule Effective Dates Energy (MillskWh) Capacity (kW-mo.) Combined (MillskWh) 1...

  10. Empirical Tracking and Analysis of the Dynamics in Activity Scheduling and Schedule Execution

    E-Print Network [OSTI]

    Zhou, Jianyu Jack

    2006-01-01T23:59:59.000Z

    Comparison of Schedule Horizon for Activities with Different Participants Table 21 ANOVA of Schedule Horizons by Gender 145 Table 22 K-Means

  11. Descriptions of Task Order Schedules and Placement of Pricing...

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

    10112007 ATTACHMENT J-5 DESCRIPTIONS OF TASK ORDER SCHEDULES AND PLACEMENT OF PRICING INFORMATION J-5.1 DESCRIPTIONS OF TASK ORDER (TO) SCHEDULES (SCHEDULE TEMPLATES...

  12. 2007 Wholesale Power Rate Case Final Proposal : Wholesale Power Rate Development Study.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2006-07-01T23:59:59.000Z

    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.

  13. Rates & Repayment

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

    Environmental Review-NEPA Financial Data Operations Planning & Projects Power Marketing Rates Rate Adjustments Transmission Ancillary Services Rates WAPA-137 Rate Order Rates and...

  14. Scheduling with alternatives: a link between process planning and scheduling

    E-Print Network [OSTI]

    ®ned estimate of the eective due date (slack) for each job at each machine; and (b) in the current simulation iteration, jobs are dispatched at each machine in order of increasing slack. Iterations of the scheduling is a commitment of resources. Most process planning systems assume an in®nite capacity of resources on the shop

  15. Occupancy Simulation Schedule Appendix C -Occupancy Simulation Schedule

    E-Print Network [OSTI]

    Figure C.1 and Figure C.2 present the load simulation and occupancy schedules for the lab homes highly adults. The per-person sensible heat generation and occupancy profiles were mapped from previous studies lamp to simulate human occupancy; occupancy and lighting loads in other areas of the home were

  16. Scheduling a Metacomputer With Uncooperative Sub-schedulers ?

    E-Print Network [OSTI]

    Feitelson, Dror

    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

  17. Energy Efficient Scheduling for Real-Time Systems

    E-Print Network [OSTI]

    Gupta, Nikhil

    2012-02-14T23:59:59.000Z

    The goal of this dissertation is to extend the state of the art in real-time scheduling algorithms to achieve energy efficiency. Currently, Pfair scheduling is one of the few scheduling frameworks which can optimally schedule a periodic real...

  18. Optimal scheduling of fighter aircraft maintenance

    E-Print Network [OSTI]

    Cho, Philip Y

    2011-01-01T23:59:59.000Z

    The effective scheduling of fighter aircraft maintenance in the Air Force is crucial to overall mission accomplishment. An effective maintenance scheduling policy maximizes the use of maintenance resources and aircraft ...

  19. Human aspects of scheduling : a case study

    E-Print Network [OSTI]

    Boasson, Yishai, 1973-

    2006-01-01T23:59:59.000Z

    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, ...

  20. Sensitivity Analysis of List Scheduling Heuristics

    E-Print Network [OSTI]

    Kolen, A.W. J.

    When jobs have to be processed on a set of identical parallel machines so as to minimize the makespan of the schedule, list scheduling rules form a popular class of heuristics. The order in which jobs appear on the list ...

  1. Distributed scheduling for efficient HVAC precooling operations

    E-Print Network [OSTI]

    Yang, Su

    2014-01-01T23:59:59.000Z

    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

  2. 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,...

  3. Scheduling with Fixed Maintenance, Shared Resources and ...

    E-Print Network [OSTI]

    2015-02-07T23:59:59.000Z

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

  4. Scheduling Flexible Maintenance Activities subject to Job ...

    E-Print Network [OSTI]

    2010-04-14T23:59:59.000Z

    Apr 3, 2010 ... models by allowing a flexible maintenance schedule. Specifically, under restrictions determined by the respective setting, maintenance ...

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

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

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

  6. Optimization of Injection Scheduling in

    E-Print Network [OSTI]

    Stanford University

    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

  7. CBR-1-H Wholesale Power Rate Schedule | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJune 2,The BigSidingState6 (2-91)A2015 Peer Review |PeerOnes |Big

  8. CC-1-I Wholesale Power Rate Schedule | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJune 2,The BigSidingState6 (2-91)A2015 Peer Review |PeerOnes

  9. CEK-1-H Wholesale Power Rate Schedule | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJune 2,The BigSidingState6 (2-91)A2015 Peer ReviewCCSCEAJune

  10. CK-1-H Wholesale Power Rate Schedule | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJune 2,The BigSidingState6Report, March 2013CIGNLFeatured

  11. CM-1-H Wholesale Power Rate Schedule | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJune 2,The BigSidingState6Report, March003MEAM, MDEA, and SMEPA

  12. CSI-1-H Wholesale Power Rate Schedule | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJune 2,TheEnergy December 14, 2007Workshop TranscriptSouthern

  13. VA-1-B Wholesale Power Rate Schedule | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group current C3EDepartment ofPrivilegesUnauthorized Access | Department2 1 2 1

  14. VA-2-B Wholesale Power Rate Schedule | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group current C3EDepartment ofPrivilegesUnauthorized Access | Department2 1 2

  15. VA-3-B Wholesale Power Rate Schedule | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group current C3EDepartment ofPrivilegesUnauthorized Access | Department2 1 2to

  16. VA-4-B Wholesale Power Rate Schedule | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group current C3EDepartment ofPrivilegesUnauthorized Access | Department2 1

  17. VANC-1 Wholesale Power Rate Schedule | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group current C3EDepartment ofPrivilegesUnauthorized Access | Department2 16 I

  18. Duke-1-E Wholesale Power Rate Schedule | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently20,000 Russian NuclearandJunetrack graphics4Dimitri Kusnezov -Purpose(FY)TheAWhat

  19. Duke-2-E Wholesale Power Rate Schedule | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently20,000 Russian NuclearandJunetrack graphics4Dimitri Kusnezov -Purpose(FY)TheAWhatCentral

  20. 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 onYouTube YouTube Note: Since the YouTube platformBuilding Removal Ongoing atGreenhouse GasesRespond1CALIFORNIAReview

  1. CTV-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 onYouTube YouTube Note: Since the YouTube platformBuilding RemovalCSS Letter - Final.tif CSS Letter - Final.tif CSS

  2. CTVI-1-A 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 onYouTube YouTube Note: Since the YouTube platformBuilding RemovalCSS Letter - Final.tif CSS Letter - Final.tif

  3. JW-1-J 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 DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetter Report: I11IG002RTC3 | 12/1/2014 |Is5:It'sA P21-J

  4. JW-2-F 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 DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetter Report: I11IG002RTC3 | 12/1/2014 |Is5:It'sA P21-J2-F

  5. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2 OPAM615_CostNSAR - TProcuring SolarNo. 195 -Pueblo de San Ildefonso Pueblo1-A

  6. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2 OPAM615_CostNSAR - TProcuring SolarNo. 195 -Pueblo de San Ildefonso Pueblo1-A2

  7. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2 OPAM615_CostNSAR -Department of Energyas of 7/16/2015

  8. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2 OPAM615_CostNSAR -Department of Energyasto theandRenewableReno

  9. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2 OPAM615_CostNSARDevelopmental Assignment |SHEPHERDSEnergyDepartment of1-E

  10. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2 OPAM615_CostNSARDevelopmental Assignment |SHEPHERDSEnergyDepartment

  11. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2 OPAM615_CostNSARDevelopmental Assignment |SHEPHERDSEnergyDepartment3-E

  12. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2 OPAM615_CostNSARDevelopmental Assignment |SHEPHERDSEnergyDepartment3-E4-E

  13. AP-1-B Wholesale Power Rate Schedule | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015ofDepartmentDepartment of2 of 5) ALARA TrainingANDREW W. TUNNELL t: (205)Thisand

  14. AP-2-B Wholesale Power Rate Schedule | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015ofDepartmentDepartment of2 of 5) ALARA TrainingANDREW W. TUNNELL t:

  15. AP-3-B Wholesale Power Rate Schedule | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015ofDepartmentDepartment of2 of 5) ALARA TrainingANDREW W. TUNNELL t:to whom power

  16. AP-4-B Wholesale Power Rate Schedule | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015ofDepartmentDepartment of2 of 5) ALARA TrainingANDREW W. TUNNELL t:to whom

  17. Figure 3. Production Schedules at Two Development Rates

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.Gas Proved Reserves, WetGasCubic3 PC's and3.

  18. ALA-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: Alternative Fuels DataEnergyDepartment of EnergyEnergyProposed -Systems |

  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 onYouTube YouTube Note: Since the.pdfBreaking ofOil & Gas »ofMarketing |Prepare

  20. Regulation-1 Wholesale Power Rate Schedule | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014, an OHASeptember 2010InJanuary 29,3, 2012Visitors Can Register

  1. Replacement-2-A Wholesale Power Rate Schedule | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014, an OHASeptemberAssessments | Department of Energy 1.Department

  2. Replacement-3 Wholesale Power Rate Schedule | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014, an OHASeptemberAssessments | Department of Energy

  3. SOCO-1-E Wholesale Power Rate Schedule | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014, anEnergyDepartment ofNoneORDERNational WindSNR Denton US LLP 1301

  4. Santee-1-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 onYouTube YouTube Note: Since the.pdfBreakingMay 2015 <Department ofDepartment ofEnergy Summary of Reported1-E

  5. Santee-2-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 onYouTube YouTube Note: Since the.pdfBreakingMay 2015 <Department ofDepartment ofEnergy Summary of Reported1-E2-E

  6. Santee-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 onYouTube YouTube Note: Since the.pdfBreakingMay 2015 <Department ofDepartment ofEnergy Summary of

  7. Santee-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 onYouTube YouTube Note: Since the.pdfBreakingMay 2015 <Department ofDepartment ofEnergy Summary of4-E Wholesale

  8. 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 DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetterEconomyDr. ErnestMID-CAREER RETIREMENTMISS-1-N Wholesale

  9. CTV-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 DataDepartment of Energy Your Density Isn't Your Destiny: Theof Energy Change Request | Domain NameEnergy CTTRANSIT Operates

  10. Duke-1-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 onYouTube YouTube Note: Since the YouTube|6721 Federal Register / Vol. 73, No. 219Does

  11. NC-1-B Wholesale Power Rate Schedule | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy ChinaofSchaeferApril 1,(EAC)TABLEChallenges are Associated withandGasVirginia

  12. Duke-3-E Wholesale Power Rate Schedule | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015 Business42.1Energy | DepartmenttheFebruarySunShotSUMMARYis from a BuildingNone

  13. Duke-4-E Wholesale Power Rate Schedule | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015 Business42.1Energy | DepartmenttheFebruarySunShotSUMMARYis from a

  14. Pump-2 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 DataDepartment of Energy Your Density Isn'tOrigin of ContaminationHubs+ ReportEnergyProviding GridCommercialPublications022 *PumpPump-2

  15. Routine environmental monitoring schedule, calendar year 1995

    SciTech Connect (OSTI)

    Schmidt, J.W.; Markes, B.M.; McKinney, S.M.

    1994-12-01T23:59:59.000Z

    This document provides Bechtel Hanford, Inc. (BHI) and Westinghouse Hanford Company (WHC) a schedule of monitoring and sampling routines for the Operational Environmental Monitoring (OEM) program during calendar year (CY) 1995. Every attempt will be made to consistently follow this schedule; any deviation from this schedule will be documented by an internal memorandum (DSI) explaining the reason for the deviation. The DSI will be issued by the scheduled performing organization and directed to Near-Field Monitoring. The survey frequencies for particular sites are determined by the technical judgment of Near-Field Monitoring and may depend on the site history, radiological status, use and general conditions. Additional surveys may be requested at irregular frequencies if conditions warrant. All radioactive wastes sites are scheduled to be surveyed at least annually. Any newly discovered wastes sites not documented by this schedule will be included in the revised schedule for CY 1995.

  16. Spent nuclear fuel project integrated schedule plan

    SciTech Connect (OSTI)

    Squires, K.G.

    1995-03-06T23:59:59.000Z

    The Spent Nuclear Fuel Integrated Schedule Plan establishes the organizational responsibilities, rules for developing, maintain and status of the SNF integrated schedule, and an implementation plan for the integrated schedule. The mission of the SNFP on the Hanford site is to provide safe, economic, environmentally sound management of Hanford SNF in a manner which stages it to final disposition. This particularly involves K Basin fuel.

  17. Algorithms for Temperature-Aware Task Scheduling in Microprocessor Systems

    E-Print Network [OSTI]

    Chrobak, Marek; Hurand, Mathilde; Robert, Julien

    2008-01-01T23:59:59.000Z

    We study scheduling problems motivated by recently developed techniques for microprocessor thermal management at the operating systems level. The general scenario can be described as follows. The microprocessor's temperature is controlled by the hardware thermal management system that continuously monitors the chip temperature and automatically reduces the processor's speed as soon as the thermal threshold is exceeded. Some tasks are more CPU-intensive than other and thus generate more heat during execution. The cooling system operates non-stop, reducing (at an exponential rate) the deviation of the processor's temperature from the ambient temperature. As a result, the processor's temperature, and thus the performance as well, depends on the order of the task execution. Given a variety of possible underlying architectures, models for cooling and for hardware thermal management, as well as types of tasks, this scenario gives rise to a plethora of interesting and never studied scheduling problems. We focus on s...

  18. Tool for Generating Realistic Residential Hot Water Event Schedules: Preprint

    SciTech Connect (OSTI)

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

    2010-08-01T23:59:59.000Z

    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.

  19. Single machine stochastic appointment sequencing and scheduling

    E-Print Network [OSTI]

    Administrator

    2010-10-22T23:59:59.000Z

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

  20. 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...

  1. Scheduling with Fixed Maintenance, Shared Resources and ...

    E-Print Network [OSTI]

    Christina N Burt

    2014-11-30T23:59:59.000Z

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

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

    Energy Savers [EERE]

    SCHEDULE 5: BUDGET PREPARATION, PRESENTATION, AND APPORTIONMENT Budget and apportionment records include the various files accumulated in the course of formulating the budget for...

  3. Scheduling Workover Rigs for Onshore Oil Production

    E-Print Network [OSTI]

    2003-06-23T23:59:59.000Z

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

  4. Schedule

    E-Print Network [OSTI]

    2005-03-13T23:59:59.000Z

    Grothendieck-Bertini, Fulton-Hansen connectedness theorem. (16) (EM) Simplicial complexes, Stanley-Reisner rings, polytopes, upper bound theorem.

  5. 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 ...

  6. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementingnpitcheResearch Briefs TheSanketPlease contact the beamline staff to

  7. Schedule optimization study implementation plan

    SciTech Connect (OSTI)

    Not Available

    1993-11-01T23:59:59.000Z

    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.

  8. Time and event triggered communication scheduling for automotive applications

    E-Print Network [OSTI]

    Johansson, Roger

    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

  9. Rappels : piles et tas Ordonnancement (scheduling)

    E-Print Network [OSTI]

    Poinsot, Laurent

    Rappels : piles et tas Ordonnancement (scheduling) Chap. X : Ordonnancement Laurent Poinsot UMR : Ordonnancement #12;Rappels : piles et tas Ordonnancement (scheduling) Le compilateur sépare les différents objets apparaissant dans un programme dans des zones mémoires (code, données, librairies, pile). Précisons cela par un

  10. Online Deadline Scheduling with Bounded Energy Efficiency

    E-Print Network [OSTI]

    Wong, Prudence W.H.

    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

  11. STANFORD LINEAR ACCELERATOR CENTER RECORDS CONTROL SCHEDULE

    E-Print Network [OSTI]

    Wechsler, Risa H.

    to project justification, staffing, initiation, or execution; project management plans, records managementSTANFORD LINEAR ACCELERATOR CENTER PEP-II RECORDS CONTROL SCHEDULE SCOPE: This schedule covers records of the PEP-II project, regardless of format (paper, electronic, magnetic, photographic, etc

  12. SCHEDULING INTERVIEWS FOR A JOB FAIR

    E-Print Network [OSTI]

    Bartholdi III, John J.

    SCHEDULING INTERVIEWS FOR A JOB FAIR John J. Bartholdi, III Kevin L. McCroan April 4, 1989; revised April 3, 2003 Abstract We describe the design and use of a program to schedule job interviews for law firms and students at a job fair. It has been used to manage the Southeastern Public Interest Job

  13. Routine Operational Environmental Monitoring schedule, CY 1994

    SciTech Connect (OSTI)

    Schmidt, J.W.

    1993-12-01T23:59:59.000Z

    This document provides Health Physics (HP) a schedule in accordance with the Environmental Compliance Manual, WHC-CM-7-5, of monitoring and sampling routines for the Operational Environmental Monitoring (OEM) Program during calendar year (CY) 1994. The survey frequencies for particular sites are determined by the technical judgment of EES and may depend on the site history, radiological status, use, and general conditions. Additional surveys may be requested at irregular frequencies if conditions warrant. All radioactive waste sites are scheduled to be surveyed annually at a minimum. Any newly discovered waste sites not documented by this schedule will be included in the revised schedule for CY 1995. This schedule does not discuss the manpower needs nor does it list the monitoring equipment to be used in completing specific routines.

  14. Hopper scheduled maintenance tomorrow (Sept 19) and /project...

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

    scheduled maintenance tomorrow (Sept 19) and project outage Hopper scheduled maintenance tomorrow (Sept 19) and project outage September 18, 2012 by Helen He (0 Comments) There...

  15. 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...

  16. 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...

  17. 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...

  18. Environmental surveillance master sampling schedule

    SciTech Connect (OSTI)

    Bisping, L E

    1992-01-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Wu, Jianjia

    2007-09-17T23:59:59.000Z

    schedulability bounds for arbitrary static priority schedulers, weighted round robin schedulers, and timed token ring schedulers. Existing utilization bounds for these schedulers are obtained from the closed-form formula by direct assignment of proper parameters...

  20. NRC comprehensive records disposition schedule. Revision 3

    SciTech Connect (OSTI)

    NONE

    1998-02-01T23:59:59.000Z

    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).

  1. Going to Work: Understanding Work Schedules

    E-Print Network [OSTI]

    Hoffman, Rosemarie

    2000-07-20T23:59:59.000Z

    have to work: John, Joyce, Jessie and Mary are full- time employees, and Jan is part-time. Each employee is required to report to This is an example of a work schedule that tells you when and what you have to do: It is best to arrive at least 5 to 15... John, Jessie Joyce Mary Wednesday Joyce, Mary John Jan Thursday Jessie, Joyce Jan Mary Friday Jan, Jessie Joyce John Saturday Mary, Joyce John Jessie Please answer the following questions about the work schedule: 1. What week is this work schedule...

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

    E-Print Network [OSTI]

    Bahk, Saewoong

    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

  3. WEBVIEWER INSTRUCTION PACKET Facilities Planning and Scheduling

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    -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

  4. 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...

  5. Scheduling and synchronization for multicore concurrency platforms

    E-Print Network [OSTI]

    Agrawal, Kunal

    2009-01-01T23:59:59.000Z

    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 ...

  6. Online optimization in routing and scheduling

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

    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 ...

  7. Thesis / Dissertation Defense Announcement and Scheduling Form

    E-Print Network [OSTI]

    Hutcheon, James M.

    Thesis / Dissertation Defense Announcement and Scheduling Form Completed form must be received of the following: Thesis Defense Dissertation Defense Public Seminar Only Thesis/Dissertation Associate Dean Only Thesis/Dissertation/Seminar location and time listed above is: Confirmed

  8. Dynamic Scheduling of Flexible Manufacturing Systems

    E-Print Network [OSTI]

    Reddy, K. Rama Bhupal

    To date, group scheduling research has primarily focused on examining the performance of different group heuristics under various experimental conditions. However, the dynamic selection of group heuristics has not received ...

  9. Production Scheduling with Energy Efficiency Constraints

    E-Print Network [OSTI]

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

    2007-01-01T23:59:59.000Z

    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...

  10. APS Long Range Schedule FY1996

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

    Long Range Commissioning Schedule for FY1996 Date First Shift 0:00-8:00 Second Shift 8:00-16:00 Third Shift 16:00-24:00 31596 SR Studies 1-ID-A Shielding Verification SR Studies...

  11. Monitoring Building Systems for Schedule Compliance

    SciTech Connect (OSTI)

    Jensen, Andrew M.; Belew, Shan T.

    2013-02-19T23:59:59.000Z

    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.

  12. # Team Name Captain REGULAR SEASON SCHEDULE

    E-Print Network [OSTI]

    Sheridan, Scott

    # Team Name Captain 1 2 3 4 5 REGULAR SEASON SCHEDULE Sprt Score Team vs. Team Score Sprt Sprt Score Team vs. Team Score Sprt 1 vs. 2 3 vs. 4 2 vs. 3 4 vs. 5 1 vs. 3 2 vs. 5 3 vs. 5 1 vs. 4 2 vs. 4 1 vs. 5 # Team Name Captain 1 2 3 4 REGULAR SEASON SCHEDULE Sprt Score Team vs. Team Score Sprt Sprt

  13. Texas A&M scheduling algorithm

    E-Print Network [OSTI]

    Payne, Eugene Edgar

    1966-01-01T23:59:59.000Z

    TEXAS A6 M SCHEDULING ALGORITHM A Thesis By EUGENE EDGAR PAYNE Submitted to the Graduate College of the Texas AF M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE January 1966 Major Subject...: Computer Science TEXAS A&M SCHEDULING ALGORITHM A Thesis By EUGENE EDGAR PAYNE Ch trman of Committee) (Head of Department) (M ember) (M ember) January 1966 ACKNOWLEDGMENTS The author would like to express his indebtedness to Mr. James M. Nash...

  14. Advanced Reactors Transition Program Resource Loaded Schedule

    SciTech Connect (OSTI)

    BOWEN, W.W.

    1999-11-08T23:59:59.000Z

    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.

  15. Real Options for Project Schedules (ROPS)

    E-Print Network [OSTI]

    Ingber, Lester

    2007-01-01T23:59:59.000Z

    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.

  16. Advanced Reactors Transition Program Resource Loaded Schedule

    SciTech Connect (OSTI)

    GANTT, D.A.

    2000-01-12T23:59:59.000Z

    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 (FETF) 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 revision reflects the 19 Oct 1999 baseline.

  17. Routine environmental monitoring schedule, calendar year 1998

    SciTech Connect (OSTI)

    McKinney, S.M.

    1997-11-24T23:59:59.000Z

    This document provides the Environmental Restorations Contractor (ERC) and the Project Hanford Management Contractor (PHMC) a schedule in accordance with the HNF-PRO-454, Inactive Waste Sites` HNF-PRO-455, Solid Waste 3 Management4 and BHI-EE-02, Environmental Requirements, of monitoring and sampling, routines for the near-facility environmental monitoring program during calendar year (CY) 1998. Every attempt will be made to consistently follow this schedule; any deviation from this schedule will be documented by an internal memorandum (DSI) explaining the reason for the deviation. The DSI will be issued by the scheduled performing organization and directed to Environmental Monitoring and Investigations. The survey frequencies for particular sites are determined by the technical judgment of Environmental Monitoring and investigations and may depend on the site history, radiological status, use, and general conditions. Additional surveys may be requested at irregular frequencies if conditions warrant. All radioactive wastes sites are scheduled to be surveyed at least annually. Any newly discovered wastes sites not documented by this schedule will be included in the revised schedule for CY 1999. The outside perimeter road surveys of 200 East and West Area and the rail survey from the 300 Area to Columbia Center will be performed in the year 2000 per agreement with Department of Energy, Richland Field Office. This schedule does not discuss staffing needs, nor does it list the monitoring equipment to be used in completing specific routines. Personnel performing routines to meet this schedule shall communicate any need for 1332 assistance in completing these routines to Radiological Control management and Environmental Monitoring and Investigations. After each routine survey is completed, a copy of the survey record, maps, and data sheets will be forwarded to Environmental Monitoring and Investigations. These routine surveys will not be considered complete until this documentation is received. At the end of each month, the ERC and PHMC radiological control organizations shall forward a copy of the Routine Signoff Sheet and a DSI validating the completion of the scheduled routine surveys for that month.

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

    E-Print Network [OSTI]

    Cakoni, Fioralba

    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

  19. 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.

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

    E-Print Network [OSTI]

    Kai, Ma; Guoqiang, Hu; Spanos, Costas

    2013-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Kai, Ma; Guoqiang, Hu; Spanos, Costas

    2013-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

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

    2014-01-01T23:59:59.000Z

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

  3. Adaptive Scheduling Algorithms for Planet Searches

    E-Print Network [OSTI]

    Eric B. Ford

    2007-12-17T23:59:59.000Z

    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.

  4. Fault-tolerant dynamic task graph scheduling

    SciTech Connect (OSTI)

    Kurt, Mehmet C.; Krishnamoorthy, Sriram; Agrawal, Kunal; Agrawal, Gagan

    2014-11-16T23:59:59.000Z

    In this paper, we present an approach to fault tolerant execution of dynamic task graphs scheduled using work stealing. In particular, we focus on selective and localized recovery of tasks in the presence of soft faults. We elicit from the user the basic task graph structure in terms of successor and predecessor relationships. The work stealing-based algorithm to schedule such a task graph is augmented to enable recovery when the data and meta-data associated with a task get corrupted. We use this redundancy, and the knowledge of the task graph structure, to selectively recover from faults with low space and time overheads. We show that the fault tolerant design retains the essential properties of the underlying work stealing-based task scheduling algorithm, and that the fault tolerant execution is asymptotically optimal when task re-execution is taken into account. Experimental evaluation demonstrates the low cost of recovery under various fault scenarios.

  5. Static scheduling of synchronous data flow programs for digital signal processing

    SciTech Connect (OSTI)

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

    1987-01-01T23:59:59.000Z

    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.

  6. Maintenance scheduling for modular systems-models and algorithms

    E-Print Network [OSTI]

    Zarybnisky, Eric J. (Eric Jack), 1979-

    2011-01-01T23:59:59.000Z

    Maintenance scheduling is an integral part of many complex systems. For instance, without effective maintenance scheduling, the combined effects of preventative and corrective maintenance can have severe impacts on the ...

  7. Instruction scheduling optimizations for energy efficient VLIW processors 

    E-Print Network [OSTI]

    Porpodas, Vasileios

    2013-11-28T23:59:59.000Z

    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. ...

  8. 27-ID and 35-ID Construction Schedule | Advanced Photon Source

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

    8 Pentagon F 2 week look-ahead (pdf) Long Range Schedule (pdf) LOM 438 Pentagon F, Construction Schedule Dates 416 to 607 Planned construction activities, please refer to the...

  9. Incremental temporal reasoning in job shop scheduling repair

    E-Print Network [OSTI]

    Huang, Y.

    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 ...

  10. JLab Three-Year Schedule: Message from Hugh Montgomery | Jefferson...

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

    Dear All, Today, we posted a new three-year view of the laboratory accelerator (CEBAF) schedule. Like all long-range schedules, there are uncertainties as to whether it...

  11. Evaluating the robustness of crew schedules for rail transit systems

    E-Print Network [OSTI]

    Ravichandran, Harshavardhan

    2013-01-01T23:59:59.000Z

    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 ...

  12. Study of distributed Fair Scheduling in wireless local area networks 

    E-Print Network [OSTI]

    Gupta, Seema

    2000-01-01T23:59:59.000Z

    A Fair Scheduling policy is required to support differentiated QoS requirements of contending flows in a wireless channel. This thesis presents a study of the Distributed Fair Scheduling (DFS) algorithm proposed for wireless ...

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

    E-Print Network [OSTI]

    Nagi, Rakesh

    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

  14. Optimization models for improving periodic maintenance schedules by utilizing opportunities

    E-Print Network [OSTI]

    Patriksson, Michael

    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

  15. Scope for industrial applications of production scheduling models and

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    ERP Level 4 MES / CPM Production & Control Level 3 Control systems/sensors (DCS, PLC, SCADA, BMS management, planning, scheduling, quality control, recipe management, setpoint definition, integrationScope for industrial applications of production scheduling models and solution methods Iiro

  16. Emailed Comments of Elizabeth Chimento RE: Pepco Scheduled Line...

    Office of Environmental Management (EM)

    Emailed Comments of Elizabeth Chimento RE: Pepco Scheduled Line Repair Dec. 1-20, 2006 Emailed Comments of Elizabeth Chimento RE: Pepco Scheduled Line Repair Dec. 1-20, 2006 Docket...

  17. Airline fleet assignment and schedule design : integrated models and algorithms

    E-Print Network [OSTI]

    Lohatepanont, Manoj, 1974-

    2002-01-01T23:59:59.000Z

    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, ...

  18. Gain-scheduled nonlinear control of u-tube steam generators at low powers

    E-Print Network [OSTI]

    Menon, Sunil Kumar

    1990-01-01T23:59:59.000Z

    Pressure, Pa. GW* avera. e recirculation flow rate, k /s. Disturbance Descri tion Hot-leg temperature, 'F. Primary mass flow rate, kg/s. Steam flow rate, kg/s. Feedwater temperature, 'F. Primary pressure. Pa. * Steam Dome-Downcomer ~ Geometrically.../LTR Compensstors. . . . . . . . . 5 cj 60 62 66 70 75 LINEAR COMPENSATOR DESIGN AND GAIN-SCHEDULING . . 76 V. 1 Introduction 76 CHAPTER Pa. ge V. 2 Design of the LQG/LTR Compensators for the UTSG V. 3 Analysis of the Linear Compensators . . V. 4 Gain...

  19. Delay-aware Scheduling in Wireless Coding Networks: To Wait or Not to Wait

    E-Print Network [OSTI]

    Ramasamy, Solairaja

    2012-02-14T23:59:59.000Z

    for packet schedules f1,0,1,1,0g and f0; 0; 1; 0; 1g. : : 37 10 Tradeo between delay and transmissions in a single hyperlink with Bernoulli arrival rates (p1; p2) = (0:5; 0:5) : : : : : : : : : : : : : 42 11 Comparison of the minimum average cost (per... packet) in a single hyperlink with Bernoulli arrival rates (p1; p2) = (0:5; 0:5) : : : : : : : 43 12 Tradeo between delay and transmissions in a single hyperlink with Bernoulli arrival rates (p1; p2) = (0:9; 0:3) : : : : : : : : : : : : : 43 13...

  20. Wireless Scheduling with Power Control Magnus M. Halldorsson

    E-Print Network [OSTI]

    Halldórsson, Magnús M.

    Wireless Scheduling with Power Control Magn´us M. Halld´orsson September 27, 2010 Abstract We the time for satisfying all requests. We study here the combined problem of scheduling and power control on the power control version, where we also choose the power settings for the links. The scheduling problem

  1. Save & Schedule Reports for Delivery SavePromptsHaveDelivered

    E-Print Network [OSTI]

    Shull, Kenneth R.

    Save & Schedule Reports for Delivery Cognos Reporting Job Aid SavePromptsHaveDelivered Last Updated 8/31/2011 mac © 2011 Northwestern University FMS113 Saving and Scheduling Reports Page 1 of 7 This job aid documents a process you can follow when you want to save prompts and schedule automatic email

  2. Inversed Temperature Dependence Aware Clock Skew Scheduling for Sequential

    E-Print Network [OSTI]

    Kuzmanovic, Aleksandar

    Inversed Temperature Dependence Aware Clock Skew Scheduling for Sequential Circuits Jieyi Long}@eecs.northwestern.edu Abstract -- We present an Inversed Temperature Dependence (ITD) aware clock skew scheduling framework, we propose an algorithm for synergistic temperature aware clock skew scheduling and dual

  3. Energy-aware scheduling under reliability and makespan constraints

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    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

  4. Energy-aware scheduling: models and complexity results

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    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

  5. Job Scheduling Scheme for Pure Space Sharing among Rigid Jobs

    E-Print Network [OSTI]

    Feitelson, Dror

    Job Scheduling Scheme for Pure Space Sharing among Rigid Jobs Kento Aida1, Hironori Kasahara2. This paper evaluates the performance of job scheduling sche- mes for pure space sharing among rigid jobs. Conventional job scheduling schemes for the pure space sharing among rigid jobs have been achieved by First

  6. Eect of Job Size Characteristics on Job Scheduling Performance

    E-Print Network [OSTI]

    Feitelson, Dror

    Eect of Job Size Characteristics on Job Scheduling Performance Kento Aida Department an ap- propriate scheduling algorithm that schedules mul- tiple jobs on the computer system eciently. The goal of the work presented in this paper is to inves- tigate mechanisms how job size characteristics

  7. Energy Conscious Scheduling Johnatan E. Pecero

    E-Print Network [OSTI]

    Lefèvre, Laurent

    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

  8. SCHEDULING CEMENT PLANTS WITH ENERGY CONSTRAINTS

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    SCHEDULING CEMENT PLANTS WITH ENERGY CONSTRAINTS Pedro M. Castro Ignacio E. Grossmann Iiro K Meeting 4 #12;5 ABB PROJECT #12;INTRODUCTION Cement producers currently under pressure to produce Contracts agreed between electricity supplier and cement plants (planning level) Energy cost [$/k

  9. Modeling Resources for Activity Coordination and Scheduling

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    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

  10. Modeling Resources for Activity Coordination and Scheduling

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    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

  11. SEMINAR SCHEDULE Friday, January 24, 2014

    E-Print Network [OSTI]

    Hayden, Nancy J.

    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

  12. 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

  13. robust passenger oriented airline scheduling - Optimization Online

    E-Print Network [OSTI]

    Luis

    2010-10-29T23:59:59.000Z

    have historically been separated and optimized in a sequential manner. ... objectives are passengers' satisfaction and operator costs. We try to .... a computerized schedule construction system that begins by generating demand using a ...... Environmental Engineering and the Engineering Systems, Massachusetts Institute of.

  14. Optimization of Logic Programs with Dynamic Scheduling

    E-Print Network [OSTI]

    Stuckey, Peter J.

    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

  15. ROBUSTNESS MEASURE FOR FUZZY MAINTENANCE ACTIVITIES SCHEDULE

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    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

  16. Dynamic Scheduling of Maintenance Activities Under Uncertainties

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    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

  17. Impact Schedule Building Interactive Digital Libraries

    E-Print Network [OSTI]

    New Ideas Impact Schedule Building Interactive Digital Libraries of Formal Algorithmic Knowledge Winter 2002 Elaborate conceptual basis for FDL Implement Prototype Formal Digital Library Add content in formal digital libraries § The project is testing these mechanisms and tools in a prototype formal

  18. Decentralized Grid Scheduling with Evolutionary Fuzzy Systems

    E-Print Network [OSTI]

    Feitelson, Dror

    - increasing demand for computing power and storage space. While well-established approaches such as the EGEEDecentralized Grid Scheduling with Evolutionary Fuzzy Systems Alexander F¨olling, Christian Grimme of finding workload exchange policies for decentralized Computational Grids using an Evo- lutionary Fuzzy

  19. Schedule Worksheet -Table of Contents Subject Description

    E-Print Network [OSTI]

    Pittendrigh, Barry

    Subject Description NUPH NUPH-Nuclear Pharmacy NUR NUR-Nursing OBHR OBHR-Orgnztnl Bhvr &Hum Resrce OLS OLS Description CLPH CLPH-Clinical Pharmacy CMCI CMCI-CIC Common Market CMPL CMPL-Comparative Literature CNIT CNIT Sci NS NS-Naval Science NUCL NUCL-Nuclear Engineering #12;Schedule Worksheet - Table of Contents

  20. Schedule Worksheet -Table of Contents Subject Description

    E-Print Network [OSTI]

    Ginzel, Matthew

    ;Schedule Worksheet - Table of Contents Subject Description NUPH NUPH-Nuclear Pharmacy NUR NUR-Nursing NUTR Description CLPH CLPH-Clinical Pharmacy CMCI CMCI-CIC Common Market CMPL CMPL-Comparative Literature CNIT CNIT-Music History & Theory NRES NRES-Natural Res & Environ Sci NS NS-Naval Science NUCL NUCL-Nuclear Engineering #12

  1. 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 EnergyElectrical Engineering Technology (EET) LONG RANGE SCHEDULE Course Number and Name Fall 2010 Spr 2011 Sum 2011 Fall 2011 Spr 2012 Sum 2012 Fall 2012 Spr 2013 Sum 2013 Fall 2013 Spr 2014 Sum 2014 EET

  2. Advance Resource Provisioning in Bulk Data Scheduling

    SciTech Connect (OSTI)

    Balman, Mehmet

    2012-10-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    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

    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.

  4. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, VOL. X, NO. X, JUNE 2008 1 Schedulability analysis of global scheduling

    E-Print Network [OSTI]

    Lipari, Giuseppe

    analysis of global scheduling algorithms on multiprocessor platforms Marko Bertogna, Michele Cirinei and sporadic real-time task sets with constrained deadlines preemptively scheduled on a multiprocessor platform to two typical scheduling algorithms: Earliest Deadline First (EDF) and Fixed Priority (FP). Then

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

    SciTech Connect (OSTI)

    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

    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.

  6. TRAINING-AND CONTEST-SCHEDULING IN ENDURANCE SPORTS BY MEANS OF COURSE PROFILES AND PERPOT-BASED ANALYSIS

    E-Print Network [OSTI]

    Perl, Jürgen

    profile (graphic on bottom), that the slope-caused load can affect the heart rate profile (graphic-based analysis can help for predicting perform- ance profiles in context-depending load situations and supportingTRAINING- AND CONTEST-SCHEDULING IN ENDURANCE SPORTS BY MEANS OF COURSE PROFILES AND PERPOT

  7. Robust optimization of dose schedules in radiotherapy

    E-Print Network [OSTI]

    Badri, Hamidreza; Leder, Kevin

    2015-01-01T23:59:59.000Z

    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...

  8. 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

  9. The use of a simulation model to test scheduling techniques for flexible manufacturing systems

    E-Print Network [OSTI]

    Ingalls, Ricki Gene

    1984-01-01T23:59:59.000Z

    Shop Scheduling Problem 3 FLEXIBLE MANUFACTURING SISTEMS An Analytical System The Harris Graphics System Comparisons 4 THE SIMULATION MODEL 5 TH'E EXPERIMENT 6 THE RESULTS Deterministic Setup and Run Times Stochastic Setup and Run Times... or a k-Erlang distribution. 4. The system is in steady state. 5. The number of possible states is finite. 6. Each machining center with m identical machines having a (1/m)~p service rate, is approximated to a single channel system with a service rate...

  10. SFSU Food TrUck SchedUle Schedule subject to change, follow SFSU Gator Group on Facebook and Twitter for the most up-to-date schedule.

    E-Print Network [OSTI]

    SFSU Food TrUck SchedUle Schedule subject to change, follow SFSU Gator Group on Facebook-Thur; 11am-2pm Adam's Grubtruck Asian flavors w/ a twist of good ol' American comfort food Hiyaaa a fine balance of Chinese, Korean, and Vietnamese flavors No Truck Service J-Shack fresh and organic Japanese

  11. 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.

  12. Rates and Repayment Services

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

    Rates and Repayment Services Rates Loveland Area Projects Firm Power Rates Open Access Transmission Tariff Rates Chart of Loveland Area Projects Historical Transmission Rates...

  13. The timing behavior of message-driven distributed algorithms scheduled with real-

    E-Print Network [OSTI]

    The timing behavior of message-driven distributed algorithms scheduled with real- time scheduling simulation of a distributed system with real-time scheduling of tasks. The Problem: Since we consider message-driven algorithms, the messages influence the real- time scheduling on other nodes. This scheduling influences

  14. A pedometer-based intervention to increase physical activity : applying frequent, adaptive goals and a percentile schedule of reinforcement

    E-Print Network [OSTI]

    Adams, Marc Anthony

    2009-01-01T23:59:59.000Z

    smoking cessation using percentile schedules. Drug andthe 21st century: Moving percentile schedules into appliedstep/day using a percentile schedule of reinforcement over 5

  15. Optimization Online - Clinic Scheduling Models with Overbooking for ...

    E-Print Network [OSTI]

    Bo Zeng

    2008-02-26T23:59:59.000Z

    Feb 26, 2008 ... Finally, we perform a set of numerical experiments and provide managerial insights for health care practitioners. Keywords: clinical scheduling ...

  16. An efficient algorithm for the earliness-tardiness scheduling problem

    E-Print Network [OSTI]

    Francis Sourd

    2005-09-07T23:59:59.000Z

    Sep 7, 2005 ... An efficient algorithm for the earliness-tardiness scheduling problem. Francis Sourd (Francis.Sourd ***at*** lip6.fr) Safia Kedad-Sidhoum (Safia.

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

    E-Print Network [OSTI]

    Alireza Soroudi

    2015-01-03T23:59:59.000Z

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

  18. 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.

  19. GAO-12-120G, GAO Schedule Assessment Guide

    Office of Environmental Management (EM)

    Resources 173 Table 4. Standard Data Measures for Schedule Best Practices 184 Table 5: Case Studies Drawn from GAO Reports Illustrating This Guide 191 Figures Figure 1: A...

  20. 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...

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

    E-Print Network [OSTI]

    Alireza Soroudi

    2013-12-29T23:59:59.000Z

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

  2. 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...

  3. 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...

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

    National Nuclear Security Administration (NNSA)

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

  5. 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...

  6. assessment schedule ii: Topics by E-print Network

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

    is a challenging task as different sources should cooperate and share their computing power Weissman, Jon 195 Declarative configuration applied to course scheduling MIT -...

  7. Constraint Programming for LNG Ship Scheduling and Inventory ...

    E-Print Network [OSTI]

    2013-10-29T23:59:59.000Z

    The focus of this work is on a central operational issue in the LNG indus- try: designing schedules for the ships to deliver LNG from the production. (

  8. ESPC Task Order Schedules and Placement of Pricing Information...

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

    provides task order (TO) schedule descriptions and information on the placement of pricing for energy savings performance contracts (ESPCs). 54descriptionoftoschedulesj5....

  9. Tool for Generating Realistic Residential Hot Water Event Schedules...

    Office of Environmental Management (EM)

    Residential Hot Water Event Schedules: Preprint Presented at SimBuild 2010; New York, New York; August 1519, 2010 47685.pdf More Documents & Publications Model Simulating...

  10. Tool for Generating Realistic Residential Hot Water Event Schedules...

    Energy Savers [EERE]

    Paper NRELCP-550-47685 August 2010 Tool for Generating Realistic Residential Hot Water Event Schedules Preprint Bob Hendron and Jay Burch National Renewable Energy...

  11. COST AND SCHEDULE FOR DRILLING AND MINING UNDERGROUND TEST FACILITIES

    E-Print Network [OSTI]

    Lamb, D.W.

    2013-01-01T23:59:59.000Z

    SCHEDULE FOR DRILLING AND MINING UNDERGROUND TEST FACILITIEStimes are calculated for a mining and drilling progrilln toof cost and time to compl mining and core drilling for

  12. Adaptable search neighborhoods for Resource Constrained Scheduling

    E-Print Network [OSTI]

    Balakrishnan, Ramamoorthy

    1993-01-01T23:59:59.000Z

    local optima is found). Some common characteristics of traditional local search implementations are: (i) a neighbor is generated by perturbing a feasible solution (e. g. , by swapping two jobs in a schedule), (ii) a neighborhood of a given size has a... drawback with local search methods is that they are local in scope; the optima they seek are the best in s. neighborhood of the current, point. The solution obtained by local search methods depend on the starting solution (seed). On reachiug the local...

  13. Document Status & 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently20,000 Russian NuclearandJunetrack graphics4Dimitri Kusnezov - ChiefOrdersSchedules of

  14. Work Schedules | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA groupTuba City,EnrichedSupplemental DirectivesWork Schedules | National Nuclear

  15. Current Long-Term Operating 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMFormsGas SeparationsRelevant toSiteCurrent Long-Term Operating Schedule

  16. Energy-Aware Duplication Strategies for Scheduling Precedence-Constrained Parallel Tasks on Clusters

    E-Print Network [OSTI]

    Qin, Xiao

    Energy-Aware Duplication Strategies for Scheduling Precedence- Constrained Parallel Tasks can help in conserving energy. Our energy-aware scheduling strategies are conducive to balancing Optimizing energy consumption has become a major concern in designing economical clusters. Scheduling

  17. 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...

  18. Interactive dynamic aircraft scheduling and fleet routing with the out-of-kilter algorithm

    E-Print Network [OSTI]

    Van Cotthem, Jan

    1986-01-01T23:59:59.000Z

    A decision support system is introduced that automates dynamic aircraft scheduling and fleet routing. Interactive graphics-based schedule construction and modification tools automate the dynamic scheduling of aircraft of ...

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

    E-Print Network [OSTI]

    Fernandez, Emmanuel

    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

  20. Resource Minimized Static Mapping and Dynamic Scheduling of SDF Graphs

    E-Print Network [OSTI]

    Ha, Soonhoi

    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

  1. 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

  2. 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

  3. Real-Time Message Routing and Scheduling Ronald Koch1

    E-Print Network [OSTI]

    Nabben, Reinhard

    Real-Time Message Routing and Scheduling Ronald Koch1 , Britta Peis1 , Martin Skutella1.math.tu-berlin.de/coga/ Abstract. Exchanging messages between nodes of a network (e.g., em- bedded computers) is a fundamental issue in real-time systems involving critical routing and scheduling decisions. In order for messages

  4. Energy-Aware Meeting Scheduling Algorithms for Smart Buildings

    E-Print Network [OSTI]

    Albonesi, David H.

    Energy-Aware Meeting Scheduling Algorithms for Smart Buildings Abhinandan Majumdar Computer Systems The increasing worldwide concern over the energy con- sumption of commercial buildings calls for new approaches that analyze scheduled occupant activities and proactively take steps to curb building energy use. As one step

  5. Energy Efficient Scheduling with Power Control for Wireless Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    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 without power control are also solutions if power control is possible, power control can be exploited

  6. Wireless Scheduling with Power Control Magnus M. Halldorsson

    E-Print Network [OSTI]

    Halldórsson, Magnús M.

    Wireless Scheduling with Power Control Magn´us M. Halld´orsson February 23, 2011 Abstract We the time for satisfying all requests. We study here the combined problem of scheduling and power control constraints. In this paper, we focus on the power control version, where we also choose the power settings

  7. Single Machine Scheduling with a Non-renewable Financial Resource

    E-Print Network [OSTI]

    Magdeburg, Universität

    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

  8. Multichannel Scheduling and Its Connection to Queueing Network Control Problem

    E-Print Network [OSTI]

    Islam, M. Saif

    oc- cupancy in cognitive radio systems, and security requirements. The objective is to scheduleMultichannel Scheduling and Its Connection to Queueing Network Control Problem Pouya Tehrani , Qing weighted throughput of the network. Based on a Markov Decision Process formulation, we show

  9. Competitive Non-migratory Scheduling for Flow Time and Energy

    E-Print Network [OSTI]

    Wong, Prudence W.H.

    @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

  10. Competitive Nonmigratory Scheduling for Flow Time and Energy

    E-Print Network [OSTI]

    Lam, Tak-Wah

    @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

  11. The Charging-Scheduling Problem for Electric Vehicle Networks

    E-Print Network [OSTI]

    The Charging-Scheduling Problem for Electric Vehicle Networks Ming Zhu, Xiao-Yang Liu, Linghe Kong}@sjtu.edu.cn Abstract--Electric vehicle (EV) is a promising transportation with plenty of advantages, e.g., low carbon method to reduce the total charging time for EVs. We study the Electric Vehicle Charging-Scheduling (EVCS

  12. Renewable Energy Scheduling for Fading Channels with Maximum Power Constraint

    E-Print Network [OSTI]

    Greenberg, Albert

    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

  13. Availability Bars for Calendar Scheduling AbstractAndrew Faulring

    E-Print Network [OSTI]

    Myers, Brad A.

    Availability Bars for Calendar Scheduling AbstractAndrew Faulring Carnegie Mellon University 5000 meeting or to what extent an existing meeting can be rescheduled. This paper introduces the "availability. Availability bars, embedded in calendar applications, can help users who manually schedule meetings

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

    SciTech Connect (OSTI)

    Polychronopoulos, Constantine D.

    1986-08-01T23:59:59.000Z

    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.

  15. TOWARDS REAL-TIME GENERATION SCHEDULING IN MICROGRIDS WITH

    E-Print Network [OSTI]

    Zhang, Junshan

    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

  16. Optimal Maintenance Scheduling of a Gas Engine Power Plant

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    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

  17. Global Optimization for Scheduling Refinery Crude Oil Operations Ramkumar Karuppiaha

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    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

  18. Jitter-Approximation Tradeoff for Periodic Scheduling Zvika Brakerski

    E-Print Network [OSTI]

    Patt-Shamir, Boaz

    Jitter-Approximation Tradeoff for Periodic Scheduling Zvika Brakerski Dept. of Electrical the average period of a job in the schedule is blown up w.r.t. its requested period, and the jitter ratio with low jitter ratio allow the mobile devices to save power by hav- ing their receivers switched off

  19. Moldable Parallel Job Scheduling Using Job Efficiency: An Iterative Approach

    E-Print Network [OSTI]

    Feitelson, Dror

    Moldable Parallel Job Scheduling Using Job Efficiency: An Iterative Approach Gerald Sabin, Matthew OH 43201, USA, {sabin, langma, saday}@cse.ohio-state.edu Abstract. Currently, job schedulers require "rigid" job submissions from users, who must specify a particular number of processors for each paral

  20. Balancing Authority Cooperation Concepts - Intra-Hour Scheduling

    SciTech Connect (OSTI)

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

    2013-03-29T23:59:59.000Z

    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.

  1. 2007 Wholesale Power Rate Case Initial Proposal : Direct Testimony.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2005-11-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Vangala, Harish; Sharma, Prof Vinod

    2011-01-01T23:59:59.000Z

    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.

  3. 2015 PARKING PERMIT PRORATION SCHEDULE July 1, 2014 -June 30, 2015

    E-Print Network [OSTI]

    Kamat, Vineet R.

    .26 686.62 285.00 63.68 31.62 352.94 67.94 125.00 349.12 349.12 285.00 All Presidential Society permits2015 PARKING PERMIT PRORATION SCHEDULE July 1, 2014 - June 30, 2015 Retiree Retiree UM Bus Pres-Monthly Permit Rates July 15-31 147.59 1,579.33 655.50 146.62 72.83 811.71 156.21 287.50 803.08 803.08 655

  4. Scheduling on the MasPar SIMD parallel computer 

    E-Print Network [OSTI]

    Perkins, Keith Douglas

    1995-01-01T23:59:59.000Z

    , or 10 (b) have finished communicating with the task. 3. The processor must not be currently executing a task. The schedule for this task graph is shown in Figure 3. This schedule shows two processors, PO and Pl, and the units of time, T. In Figure 2... queue and the precedence constraints, Figure 5 shows the time, T, when each task is scheduled onto processors PO and Pl. 13 14 12 13 10 6 7 9 5 Fig. 4. A task graph labeled by using the Coffman/Graham algorithm. P1 13 ? ? 9 7 5 3 1 P0 14 12 11...

  5. Optimization Online - Distributionally robust workforce scheduling in ...

    E-Print Network [OSTI]

    Shuangqing Liao

    2011-05-25T23:59:59.000Z

    May 25, 2011 ... A method for staffing large call centers based on stochastic fluid models. ... Staffing a call center with uncertain non-stationary arrival rate and ...

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

    E-Print Network [OSTI]

    Lipari, Giuseppe

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

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

    E-Print Network [OSTI]

    Graves, Gregory Howard

    1998-01-01T23:59:59.000Z

    . When t & 1. 5, f(ztj &f(vi) and zi is not optimaL With this result, we propose some properties of an optimal schedule after defining some terminology. A cotrtitruousjob is a job that is processed entirely in one batch. Conversely, a split job... and inserting the maintenance after the last job that ends before T results in a feasible schedule, then this schedule is optimaL Proof. Let the jobs be reindexed according to SPT. Let kbe the largest integer such that g(s, + p, ) & T. Let F = $ (s, + p...

  8. 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...

  9. LCLS-scheduling-run_6_Ver4.xlsx

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

    AMO SXR XPP XCS CXI MEC Day 9 am - 9 pm Night 9 pm - 9 am Ver 3: CB 020112 LCLS Run 6 Schedule LCLS shutdown LCLS Approved Experiments for Run 6, June-December 2012...

  10. L-?Functions and Trace Formula Workshop Schedule

    E-Print Network [OSTI]

    2015-05-11T23:59:59.000Z

    L-?Functions and Trace Formula Workshop Schedule. May 11 – May 13, 2015 at Purdue University. Monday, May 11. 9:15 am – 9:30 am: Casselman/Shahidi:.

  11. Trident schedule FY15 -- rev 12-9-14.xlsx

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

    Schedule FY 2015 9-Dec-14 Date Experiment PI Chamber Pulse-length range Potential shooting days Comments 29-Sep Ion Acceleration Sasi Palaniyappan North ps 4 6-Oct 4 13-Oct...

  12. Gain scheduling for geometrically nonlinear flexible space structures

    E-Print Network [OSTI]

    Yung, Jeremy Hoyt, 1971-

    2002-01-01T23:59:59.000Z

    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 ...

  13. 27-ID and 35-ID Construction Schedule | Advanced Photon Source

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

    27-ID and 35-ID Past 27-ID and 35-ID Installation schedule for the sector 27 Control room. Receive materials on Friday March 10, 2014 Installation starts on Monday March 10, 2014...

  14. 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

  15. Scheduling to minimize power consumption using submodular functions

    E-Print Network [OSTI]

    Zadimoghaddam, Morteza

    2010-01-01T23:59:59.000Z

    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 ...

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

    E-Print Network [OSTI]

    2013-08-19T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    2014-07-15T23:59:59.000Z

    Abstract In this paper, a mathematical approach was used to schedule trains in order to minimize the .... a range of mathematical representations and solutions methods for the specific sit- uations of the ...... Computers & Industrial Engineering.

  18. Thread Scheduling Mechanisms for Multiple-Context Parallel Processors

    E-Print Network [OSTI]

    Fiske, James A. Stuart

    1995-06-01T23:59:59.000Z

    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 ...

  19. Optimal Design and Scheduling of Unsteady State Material Recovery Networks

    E-Print Network [OSTI]

    Rabie, Arwa H.

    2010-01-14T23:59:59.000Z

    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...

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

    E-Print Network [OSTI]

    Nagi, Rakesh

    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

  1. First BPA customer schedules energy in 15-minute increments

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

    increments 10222014 12:00 AM Tweet Page Content At 11:04 a.m. on Tuesday, Portland General Electric became the first BPA customer to schedule energy in 15-minute increments....

  2. A Modular Genetic Algorithm for Scheduling Task Graphs

    E-Print Network [OSTI]

    Bhattacharyya, Shuvra S.

    for a schedule. However, these existing approaches are monolithic as they attempt to scan the entire solution of an existing chromosome). A fitness function, which measures the quality of each candidate solution according

  3. MA 224 FINAL EXAM INFORMATION The final exam is scheduled ...

    E-Print Network [OSTI]

    Devilyna L Nichols

    2007-11-14T23:59:59.000Z

    The final exam is scheduled for Monday, December 10, at 8:00 a.m. in Lambert. Fieldhouse. Seats are assigned and you should receive your assigned seat from

  4. Argonne Training Program on Extreme-Scale Computing Scheduled...

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

    Argonne Training Program on Extreme-Scale Computing Scheduled for August 2-14, 2015 Author: Brian Grabowski . January 29, 2015 Printer-friendly version ARGONNE, Ill., January 28,...

  5. Parallel parametric combinatorial search : its application to runway scheduling

    E-Print Network [OSTI]

    Trivizas, Dionyssios Anastasios

    1987-01-01T23:59:59.000Z

    The Runway Scheduling Problem (RSP) addresses the fundamental issues of airport congestion and energy conservation. It is a variation of the Traveling Salesman Problem (TSP) from which it differs in three basic points: the ...

  6. The Influence of Proportional Jitter Scheduling Algorithms on Differentiated

    E-Print Network [OSTI]

    Wichmann, Felix

    The Influence of Proportional Jitter Scheduling Algorithms on Differentiated Services Networks a new and simple model (called Proportional Jitter Differentiated Services - PJDM) that does provide proportional jitter between different classes based on the Jitter Differentiation Parameters. Unlike other

  7. Scheduling and 2D placement heuristics for partially reconfigurable systems

    E-Print Network [OSTI]

    Santambrogio, Marco Domenico

    This paper proposes new scheduling and 2D placement heuristics for partially dynamically reconfigurable systems. One specific focus of this work is to deal with applications containing hundreds of tasks grouped in a few ...

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

    E-Print Network [OSTI]

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

    2013-01-01T23:59:59.000Z

    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 ...

  9. Scheduling in switched queueing networks with heavy-tailed trac

    E-Print Network [OSTI]

    Markakis, Mihalis G

    2013-01-01T23:59:59.000Z

    We study scheduling problems arising in switched queueing networks, a class of stochastic systems that are often used to model data communication networks, such as uplinks and downlinks of cellular networks, networks of ...

  10. To: Mansueti, Lawrence Subject: RE: Pepco Scheduled Line Repair...

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

    Sent: Monday, January 29, 2007 6:28 PM To: Mansueti, Lawrence Subject: RE: Pepco Scheduled Line Repair Dec. 1-20, 2006 Larry, Regarding the planned line outage,...

  11. airline demand schedules: Topics by E-print Network

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

    on the Smart Grid Engineering Websites Summary: 1 Smart (In-home) Power Scheduling for Demand Response on the Smart Grid Gang Xiong, Chen Chen consumption are part of demand...

  12. 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

  13. Task and instruction scheduling in parallel multithreaded processors

    E-Print Network [OSTI]

    Mishra, Amitabh

    1996-01-01T23:59:59.000Z

    . A Conceptual Model II A PARALLEL MULTITHREADING PROCESSOR ARCHI- TECTURE. . A. Hardware Organization B. Simulation Methodology III TASK AND INSTRUCTION SCHEDULING . A. Existing Thread and Instruction Scheduling Policies . 1. Round Robin Thread... Decomposition of a 5 X 5 Submatrix . . 29 10 LUD: Comparison of Round Robin Fetch Policies 33 LUD: Comparison of Critical Path Based Prioritized Fetch Policies . 34 12 LUD: Comparison of Fetch Policies 35 13 LUD: Comparison of Instruction Issuing Policies...

  14. Priority and fair scheduling in wireless local area networks 

    E-Print Network [OSTI]

    Dugar, Anurag

    2001-01-01T23:59:59.000Z

    always inspired me to do my best. TABLE OF CONTENTS CHAPTER Page INTRODUCTION . BACKGROUND A. Wireless Local Area Network Standards . 1. IEEE 802. 11 Access Mechanism 2. Hiperlan Access Mechanism . B. Priority and Fair Scheduling in Wireless LANs... 1. Comparison of Proposed Scheme with IEEE 802. 11 Distributed Coordination Function (DCF) . 2. Comparison of the Proposed Scheme with DFS B. Priority Scheduling and Weighted Fairness ALTERNATIVE SCHEME FOR CONTENTION RESOLUTION A. Alternative...

  15. The rate schedule below was approved on a final basis by the...

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

    Project imposed by the U. S. Army Corps of Engineers (Corps) as a precaution to prevent failure of the dams, Southeastern is not able to provide peaking capacity to these...

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

    E-Print Network [OSTI]

    Alur, Rajeev

    . 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

  17. A General Scheduling Strategy based on an Estimate of the Rate Region

    E-Print Network [OSTI]

    Bhashyam, Srikrishna

    at the institute, including Sreenath, Amarnath, Karthik, Amardeep, Sashidharan, Murali, Karthik Upadhyay and Mahesh

  18. CP&L-1-B Wholesale Power Rate Schedule | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJune 2,The BigSidingState6Report,COMMENTS ONPRGM NAMECOR

  19. CP&L-2-B Wholesale Power Rate Schedule | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJune 2,The BigSidingState6Report,COMMENTS ONPRGM NAMECORpursuant

  20. CP&L-3-B Wholesale Power Rate Schedule | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJune 2,The BigSidingState6Report,COMMENTS ONPRGM NAMECORpursuantto

  1. CP&L-4-B Wholesale Power Rate Schedule | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJune 2,The BigSidingState6Report,COMMENTS ONPRGM

  2. SCE&G-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 DataDepartment of Energy Your Density Isn'tOrigin ofEnergy at Waste-to-Energy usingofRetrofittingFundAofSCE&G-4-E Wholesale Power

  3. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2 OPAM615_CostNSAR -DepartmentRetailEnergy RoleAnalyticalBusinesses1-E

  4. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2 OPAM615_CostNSAR -DepartmentRetailEnergy RoleAnalyticalBusinesses1-E2-E

  5. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2 OPAM615_CostNSAR -DepartmentRetailEnergy RoleAnalyticalBusinesses1-E2-E3-E

  6. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2 OPAM615_CostNSAR -DepartmentRetailEnergy

  7. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag Jump to: navigation,ProjectStartDateProperty EditResults Jump to:

  8. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag Jump to: navigation,ProjectStartDateProperty EditResults Jump

  9. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag Jump to: navigation,ProjectStartDateProperty EditResults JumpProperty Edit

  10. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag Jump to: navigation,ProjectStartDateProperty EditResults JumpProperty

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

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.Gas Proved Reserves, WetGasCubic3 PC's5

  12. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 34 44Year199873.4 66.1 56.2 50.4415 6833 (ThousandMean of

  13. SCE&G-3-E Wholesale Power Rate Schedule | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014, anEnergyDepartment ofNone System: Georgia-Alabama-South Carolina

  14. Radiosensitizing Properties of Bortezomib Depend on Therapeutic Schedule

    SciTech Connect (OSTI)

    Labussiere, Marianne [EA 4421 SiGReTO, UHP Nancy-University (France); Pinel, Sophie, E-mail: Sophie.Pinel@medecine.uhp-nancy.f [EA 4421 SiGReTO, UHP Nancy-University (France); Vandamme, Marc [EA 4421 SiGReTO, UHP Nancy-University (France); Plenat, Francois [EA 4421 SiGReTO, UHP Nancy-University (France); Service d'Anatomie et Cytologie Pathologiques, Hopital de Brabois CHU Nancy (France); Chastagner, Pascal [EA 4421 SiGReTO, UHP Nancy-University (France); Service d'Onco-Hematologie Pediatrique, Hopital d'Enfants CHU Nancy F-54500 Vandoeuvre-les-Nancy (France)

    2011-03-01T23:59:59.000Z

    Purpose: To investigate the influence of the bortezomib (BTZ) on malignant glioma radiosensitivity in two xenograft models. Methods and Materials: For TCG3 and U87 models, we evaluated the antitumor activity of BTZ, radiotherapy, and BTZ plus radiothearapy according to two therapeutic schedules: a 'nonfractionated' schedule corresponding to a single dose of treatment per week, and a 'fractionated' schedule corresponding to the same weekly dose divided into 5 fractions. Treatments influence on proliferation and apoptosis indexes, cell cycle distribution, and nuclear factor-{kappa}B pathway were explored. Results: The radiosensitizing properties of BTZ observed with the nonfractionated schedule were lost with the fractionated schedule. Bortezomib-mediated radiosensitization was associated with an increased apoptosis response and major changes in cell proliferation, but the nuclear factor-{kappa}B pathway was not involved. Most of the cellular effects induced by BTZ when tumors received a single irradiation were cancelled out if radiotherapy was fractionated. Conclusion: The influence of BTZ on glioma radiosensitivity seems to depend on the treatment fractionation schedule, emphasizing the need to clarify the mechanisms underlying BTZ's radiosensitizing effects before further clinical trials are initiated.

  15. Chlorite Dissolution Rates

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

    Carroll, Susan

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

  16. Chlorite Dissolution Rates

    SciTech Connect (OSTI)

    Carroll, Susan

    2013-07-01T23:59:59.000Z

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

  17. The Interest Rate Conundrum

    E-Print Network [OSTI]

    Craine, Roger; Martin, Vance L.

    2009-01-01T23:59:59.000Z

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

  18. Level schedule implementation in unstable manufacturing environments

    E-Print Network [OSTI]

    López de Haro, Santiago

    2008-01-01T23:59:59.000Z

    American Axle & Manufacturing Inc. (AAM), headquartered in Detroit (MI) is one of the major Tier 1 suppliers in the automotive industry. The main challenge in AAM plant 2 is production rate unstability due to downtime, ...

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

    E-Print Network [OSTI]

    Klein, Ophir

    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

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

    SciTech Connect (OSTI)

    Nurre, Sarah G.; Carlson, Jeffrey J.

    2014-01-01T23:59:59.000Z

    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.

  1. PURCH0857 SCOPING SPECIFICATION SCHEDULE OF REQUIREMENTS

    E-Print Network [OSTI]

    Glasgow, University of

    environment to work and study in; and A reduction in energy consumption. This Strategic Plan in the UK. It is consistently rated top in the UK by the International Student Barometer for sports development strategy. The existing GUU is category B listed and as such adaptation will require

  2. Research Rate Liaison Rate for outside academic &

    E-Print Network [OSTI]

    Gilchrist, James F.

    as of 12/9/13 External Rate Spark Plasma Sintering ) Spark Plasma Sintering > 24 hrs 2 8 Vacuum Hot Press

  3. Microgrid Reliability Modeling and Battery Scheduling Using Stochastic Linear Programming

    SciTech Connect (OSTI)

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

    2013-05-23T23:59:59.000Z

    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.

  4. 2004 Rate Adjustments

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

    for Transmission and Ancillary Services Federal Register Notice -- Rate Order WAPA-141: Notice of Extension of Formula Rates for Transmission and Ancillary Services If you have any...

  5. WAPA-169 Rate Order

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

    69 Rate Order Western is proposing adjustments to the Salt Lake City Area Integrated Projects firm power rate and the Colorado River Storage Project Transmission and ancillary...

  6. Multiple System Rate Process

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

    DSW Multiple System Transmission Rate Process Federal Register Notice Withdrawing Rate Proposal (PDF) Formal Process Extension Federal Register Notice (PDF) Customer Savisngs Under...

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

    E-Print Network [OSTI]

    Boyer, Edmond

    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

  8. Encroachments and Schedule 6 LRA 2002: unknotting the tangle

    E-Print Network [OSTI]

    Lees, Emma

    2015-01-01T23:59:59.000Z

    Encroachments and Schedule 6 LRA 2002: unknotting the tangle Emma Lees* The position of encroachments under the Land Registration Act 2002 are unclear. Recent decisions of the Court of Appeal in relation to Schedule 6 LRA 2002 – Baxter v... Mannion1 and Best v Chief Land Registrar2 - have begun to put flesh onto the bones of this aspect of the 2002 Act reforms. It is clear from the Law Commission report that changes to the rules on adverse possession were a central focus of the reforms,3...

  9. Optimal Integrated Control and Scheduling of Networked Control Systems with Communication

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    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 Systems over limited bandwidth deterministic networks. Multivariable linear systems subject

  10. Complexity and Algorithms for Two-Stage Flexible Flowshop Scheduling with Availability Constraints

    E-Print Network [OSTI]

    Xie, Jinxing

    Complexity and Algorithms for Two-Stage Flexible Flowshop Scheduling with Availability Constraints problem with availability constraints. We discuss the complexity and the approximability of the problem cases of the problem. Keywords: Scheduling; Flexible flowshop; Availability constraints; Approximability

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

    E-Print Network [OSTI]

    Simpson, R. W.

    1984-01-01T23:59:59.000Z

    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 ...

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    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

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

    SciTech Connect (OSTI)

    Chadwick, K.

    1988-05-20T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Miller-Karns, Kara A.

    2009-05-15T23:59:59.000Z

    A good schedule is critical to the successful execution of any project. This is especially true in the process industry, where construction schedule overruns can be costly to the client due to lost production capability. ...

  15. Deliberation Scheduling for Planning in Real-Time David J. Musliner

    E-Print Network [OSTI]

    Krebsbach, Kurt D.

    Deliberation Scheduling for Planning in Real-Time David J. Musliner Honeywell Laboratories david.musliner@honeywell

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

    E-Print Network [OSTI]

    Newhall, Tia

    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

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

    E-Print Network [OSTI]

    Boyer, Edmond

    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

  18. Revised: 7.2.2012 SCH101 Schedule of Classes (SOC) Checklist

    E-Print Network [OSTI]

    Zhang, Shangyou

    term; go to: UDSIS-Maintain Schedule of Classes; search for course/section; click to choose; proceed that HAS NOT rolled from previous term; go to: UDSIS-Curriculum Management- Schedule of Classes exactly as it should be entered: 30 characters including spaces, and in ALL CAPS. Once the scheduling

  19. Combined Scheduling of Hard and Soft Real-Time Tasks in Multiprocessor Systems

    E-Print Network [OSTI]

    Manimaran, Govindarasu

    Combined Scheduling of Hard and Soft Real-Time Tasks in Multiprocessor Systems B. Duwairi and G to support combined scheduling of hard and soft real-time tasks in such systems, in which multiprocessors with periodic soft tasks. Scheduling any of these task combinations in multiprocessor systems is a #12

  20. Automated and Scheduled Maintenance of Digital Library Collections Wendy Osborn and Steve Fox

    E-Print Network [OSTI]

    Seldin, Jonathan P.

    Automated and Scheduled Maintenance of Digital Library Collections Wendy Osborn and Steve Fox and scheduled maintenance of a digital library collection. Existing systems require the user either to add new module into the Greenstone digital library software, which allows the user to set up scheduled

  1. Global Optimal Routing, Scheduling and Power Control for Multi-hop Wireless Networks with

    E-Print Network [OSTI]

    Tabatabaee, Vahid

    Global Optimal Routing, Scheduling and Power Control for Multi-hop Wireless Networks scheduling and power control that minimizes the total average transmission power is found. We formulate the optimal routing scheduling and power control. Simulation results show that this methodology is more

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

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    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

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

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    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

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

    E-Print Network [OSTI]

    Manimaran, Govindarasu

    ­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

  5. Variation-Aware Application Scheduling and Power Management for Chip Multiprocessors

    E-Print Network [OSTI]

    Torrellas, Josep

    Variation-Aware Application Scheduling and Power Management for Chip Multiprocessors Radu variation effects when scheduling applications or when managing power with Dynamic Voltage and Frequency scheduling and power management. One such power manage- ment algorithm, called LinOpt, uses linear

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

    E-Print Network [OSTI]

    Dechter, Rina

    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

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

    E-Print Network [OSTI]

    Dechter, Rina

    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

  8. Hybrid-Scheduling: A Compile-Time Approach for Energy-Efficient Superscalar Processors

    E-Print Network [OSTI]

    John, Lizy Kurian

    Hybrid-Scheduling: A Compile-Time Approach for Energy-Efficient Superscalar Processors Madhavi scheduling to lower the energy consumption in a processor. In this Hybrid-Scheduling paradigm, regions high performance. These design trends are causing power dissipation and energy consumption on the chip

  9. Preemptive Scheduling for Distributed Systems1 Donald McLaughlin A

    E-Print Network [OSTI]

    Dasgupta, Partha

    placement is done intelligently Although obtaining optimal schedules is NP-complete, many good heuristics multiprocessors. However, in dis- tributed systems it is practically unheard of. Scheduling in distributed systems-preemptive scheduling can perform well if the task lengths and processor speeds are known in advance and hence job

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

    E-Print Network [OSTI]

    Wang, Shengquan

    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

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

    E-Print Network [OSTI]

    Cong, Jason "Jingsheng"

    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

  12. 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

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

    E-Print Network [OSTI]

    Jeong, Jaehoon "Paul"

    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

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    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

  15. Production, Manufacturing and Logistics Using real time information for effective dynamic scheduling

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    In many production processes real time information may be obtained from process control computers of the revised schedule against the production disturbance which results from changing the planned schedule. We into scheduling the complex production processes of steel continuous caster planning. Ó 2002 Elsevier Science B

  16. Batch Splitting in an Assembly Scheduling Environment Satyaki Ghosh Dastidar Rakesh Nagi1

    E-Print Network [OSTI]

    Nagi, Rakesh

    and the diversity of the product mix has made the production planning and scheduling more complex. In the current and setup costs, and timely delivery. Although there have been advances in production control techniques A classical approach in production planning and scheduling is to derive a Master Production Schedule (MPS

  17. Nonserial Dynamic Programming with Applications in Smart Home Appliances Scheduling Part I: Precedence Graph Simplification

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    Nonserial Dynamic Programming with Applications in Smart Home Appliances Scheduling ­ Part I-- In this and a companion paper a dynamic pro- gramming (DP) approach to solve a smart home appliances scheduling problem to the smart home appliances scheduling problem considered in [1], [2]. The problem seeks to determine

  18. CE 4990 -Construction Scheduling Week 1: Steel Frame Project

    E-Print Network [OSTI]

    Mukherjee, Amlan

    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

  19. Optimal Scheduling for Energy Harvesting Transmitters with Hybrid Energy Storage

    E-Print Network [OSTI]

    Ulukus, Sennur

    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

  20. Downstream-based Scheduling for Energy Conservation in Green EPONs

    E-Print Network [OSTI]

    Shihada, Basem

    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

  1. Message Drop and Scheduling in DTNs: Theory and Practice

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Message Drop and Scheduling in DTNs: Theory and Practice Amir Krifa, Chadi Barakat, Senior Member there may store a message in its buffer and carry it along for long periods of time, until an appropriate forwarding opportunity arises. This way, messages can traverse disconnected parts of the network. Multiple

  2. Distributed Uplink Scheduling in EV-DO Rev. A Networks

    E-Print Network [OSTI]

    Guerin, Roch

    Distributed Uplink Scheduling in EV-DO Rev. A Networks Ashwin Sridharan (Sprint Nextel) Ramesh Subbaraman, Roch Guérin (ESE, University of Pennsylvania) #12;5/23/2007 Networking 2007 - Atlanta 2 Overview of Problem · Most modern wireless systems ­ Deliver high performance through tight control of transmissions

  3. Flexible Scheduling Methods and Tools for Real-Time Control

    E-Print Network [OSTI]

    , and real-time control systems constitute an important subclass of these embedded systems. Modern automoFlexible Scheduling Methods and Tools for Real-Time Control Systems Dan Henriksson Department- tive systems, e.g., contain several embedded ECUs (electronic control units) used for various feedback

  4. COST FUNCTIONS FOR SCHEDULING TASKS IN CYBER-PHYSICAL SYSTEMS

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    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

  5. M1 internship account On update schedules and dynamics of

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    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

  6. MINI-MUSEUM Schedule 2014 DATE TOPIC SPEAKER

    E-Print Network [OSTI]

    Shoubridge, Eric

    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

  7. Maintenance scheduling problems as benchmarks for constraint algorithms

    E-Print Network [OSTI]

    Dechter, Rina

    a power plant. We show how these scheduling prob- lems can be cast as constraint satisfaction problems analysis provides worst-case guar- antees which often do not re ect average performance. For instance in practice have substantially better performance than a simpler algorithm without this feature 12, 8

  8. Maintenance scheduling problems as benchmarks for constraint algorithms

    E-Print Network [OSTI]

    Dechter, Rina

    units within a power plant. We show how these scheduling prob­ lems can be cast as constraint average performance. For instance, a backtracking­ based algorithm that incorporates features support through grant RP 8014­06. 1 #12; often in practice have substantially better performance than

  9. Improved Multi-processor Scheduling for Flow Time and Energy

    E-Print Network [OSTI]

    Wong, Prudence W.H.

    . 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

  10. 1 ON LANGUAGES FOR DYNAMIC RESOURCE SCHEDULING PROBLEMS

    E-Print Network [OSTI]

    Powell, Warren B.

    , 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

  11. On Perimeter Coverage Scheduling in Wireless Sensor Networks

    E-Print Network [OSTI]

    Tam, Vincent W. L.

    is to monitor the whole target object as long as possible. In this paper, we first discuss the sufficient monitoring, target tracking, disaster management [1]. Traditionally, coverage problems concern whether- based schedule, we need to identify a set of sensors to monitor the target perimeter in ea

  12. Scheduling for Electricity Cost in Smart Grid Mihai Burcea1,

    E-Print Network [OSTI]

    Wong, Prudence W.H.

    Scheduling for Electricity Cost in Smart Grid Mihai Burcea1, , Wing-Kai Hon2 , Hsiang-Hsuan Liu2 arising in "demand response manage- ment" in smart grid [7, 9, 18]. The electrical smart grid is one of electricity. Peak demand hours happen only for a short duration, yet makes existing electrical grid less

  13. Energy Optimal Transmission Scheduling in Wireless Sensor Networks

    E-Print Network [OSTI]

    Koksal, Can Emre

    1 Energy Optimal Transmission Scheduling in Wireless Sensor Networks Rahul Srivastava, Student networks is energy efficient communication of time-critical data. Energy wastage can be caused by failed. INTRODUCTION Energy efficient communication is one of the key concerns in the design of wireless sensor

  14. Sensor Scheduling in Electronic Support Using Markov Chains

    E-Print Network [OSTI]

    Clarkson, Vaughan

    .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

  15. An Availability-Aware Task Scheduling Strategy for Heterogeneous Systems

    E-Print Network [OSTI]

    Xie, Tao

    An Availability-Aware Task Scheduling Strategy for Heterogeneous Systems Xiao Qin, Member, IEEE, and Tao Xie, Member, IEEE Abstract--High availability is a key requirement in the design and development of heterogeneous systems where processors operate at different speeds and are not continuously available

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

    E-Print Network [OSTI]

    Chakrabarty, Krishnendu

    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

  17. Energy-Efficient Flow Time Scheduling: An Experimental Study

    E-Print Network [OSTI]

    Wong, Prudence W.H.

    of modern processors. A pop- ular technology to reduce energy usage is dynamic speed scaling [5, 8] where and energy, Albers and Fujiwara [3] initiated the study of minimizing a linear combination of total flowEnergy-Efficient Flow Time Scheduling: An Experimental Study Jude-Thaddeus Ojiaku (speaker) Daniel

  18. Energy Efficient Deadline Scheduling in Two Processor Systems

    E-Print Network [OSTI]

    Wong, Prudence W.H.

    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

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

    E-Print Network [OSTI]

    Nagi, Rakesh

    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

  20. Task Scheduling to Extend Platform Useful Life using Prognostics

    E-Print Network [OSTI]

    Boyer, Edmond

    % in average. Keywords ­ Condition Based Maintenance, Scheduling, Remaining Useful Life, Integer Programming corrective maintenance policies where breakdowns were a necessary damage to condition based maintenance it is not yet con- sidered as a cost center, but as a profit lever. Maintenance strategies evolve from

  1. Optimal Scheduling under Variable Electricity Pricing and Availability

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    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

  2. An Evaluation of Sequencing Heuristics for Flexible Flowshop Scheduling Problems

    E-Print Network [OSTI]

    Magdeburg, Universität

    algorithm; simulated annealing 1. Introduction Production scheduling can be defined as the allocation of available production resources over time to perform a collection of tasks (Baker, 1974). It is an important), rubber (Yanney and Kuo, 1989), photographic film (Tsubone, Ohba, Takamuki, and Miyake, 1993), steel

  3. Energy Efficient Datapath Scheduling using Multiple Voltages and Dynamic Clocking

    E-Print Network [OSTI]

    Mohanty, Saraju P.

    consumption of a device has to be minimum to increase battery life, the energy-delay- product hasEnergy Efficient Datapath Scheduling using Multiple Voltages and Dynamic Clocking Saraju P. Mohanty clocking in a co-ordinated manner in order to reduce energy consumption of datapath circuits. In dynamic

  4. Workforce-Constrained Preventive Maintenance Scheduling using Evolution Strategies

    E-Print Network [OSTI]

    Terwilliger, Mark

    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

  5. Optimal Maintenance Scheduling of a Power Plant with Seasonal

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    -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

  6. PBS: A Unified Priority-Based Scheduler Hanhua Feng

    E-Print Network [OSTI]

    for many years for a wide variety of demands that can occur in practice. The types of demands can vary a wide variety of demands, complicating the task of finding the "right" or "best" scheduling policy enable policies whose behavior is a hybrid of these standards. We demonstrate the practical benefits

  7. Periodic schedules for Unitary Timed Weighted Event Graphs

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Event Graph model (TEG also called marked graphs [5]) and dataflow graphs, oftenly used in the computer questions are polynomially solved for ordinary TEG [1], [5], [6], [8]. In particular, it has been shown that if a TEG is live, there always exists a periodic schedule with the optimal throughput (i.e. with the same

  8. System design Active/Active HA Job Scheduler and

    E-Print Network [OSTI]

    Engelmann, Christian

    of scheduled job No loss of running job No restart of running jobs Leading to uninterruptible service overview Project goals failure of head node job submitted job runs job resubmitted job runs job done job resubmitted job runs job done job runs job done job continues job done Resubmission without checkpointing

  9. Hydro-Thermal Scheduling (HTS) 1.0 Introduction

    E-Print Network [OSTI]

    McCalley, James D.

    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

  10. Energy-Efficient Scheduling of HPC Applications in Cloud Computing

    E-Print Network [OSTI]

    Melbourne, University of

    Energy-Efficient Scheduling of HPC Applications in Cloud Computing Environments Saurabh Kumar Garg sustainable. Hence, energy-efficient solutions are required that can address the high increase in the energy centers for a Cloud provider. We consider a number of energy efficiency fac- tors such as energy cost

  11. Flexible Power Scheduling for Sensor Networks Barbara Hohlt

    E-Print Network [OSTI]

    Brewer, Eric A.

    Flexible Power Scheduling for Sensor Networks Barbara Hohlt Computer Science Division University, is a significant cost. Stemm et al. [27] observed that idle listening dominated the energy costs of network of California, Berkeley Berkeley, CA, USA 94720-1776 hohltb@eecs.berkeley.edu Lance Doherty Electrical

  12. 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

  13. Evolutionary Approach for Multi-Objective Scheduling in Surgical Unit

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    unsettled its smooth running. Besides, it requires rules of resources management and tasks organization in order to maximize efficiency. Thus, scheduling in the surgical unit will allow the Hospital to manage, published in "Conférence Francophone Gestion et Ingénierie des Systèmes Hospitaliers (GISEH 2012), Quebec

  14. POWER SCHEDULING IN A HYDRO-THERMAL SYSTEM UNDER UNCERTAINTY

    E-Print Network [OSTI]

    Römisch, Werner

    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

  15. POWER SCHEDULING IN A HYDROTHERMAL SYSTEM UNDER UNCERTAINTY

    E-Print Network [OSTI]

    Römisch, Werner

    POWER SCHEDULING IN A HYDRO­THERMAL SYSTEM UNDER UNCERTAINTY C.C. Carøe 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

  16. Energy-aware scheduling under reliability and makespan constraints

    E-Print Network [OSTI]

    Aupy, Guillaume; Robert, Yves

    2011-01-01T23:59:59.000Z

    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 ...

  17. Simultaneous Cyclic Scheduling and Control of a Multiproduct CSTR Reactor

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    transition time [2]. When addressing optimal control problems, it is normally assumed that the production] who fixed the production sequence and used dynamic optimization for production planning optimizationSimultaneous Cyclic Scheduling and Control of a Multiproduct CSTR Reactor Antonio Flores

  18. Integration of Scheduling and Control Antonio Flores T.

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    : Planning: Defines desired changes to current business affecting access to raw material, production.e. start time, unit to be used,processing time, production level), medium term objectives Control 1 "Planning, scheduling and control systems: why cannot they work together", Donald E. Shobrys

  19. A computer algorithm to optimize the scheduling of strategic sealift 

    E-Print Network [OSTI]

    Lambert, Garrett Randall

    1995-01-01T23:59:59.000Z

    The problem of scheduling strategic sealift assets for a U.S. Army deployment in response to a major regional contingency is considered in this paper. The complexity of this problem depends upon the different types of ship speeds and capacities...

  20. Geology 103 The Dynamic Earth Syllabus and Schedule Fall 2007

    E-Print Network [OSTI]

    Kirby, Carl S.

    Geology 103 ­ The Dynamic Earth Syllabus and Schedule ­ Fall 2007 Dr. Carl Kirby 9:30-10:52 TTh O'Leary 232 Office: 226 O'Leary Lab T or Th 1-5 O'Leary 218 www.facstaff.bucknell.edu/kirby/ 577-1385; kirby

  1. Stability radius of an optimal schedule: a survey and recent

    E-Print Network [OSTI]

    Magdeburg, Universität

    Stability radius of an optimal schedule: a survey and recent developments Sotskov / Tanaev / Werner Abstract The usual assumption that the processing times of the operations are known in advance on the problem data. We survey some recent results in the calculation of the stability radius of an optimal

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

    E-Print Network [OSTI]

    Graves, Gregory Howard

    1998-01-01T23:59:59.000Z

    is arranged as shown in Figure l. As the production levels for the company increase, the need for efficient scheduling of this shop becomes more evident. 2 3 4 3 P6 7 8 9 10 11 12 13 14 16 17 18 19 15 20 1. Welding Shop 2. Automatic Saw 3. CNC...

  3. 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.

  4. 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

  5. Final Report - Dynamic Path Scheduling through Extensions to Generalized Multiprotocol Label Switching (GMPLS)

    SciTech Connect (OSTI)

    Principal Investigator: Dr. Abdella Battou

    2009-05-22T23:59:59.000Z

    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.

  6. Scheduling on the MasPar SIMD parallel computer

    E-Print Network [OSTI]

    Perkins, Keith Douglas

    1995-01-01T23:59:59.000Z

    scheduling, parallel and distributed operating systems, and memory manage- ment [5, 7, 14]. Overall, parallel systems have improved since their inception. Many special cases have been identified, and some gcncral case heuristics have been built that apply... be allocated and freed dynamically, edge costs cannot be completely calculated prior to task 11 3 3 3 3 3 3 3 3 5 8 5 3 0 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 4 4 4 5 6 7 T 1 2 3 4 5 6 7 8 9 10 11 12 13 14 'l5 13 17 18 19 20 21 22 23 Fig. 3. The ffnal schedule...

  7. Enhanced Energy-Aware Feedback Scheduling of Embedded Control Systems

    E-Print Network [OSTI]

    Xia, Feng; Zhao, Wenhong; Sun, Youxian; Dong, Jinxiang

    2008-01-01T23:59:59.000Z

    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.

  8. Scheduling screening inspections for replaceable and non-replaceable systems

    E-Print Network [OSTI]

    Aral, Bahadir

    2009-05-15T23:59:59.000Z

    . 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...

  9. Optimizing Center Performance through Coordinated Data Staging, Scheduling and Recovery

    SciTech Connect (OSTI)

    Zhang, Zhe [ORNL; Wang, Chao [ORNL; Vazhkudai, Sudharshan S [ORNL; Ma, Xiaosong [ORNL; Pike, Gregory [ORNL; Cobb, John W [ORNL; Mueller, Frank [North Carolina State University

    2007-01-01T23:59:59.000Z

    Procurement and optimized utilization of Petascale supercomputers and centers is a renewed national priority. Sustained performance and availability of such large centers is a key technical challenge significantly impacting their usability. As recent research shows, storage systems can be a primary fault source leading to unavailability of even today's supercomputer. Due to data unavailability, jobs are frequently resubmitted resulting in reduced compute center performance as well as in a lack of coordination between I/O activities and job scheduling. In this work, we explore two mechanisms, namely the coordination of job scheduling and data staging/offloading and on-demand job input data reconstruction to address the availability of job input/output data and to improve center-wide performance. Fundamental to both mechanisms is the efficient management of transient data: in the way it is scheduled and recovered. Collectively, from a center standpoint, these techniques optimize resource usage and increase its data/service availability. From a user job standpoint, they reduce job turnaround time and optimize the usage of allocated time. We have implemented our approaches within commonly used supercomputer software tools such as the PBS scheduler and the Lustre parallel file system. We have gathered reconstruction data from a production supercomputer environment using multiple data sources. We conducted simulations based on the measured data recovery performance, the job traces and staged data logs from leadership-class supercomputer centers. Our results indicate that the average waiting time of jobs is reduced. This trend increases significantly for larger jobs and also as data is striped over more I/O nodes.

  10. A method for developing visually intelligent construction scheduling data

    E-Print Network [OSTI]

    Pilgrim, Brent Christian

    2001-01-01T23:59:59.000Z

    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...

  11. Instructions for reviewing/revising the Instructor Workloads in UDSIS Enter UDSIS-go to Curriculum Management>Schedule of Classes>Maintain Schedule of

    E-Print Network [OSTI]

    Zhang, Shangyou

    Management>Schedule of Classes>Maintain Schedule of Classes Enter the term, subject area and catalog numberInstructions for reviewing/revising the Instructor Workloads in UDSIS Enter UDSIS- go to Curriculum ­ click on Search. Go to the Meetings tab and confirm that the faculty ID listed in the "Instructors

  12. LCC Guidance Rates

    Broader source: Energy.gov [DOE]

    Notepad text file provides the LCC guidance rates in a numbered format for the various regions throughout the U.S.

  13. Residential Solar Valuation Rates

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

    Residential Solar Valuation Rates Karl R. Rbago Rbago Energy LLC 1 The Ideal Residential Solar Tariff Fair to the utility and non-solar customers Fair compensation to...

  14. Power Rate Cases (pbl/rates)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible forPortsmouth/Paducah Project OfficePower Electronics Power Electronics PowerPowerRates

  15. Power Rates Announcements (pbl/rates)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible forPortsmouth/Paducah Project OfficePower Electronics Power Electronics PowerPowerRates

  16. Energy Efficient Greedy Link Scheduling and Power Control in wireless networks

    E-Print Network [OSTI]

    Sridharan, Arun

    2012-01-01T23:59:59.000Z

    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.

  17. 2007 Wholesale Power Rate Adjustment Proceeding (WP-07) : Administrator's Final Record of Decision.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2006-07-01T23:59:59.000Z

    This Record of Decision (ROD) contains the decisions of the Bonneville Power Administration (BPA), based on the record compiled in this rate proceeding, with respect to the adoption of power rates for the three-year rate period commencing October 1, 2006, through September 30, 2009. This ''2007 Wholesale Power Rate Adjustment Proceeding'' is designed to establish replacement rate schedules and General Rate Schedule Provisions (GRSPs) for those that expire on September 30, 2006. This power rate case also establishes the General Transfer Agreement (GTA) Delivery Charge for the period of October 1, 2007, through September 30, 2009. BPA's Power Subscription Strategy and Record of Decision (Subscription Strategy), as well as other Agency processes, provide much of the policy context for this rate case and are described in Section 2. This ROD follows a full evidentiary hearing and briefing, including an Oral Argument before the BPA Administrator. Sections 3 through 18, including any appendices or attachments, present the issues raised by parties in this proceeding, the parties positions, BPA staff positions on the issues, BPA's evaluations of the positions, and the Administrator's decisions. Parties had the opportunity to file briefs on exceptions to the Draft ROD, before issuance of this Final Record of Decision.

  18. Hanford Site Environmental Surveillance Master Sampling Schedule for Calendar Year 2011

    SciTech Connect (OSTI)

    Bisping, Lynn E.

    2011-01-21T23:59:59.000Z

    This document contains the calendar year 2011 schedule for the routine collection of samples for the Surface Environmental Surveillance Project and the Drinking Water Monitoring Project. Each section includes sampling locations, sampling frequencies, sample types, and analyses to be performed. In some cases, samples are scheduled on a rotating basis. If a sample will not be collected in 2011, the anticipated year for collection is provided. Maps showing approximate sampling locations are included for media scheduled for collection in 2011.

  19. Hanford Site Environmental Surveillance Master Sampling Schedule for Calendar Year 2007

    SciTech Connect (OSTI)

    Bisping, Lynn E.

    2007-01-31T23:59:59.000Z

    This document contains the calendar year 2007 schedule for the routine collection of samples for the Surface Environmental Surveillance Project and Drinking Water Monitoring Project. Each section includes sampling locations, sampling frequencies, sample types, and analyses to be performed. In some cases, samples are scheduled on a rotating basis and may not be collected in 2007 in which case the anticipated year for collection is provided. Maps showing approximate sampling locations are included for media scheduled for collection in 2007.

  20. Jointly Optimizing Cost, Service, and Environmental Performance in Demand-Responsive Transit Scheduling

    E-Print Network [OSTI]

    Dessouky, Maged

    Jointly Optimizing Cost, Service, and Environmental Performance in Demand-Responsive Transit-cycle environmental consequences in vehicle routing and scheduling, which we develop for a demand- responsive

  1. Microsoft Word - GSA Schedule 84 ESPC Program Contact Info.docx

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

    ESPC program falls under Schedule 84 - Law Enforcement, Security, Facilities Management, Fire, Rescue, Clothing, Marine Craft and EmergencyDisaster, Special Item Number (SIN)...

  2. Scheduling on a single machine under time-of-use electricity tariffs

    E-Print Network [OSTI]

    Kan Fang

    2014-04-10T23:59:59.000Z

    Apr 10, 2014 ... Abstract: We consider the problem of scheduling jobs on a single machine to minimize the total electricity cost of processing these jobs under ...

  3. A Methodology to Analyze the Impact of 30-Minute Wind Scheduling on Load-Following Requirements

    SciTech Connect (OSTI)

    Diao, Ruisheng; Makarov, Yuri V.; Samaan, Nader A.; Kujala, Ben

    2014-12-24T23:59:59.000Z

    This paper proposes a new and systematic approach to investigating the impact of wind transfer between balancing authorities (BAs) with half-hour scheduling on load following requirements, which was traditionally scheduled on an hourly basis. The analysis is conducted for a few BAs in the Pacific Northwest of the U.S. that are described as source BAs (sending renewables) and sink BAs (receiving renewables). The main hypothesis is that if the source BA could schedule interchange for wind on a half-hourly basis, it would make the schedule follow its net load more closely. The scheduling change in the source BA is matched by adding the corresponding component to the net load in the sink BA. The load-following requirements are calculated as: (a) by the difference between the net load and modified schedule in the source BA, and (b) the difference between modified net load and unchanged hourly schedule in the sink BA. Results are presented as hourly upward and downward load following requirements in the source and sink BA, and compared with the results obtained with all generators scheduled on an hourly basis. Thus, the proposed method can effectively help utilities better understand the impact of 30-minute scheduling and make better business decisions.

  4. PHENIX WBS notes. Cost and schedule review copy

    SciTech Connect (OSTI)

    Not Available

    1994-02-01T23:59:59.000Z

    The Work Breakdown Structure (WBS) Book begins with this Overview section, which contains the high-level summary cost estimate, the cost profile, and the global construction schedule. The summary cost estimate shows the total US cost and the cost in terms of PHENIX construction funds for building the PHENIX detector. All costs in the WBS book are shown in FY 1993 dollars. Also shown are the institutional and foreign contributions, the level of pre-operations funding, and the cost of deferred items. Pie charts are presented at PHENIX WBS level 1 and 2 that show this information. The PHENIX construction funds are shown broken down to PHENIX WBS level 3 items per fiscal year, and the resulting profile is compared to the RHIC target profile. An accumulated difference of the two profiles is also shown. The PHENIX global construction schedule is presented at the end of the Overview section. Following the Overview are sections for each subsystem. Each subsystem section begins with a summary cost estimate, cost profile, and critical path. The total level 3 cost is broken down into fixed costs (M&S), engineering costs (EDIA) and labor costs. Costs are further broken down in terms of PHENIX construction funds, institutional and foreign contributions, pre-operations funding, and deferred items. Also shown is the contingency at level 3 and the level 4 breakdown of the total cost. The cost profile in fiscal years is shown at level 3. The subsystem summaries are followed by the full cost estimate and schedule sheets for that subsystem. These detailed sheets are typically carried down to level 7 or 8. The cost estimate Total, M&S, EDIA, and Labor breakdowns, as well as contingency, for each WBS entry.

  5. <RatesMiscInfo>

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

    Rates & Repayment Services Power Reporting MISCELLANEOUS REPORTING Power Supply Report October 2014 (59kb pdf) September 2014 (58kb pdf) August 2014 (47kb pdf) July 2014 (57kb pdf)...

  6. Effective Rate Period

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

    Regulation and Frequency Response DollarsKW-month 4.56 CV-RFS4 Spinning Reserve The formula rate for spinning reserve service is the price consistent with the California...

  7. Effective Rate Period

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

    and Frequency Response DollarsKW-month 3.98 4.17 CV-RFS4 Spinning Reserve The formula rate for spinning reserve service is the price consistent with the California...

  8. Design issues in the semantics and scheduling of asynchronous tasks.

    SciTech Connect (OSTI)

    Olivier, Stephen L.

    2013-07-01T23:59:59.000Z

    The asynchronous task model serves as a useful vehicle for shared memory parallel programming, particularly on multicore and manycore processors. As adoption of model among programmers has increased, support has emerged for the integration of task parallel language constructs into mainstream programming languages, e.g., C and C++. This paper examines some of the design decisions in Cilk and OpenMP concerning semantics and scheduling of asynchronous tasks with the aim of informing the efforts of committees considering language integration, as well as developers of new task parallel languages and libraries.

  9. Integrated services help drill horizontal well ahead of schedule

    SciTech Connect (OSTI)

    Rizk, G. (Baker Hughes Inteq, Houston, TX (United States)); Clough, M. (Baker Hughes Inteq, Aberdeen (United Kingdom))

    1994-03-14T23:59:59.000Z

    Integrated services and incentive contracts helped deliver an onshore horizontal gas well ahead of schedule. Elf Petroland BV's Harlingen 8 well in Holland was drilled and completed in 26 days, instead of the 33 days planned. Incentive bonuses were awarded, and the gas well began production early. Elf Petroland used one supplier to coordinate service operations and make rig site operations more efficient. The streamlined organization on site improved communication and simplified administration and logistics. Rig site problems were addressed quickly, and solutions implemented effectively because of the integrated-services structure. The paper discusses the organizational plan and how it was carried out.

  10. LCLS Experimental Run Schedules | Linac Coherent Light Source

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |Is Your Home asLCLS Experimental Run Schedules Check-In | Computer

  11. Trident schedule FY15 -- rev 12-9-14.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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengthening a solidSynthesisAppliancesTrending:Schedule FY 2015 9-Dec-14 Date

  12. Gang Scheduling with Lightweight User-Level Communication Eitan Frachtenberg,

    E-Print Network [OSTI]

    -priority jobs when needed. £ The system can maintain a high utilization rate under varying workloads

  13. On Thermonuclear Reaction Rates

    E-Print Network [OSTI]

    H. J. Haubold; A. M. Mathai

    1996-12-02T23:59:59.000Z

    Nuclear reactions govern major aspects of the chemical evolution od galaxies and stars. Analytic study of the reaction rates and reaction probability integrals is attempted here. Exact expressions for the reaction rates and reaction probability integrals for nuclear reactions in the case of nonresonant, modified nonresonant, screened nonresonant and resonant cases are given. These are expressed in terms of H-functions, G-functions and in computable series forms. Computational aspects are also discussed.

  14. Effect of transpiration rate on internal plant resistance to water flow

    E-Print Network [OSTI]

    Hailey, James Lester

    1971-01-01T23:59:59.000Z

    models for liquid water flow in plants. because it enables one to estimate leaf water potential from known or estimated transpiration rates. The predicted leaf water potential can be used for scheduling irrigation ~ The leaf diffusion resistance... OF LITERATURE Soil Resistance Internal Plant Resistance Ohm's Law Analogy Mathematical Models of Water Transport in the Soil-Plant- Atmosphere System . ~ Poiseuille's Law . ~ ~ ~ ~ Leaf Diffusion and Aerodynamic Resistances ~ Conclusions of Literature...

  15. Who needs a scheduler? Anne Benoit, Loris Marchal and Yves Robert

    E-Print Network [OSTI]

    Benoit, Anne

    Who needs a scheduler? Anne Benoit, Loris Marchal and Yves Robert ´Ecole Normale Sup´erieure de-2008-34 Abstract This position paper advocates the need for schedul- ing. Even if resources at our), we would still need to assign the right task to the right device. We give several simple examples

  16. A Survey of Energy-Efficient Scheduling Mechanisms in Sensor Networks

    E-Print Network [OSTI]

    Wang, Lan

    A Survey of Energy-Efficient Scheduling Mechanisms in Sensor Networks Lan Wang and Yang Xiao, these energy-efficient scheduling mech- anisms (also called topology configuration mechanisms) need to satisfy certain application requirements while saving energy. In this paper, we provide a survey on energy-efficient

  17. Utilizing Green Energy Prediction to Adapt to Energy Supply Variability when Scheduling Mixed

    E-Print Network [OSTI]

    Simunic, Tajana

    v v Utilizing Green Energy Prediction to Adapt to Energy Supply Variability when Scheduling Mixed green energy to schedule more batch jobs ­ MapReduce jobs are good as 92% finish within 30min · Terminate MR task when green energy supply drops · Guarantee service jobs meet their performance constraints

  18. Department of Computer Science & Engineering Scheduling Design and Verification for Open Soft Real-time Systems

    E-Print Network [OSTI]

    Smart, William

    Soft Real-time Systems Authors: Robert Glaubius, Terry Tidwell,William D. Smart, and Christopher Gill and verification approach for open soft real-time systems, that can use different decision models, e.g., a Markov of scheduling policies for open soft real-time systems. #12;Scheduling Design and Verification for Open Soft

  19. A Robust RAM-THP Architecture for Downlink Multiuser MISO Transmission with User Scheduling

    E-Print Network [OSTI]

    Gulak, P. Glenn

    A Robust RAM-THP Architecture for Downlink Multiuser MISO Transmission with User Scheduling Saeed-Forcing Tomlinson-Harashima Precoding (ZF-THP) for multi-user trans- mission in a multiple-input-single-output (MU-MISO-THP, zero-forcing, multi- user MISO, precoding, scheduling. I. INTRODUCTION Multiple-Input Multiple

  20. Comments on `Gain Scheduling Dynamic Linear Controllers for a Nonlinear and W.E. LEITHEAD

    E-Print Network [OSTI]

    Duffy, Ken

    Comments on `Gain Scheduling Dynamic Linear Controllers for a Nonlinear Plant' D.J.LEITH and W-scheduled controller should be chosen to satisfy a local linear equivalence condition. However, this provides of linear controllers. However, the dynamic behaviour of the resulting controller, being nonlinear, can

  1. Innovative Applications of O.R. Scheduling electric power production at a wind farm

    E-Print Network [OSTI]

    Kusiak, Andrew

    Innovative Applications of O.R. Scheduling electric power production at a wind farm Zijun Zhang computations Wind farm Particle swarm optimization Small world network a b s t r a c t We present a model for scheduling power generation at a wind farm, and introduce a particle swarm optimization algorithm

  2. An Evaluation of Economy-based Resource Trading and Scheduling on Computational Power Grids for

    E-Print Network [OSTI]

    Buyya, Rajkumar

    1 An Evaluation of Economy-based Resource Trading and Scheduling on Computational Power Grids, Computational Economy, Resource Trading, Nimrod/G Resource Broker, Scheduling, and Parameter Sweep Applications, resource allocation or co-allocation, online control, scalability, transparency, and "economy

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

    E-Print Network [OSTI]

    Huang, Jianwei

    Joint Power Control and Link Scheduling in Wireless Networks for Throughput Optimization Liqun Fu--This paper concerns the problem of finding the minimum-length TDMA frame of a power-controlled wire- less formulate the general joint link scheduling and power control problem as an in- teger linear programming

  4. An Opportunistic Scheduler To Balance Performance Measures and Energy Consumption in Wireless Networks: Design and Implementation

    E-Print Network [OSTI]

    Yau, David K Y

    An Opportunistic Scheduler To Balance Performance Measures and Energy Consumption in Wireless scheduler that can balance the energy consumption by an idle system and the performance of motion prediction Chinese University of Hong Kong Shatin, Hong Kong cslui@cse.cuhk.edu.hk Abstract Energy management

  5. Energy and CO2 efficient scheduling of smart appliances in active houses equipped with batteries

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    Energy and CO2 efficient scheduling of smart appliances in active houses equipped with batteries the electricity bill and the CO2 emissions. Mathematically, the scheduling problem is posed as a multi that the new formulation can decrease both the CO2 emissions and the electricity bill. Furthermore, a survey

  6. Energy-aware Workflow Scheduling Using Frequency Scaling Ilia Pietri, Rizos Sakellariou

    E-Print Network [OSTI]

    Sakellariou, Rizos

    when overall energy consumption can be decreased. Synthetic data based on parameters of real scientific overall energy consumption. Keywords-energy-aware scheduling; frequency scaling; DVFS; DAG scheduling to a respective voltage level [3]. Lowering the frequency may lead to decreased energy consumption

  7. A comparative study of continuous-time modelings for scheduling of crude oil operations

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    on its efficient performance for industrial problems. Keywords: Crude oil scheduling; event-based model problem is the first and critical stage of the crude oil refining process. The problem involves crude oilA comparative study of continuous-time modelings for scheduling of crude oil operations Xuan Chena

  8. Abstract: Many sensorbased control systems are dynami cally changing, and thus require a flexible scheduler. The

    E-Print Network [OSTI]

    scheduler has been implemented as the default sched­ uler of CHIMERA II, a real­time operating system being as the default scheduler of the CHIMERA II Real Time Operating System[8]. It is being used to control several

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

    E-Print Network [OSTI]

    Manimaran, Govindarasu

    , and the related issues of fault­tolerance 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 simulation results obtained using the tool are presented in Section 6 and in Section 7, some concluding

  10. Nested Column Generation applied to the Crude Oil Tanker Routing and Scheduling Problem with

    E-Print Network [OSTI]

    Lübbecke, Marco

    Nested Column Generation applied to the Crude Oil Tanker Routing and Scheduling Problem with Split, Germany March 7, 2012 Abstract The split pickup split delivery crude oil tanker routing and scheduling, because of the large expenses in crude oil shipping it is attractive to make use of optimization

  11. Lagrangian Relaxation Based Decompositon for Well Scheduling in Shale-gas Systems

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Lagrangian Relaxation Based Decompositon for Well Scheduling in Shale-gas Systems Brage Rugstad of mid and late-life wells in shale-gas systems. This state of the wells can be prevented by performing. In this paper, we present a Lagrangian relaxation based scheme for shut-in scheduling of distributed shale multi

  12. Gain Scheduled Control of a Solar Power Plant Tor A. Johansen1

    E-Print Network [OSTI]

    Johansen, Tor Arne

    Gain Scheduled Control of a Solar Power Plant Tor A. Johansen1 , Kenneth J. Hunt2 and Idar Petersen to a pilot-scale solar power plant is described. A eld of parabolic collectors focus the solar radiation onto. Solar power plant, nonlinear control, gain scheduling, system identi cation. 1 Introduction

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

    E-Print Network [OSTI]

    Boyer, Edmond

    exploiting both the processor capacity and the available ambient energy. Main definitions Definition 1 and profile of the energy produced by the source. #12;Definition 4: An online scheduling algorithmEDF Option for Scheduling Real-Time Jobs in Energy Harvesting Systems Maryline CHETTO IRCCy

  14. A LOW POWER SCHEDULING SCHEME WITH RESOURCES OPERATING AT MULTIPLE VOLTAGES

    E-Print Network [OSTI]

    Kambhampati, Subbarao

    A LOW POWER SCHEDULING SCHEME WITH RESOURCES OPERATING AT MULTIPLE VOLTAGES Ali Manzak and Chaitali Tempe, AZ 85287­5706 istanbul@asu.edu, chaitali@asu.edu ABSTRACT This paper presents a new resource the resources operate at multi­ ple voltages. The scheduling scheme is list based. In each control cycle

  15. Using Relative Costs in Workflow Scheduling to Cope with Input Data Uncertainty

    E-Print Network [OSTI]

    Sakellariou, Rizos

    2012 ACM 978-1-4503-1608-8/12/12 ...$15.00. the heterogeneous resources in order to estimate the exeUsing Relative Costs in Workflow Scheduling to Cope with Input Data Uncertainty Luiz F. Bittencourt the application, a scheduler must distribute the components of the workflow in the avail- able resources using

  16. Scheduling tree-shaped task graphs to minimize memory and makespan

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Scheduling tree-shaped task graphs to minimize memory and makespan Loris Marchal CNRS experimental evaluation using realistic trees. Keywords-scheduling; makespan-memory tradeoff; tree- shaped task.vivien@inria.fr Abstract--This paper investigates the execution of tree- shaped task graphs using multiple processors. Each

  17. Discrete and Continuous Min-Energy Schedules for Variable Voltage Processors

    E-Print Network [OSTI]

    Li, Minming

    Discrete and Continuous Min-Energy Schedules for Variable Voltage Processors Minming Li Andrew C to be set dynamically in order to save energy consumption, which is a major concern in microprocessor design. A theoretical model for min-energy job scheduling was first proposed a decade ago, and it was shown that for any

  18. On Coordinating Electricity Markets: Smart Power Scheduling for Demand Side Management and Economic Dispatch

    E-Print Network [OSTI]

    Chen, Yiling

    On Coordinating Electricity Markets: Smart Power Scheduling for Demand Side Management and Economic;On Coordinating Electricity Markets: Smart Power Scheduling for Demand Side Management and Economic Dispatch Abstract Information asymmetry in retail electricity markets is one of the largest sources of inef

  19. Dynamic Frame Scheduling with Load Balancing for IEEE 802.16j

    E-Print Network [OSTI]

    Jang, Ju-Wook

    Dynamic Frame Scheduling with Load Balancing for IEEE 802.16j Hoon Baek Dept. of Electronic Engineering Sogang University Seoul, Korea nababo25@eeca1.sogang.ac.kr Ju Wook Jang Dept. of Electronic a frame scheduling algorithm that improves the overall system throughput by reducing waste of radio

  20. Integration of Refinery Planning and Crude-Oil Scheduling using Lagrangian Decomposition

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Integration of Refinery Planning and Crude-Oil Scheduling using Lagrangian Decomposition Sylvain: refinery planning and crude-oil operations scheduling. The proposed approach consists of using Lagrangian-study and a larger refinery problem show that the Lagrangian decomposition algorithm is more robust than the other