National Library of Energy BETA

Sample records for dynamic pricing programs

  1. Essays on Price Dynamics

    E-Print Network [OSTI]

    Hong, Gee Hee

    2012-01-01

    Small Regular Price Changes . . . . . . . . . . . . . . .4 The Cyclicality of Effective Prices2.3 Wholesale Price vs. Retail

  2. Fairness and dynamic pricing: comments

    SciTech Connect (OSTI)

    Hogan, William W.

    2010-07-15

    In ''The Ethics of Dynamic Pricing,'' Ahmad Faruqui lays out a case for improved efficiency in using dynamic prices for retail electricity tariffs and addresses various issues about the distributional effects of alternative pricing mechanisms. The principal contrast is between flat or nearly constant energy prices and time-varying prices that reflect more closely the marginal costs of energy and capacity. The related issues of fairness criteria, contracts, risk allocation, cost allocation, means testing, real-time pricing, and ethical policies of electricity market design also must be considered. (author)

  3. Utility Green Pricing Programs: Design, Implementation, and

    E-Print Network [OSTI]

    Utility Green Pricing Programs: Design, Implementation, and Consumer Response February 2004 · NREL-35618 Utility Green Pricing Programs: Design, Implementation, and Consumer Response Lori Bird, Blair Swezey legal liability or responsibility for the accuracy, completeness, or usefulness of any information

  4. Open Automated Demand Response Dynamic Pricing Technologies and Demonstration

    SciTech Connect (OSTI)

    Ghatikar, Girish; Mathieu, Johanna L.; Piette, Mary Ann; Koch, Ed; Hennage, Dan

    2010-08-02

    This study examines the use of OpenADR communications specification, related data models, technologies, and strategies to send dynamic prices (e.g., real time prices and peak prices) and Time of Use (TOU) rates to commercial and industrial electricity customers. OpenADR v1.0 is a Web services-based flexible, open information model that has been used in California utilities' commercial automated demand response programs since 2007. We find that data models can be used to send real time prices. These same data models can also be used to support peak pricing and TOU rates. We present a data model that can accommodate all three types of rates. For demonstration purposes, the data models were generated from California Independent System Operator's real-time wholesale market prices, and a California utility's dynamic prices and TOU rates. Customers can respond to dynamic prices by either using the actual prices, or prices can be mapped into"operation modes," which can act as inputs to control systems. We present several different methods for mapping actual prices. Some of these methods were implemented in demonstration projects. The study results demonstrate show that OpenADR allows interoperability with existing/future systems/technologies and can be used within related dynamic pricing activities within Smart Grid.

  5. A Dynamic Near-Optimal Algorithm for Online Linear Programming

    E-Print Network [OSTI]

    Ye, Yinyu

    -time forward dynamic pricing for PEVs charging/discharging on smart-grid; Yinyu Ye Online Linear Program 2009

  6. Multicriteria Spatial Price Networks: Statics and Dynamics

    E-Print Network [OSTI]

    Nagurney, Anna

    Multicriteria Spatial Price Networks: Statics and Dynamics Anna Nagurney Department of Finance: In this paper, we develop a spatial price network equilibrium model in which consumers at the demand markets commodity. We provide the governing equilibrium conditions for the multicriteria spatial price problem

  7. System dynamics, market microstructure and asset pricing

    E-Print Network [OSTI]

    Leika, Mindaugas

    2013-01-01

    Traditional asset pricing approaches are not able to explain extreme volatility and tail events that characterized financial markets in the past decade. System Dynamics theory, which is still underutilized in financial ...

  8. Volatility and commodity price dynamics

    E-Print Network [OSTI]

    Pindyck, Robert S.

    2001-01-01

    Commodity prices tend to be volatile, and volatility itself varies over time. changes in volatility can affect market variables by directly affecting the marginal value of storage, and by affecting a component of the total ...

  9. Three Essays on Retail Price Dynamics

    E-Print Network [OSTI]

    Elberg, Andres

    2010-01-01

    of Reference Prices . . . . . . . . . . . . . . . . . . . .2.4.5 Reference Prices andChain-Level Prices . . . . . . . . . . . . . .

  10. Trends in Utility Green Pricing Programs (2005)

    Broader source: Energy.gov [DOE]

    This report presents year-end 2005 data on utility green pricing programs, and examines trends in consumer response and program implementation over time. The data in this report, which were obtained via a questionnaire distributed to utility green pricing program managers, can be used by utilities to benchmark the success of their green power programs. It is important to note that this report covers only a portion of voluntary markets for renewable energy. It does not cover green power sold by independent marketers except for cases in which the marketers work in conjunction with utilities or default electricity suppliers.

  11. Open Automated Demand Response Technologies for Dynamic Pricing and Smart Grid

    SciTech Connect (OSTI)

    Ghatikar, Girish; Mathieu, Johanna L.; Piette, Mary Ann; Kiliccote, Sila

    2010-06-02

    We present an Open Automated Demand Response Communications Specifications (OpenADR) data model capable of communicating real-time prices to electricity customers. We also show how the same data model could be used to for other types of dynamic pricing tariffs (including peak pricing tariffs, which are common throughout the United States). Customers participating in automated demand response programs with building control systems can respond to dynamic prices by using the actual prices as inputs to their control systems. Alternatively, prices can be mapped into"building operation modes," which can act as inputs to control systems. We present several different strategies customers could use to map prices to operation modes. Our results show that OpenADR can be used to communicate dynamic pricing within the Smart Grid and that OpenADR allows for interoperability with existing and future systems, technologies, and electricity markets.

  12. Dynamic Auction for Efficient Competitive Equilibrium under Price Rigidities

    E-Print Network [OSTI]

    Zhang, Dongmo

    Dynamic Auction for Efficient Competitive Equilibrium under Price Rigidities Junwu Zhu1. In an auction market where the price of each selling item is restricted to an admissible interval (price an economy with price rigidities. Talman and Yang (2008) further refined the con- cept and proposed a dynamic

  13. Application of Dynamic Pricing toApplication of Dynamic Pricing to Retail and Supply Chain ManagementRetail and Supply Chain Management

    E-Print Network [OSTI]

    Marcotte, Patrice

    profit Variable cost Profit increase of 8.0% Capture 1% price increase Fixed cost Price is the biggestApplication of Dynamic Pricing toApplication of Dynamic Pricing to Retail and Supply Chain OF PRESENTATION ·· The pricing challengeThe pricing challenge ·· The practice of pricingThe practice of pricing

  14. Trends in Utility Green Pricing Programs (2006)

    SciTech Connect (OSTI)

    Bird, L.; Kaiser, M.

    2007-10-01

    In the early 1990s, only a handful of utilities offered their customers a choice of purchasing electricity generated from renewable energy sources. Today, more than 750 utilities--or about 25% of all utilities nationally--provide their customers a "green power" option. Through these programs, more than 70 million customers have the ability to purchase renewable energy to meet some portion or all of their electricity needs--or make contributions to support the development of renewable energy resources. Typically, customers pay a premium above standard electricity rates for this service. This report presents year-end 2006 data on utility green pricing programs, and examines trends in consumer response and program implementation over time. The data in this report, which were obtained via a questionnaire distributed to utility green pricing program managers, can be used by utilities to benchmark the success of their green power programs.

  15. Trends in Utility Green Pricing Programs (2006)

    SciTech Connect (OSTI)

    Bird, Lori; Kaiser, Marshall

    2007-10-01

    In the early 1990s, only a handful of utilities offered their customers a choice of purchasing electricity generated from renewable energy sources. Today, more than 750 utilities—or about 25% of all utilities nationally—provide their customers a “green power” option. Through these programs, more than 70 million customers have the ability to purchase renewable energy to meet some portion or all of their electricity needs—or make contributions to support the development of renewable energy resources. Typically, customers pay a premium above standard electricity rates for this service. This report presents year-end 2006 data on utility green pricing programs, and examines trends in consumer response and program implementation over time. The data in this report, which were obtained via a questionnaire distributed to utility green pricing program managers, can be used by utilities to benchmark the success of their green power programs.

  16. Dynamic Stochastic Inventory Management with Reference Price Effects

    E-Print Network [OSTI]

    Chen, Xin

    Dynamic Stochastic Inventory Management with Reference Price Effects Xin Chen Department in which demand depends on not only the current selling price but also a memory-based reference price. Pricing and inventory decisions are made simultane- ously at the beginning of each period. Assuming all

  17. Cartel Pricing Dynamics with Cost Variability and Endogenous Buyer Detection

    E-Print Network [OSTI]

    Niebur, Ernst

    Cartel Pricing Dynamics with Cost Variability and Endogenous Buyer Detection Joseph E. Harrington to cost shocks. During the stationary phase, price responds to cost but is much less sensitive than under of cost shocks. It is also shown that the cartel price path may overshoot its long-run level so that price

  18. Trends in Utility Green Pricing Programs (2005)

    SciTech Connect (OSTI)

    Bird, Lori; Brown, Elizabeth

    2006-10-01

    In the early 1990s, only a handful of utilities offered their customers a choice of purchasing electricity generated from renewable energy sources. Today, more than 600 utilities—or about 20% of all utilities nationally—provide their customers a “green power” option. Because some utilities offer programs in conjunction with cooperative associations or other publicly owned power entities, the number of distinct programs totals more than 130. Through these programs, more than 50 million customers have the ability to purchase renewable energy to meet some portion or all of their electricity needs—or make contributions to support the development of renewable energy resources. Typically, customers pay a premium above standard electricity rates for this service. This report presents year-end 2005 data on utility green pricing programs, and examines trends in consumer response and program implementation over time. The data in this report, which were obtained via a questionnaire distributed to utility green pricing program managers, can be used by utilities to benchmark the success of their green power programs.

  19. Characterizing the Response of Commercial and Industrial Facilities to Dynamic Pricing Signals from the Utility

    SciTech Connect (OSTI)

    Mathieu, Johanna L.; Gadgil, Ashok J.; Callaway, Duncan S.; Price, Phillip N.; Kiliccote, Sila

    2010-07-01

    We describe a method to generate statistical models of electricity demand from Commercial and Industrial (C&I) facilities including their response to dynamic pricing signals. Models are built with historical electricity demand data. A facility model is the sum of a baseline demand model and a residual demand model; the latter quantifies deviations from the baseline model due to dynamic pricing signals from the utility. Three regression-based baseline computation methods were developed and analyzed. All methods performed similarly. To understand the diversity of facility responses to dynamic pricing signals, we have characterized the response of 44 C&I facilities participating in a Demand Response (DR) program using dynamic pricing in California (Pacific Gas and Electric's Critical Peak Pricing Program). In most cases, facilities shed load during DR events but there is significant heterogeneity in facility responses. Modeling facility response to dynamic price signals is beneficial to the Independent System Operator for scheduling supply to meet demand, to the utility for improving dynamic pricing programs, and to the customer for minimizing energy costs.

  20. The Dynamics of Real Estate Prices

    E-Print Network [OSTI]

    Case, Bradford; Quigley, John M.

    1988-01-01

    Techniques for Developing Real Estate Price Indices,"Regression Method for Real Estate Price Index Construction,&Berkeley FISHER CENTER FOR REAL ESTATE AND URBAN ECONOMICS p

  1. Modeling and simulation of consumer response to dynamic pricing.

    SciTech Connect (OSTI)

    Valenzuela, J.; Thimmapuram, P.; Kim, J (Decision and Information Sciences); (Auburn Univ.)

    2012-08-01

    Assessing the impacts of dynamic-pricing under the smart grid concept is becoming extremely important for deciding its full deployment. In this paper, we develop a model that represents the response of consumers to dynamic pricing. In the model, consumers use forecasted day-ahead prices to shift daily energy consumption from hours when the price is expected to be high to hours when the price is expected to be low while maintaining the total energy consumption as unchanged. We integrate the consumer response model into the Electricity Market Complex Adaptive System (EMCAS). EMCAS is an agent-based model that simulates restructured electricity markets. We explore the impacts of dynamic-pricing on price spikes, peak demand, consumer energy bills, power supplier profits, and congestion costs. A simulation of an 11-node test network that includes eight generation companies and five aggregated consumers is performed for a period of 1 month. In addition, we simulate the Korean power system.

  2. Dynamic LMP Response Under Alternative Price-Cap and Price-Sensitive Demand Scenarios

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    scheduled for implementation) in the midwest (MISO), New England (ISO-NE), New York (NYISO), the mid1 Dynamic LMP Response Under Alternative Price-Cap and Price-Sensitive Demand Scenarios Hongyan Li protocols I. INTRODUCTION IN April 2003 the U.S. Federal Energy Regulatory Commis- sion issued a white paper

  3. Learning Curve: A Simulation-based Approach to Dynamic Pricing

    E-Print Network [OSTI]

    Greenwald, Amy

    , a market simulator designed for analyzing agent pricing strategies in markets under finite time horizons algorithms using a market simulator that is capable of simulating many different market scenarios, the market environment, and the seller's supply at the moment of the transaction. As dynamic pricing becomes

  4. Incorporating Pricing Decisions into the Stochastic Dynamic Fleet Management Problem

    E-Print Network [OSTI]

    Topaloglu, Huseyin

    their expected values. A second class of fleet management models try to treat the randomness in the load arrivalsIncorporating Pricing Decisions into the Stochastic Dynamic Fleet Management Problem Huseyin This paper shows how to coordinate the pricing and fleet management decisions of a freight carrier. We

  5. Dynamic interactions between electricity prices and the regional economy 

    E-Print Network [OSTI]

    Bethapudi, Daniel Naveen

    2005-08-29

    In this thesis we study characterize the dynamic relationships among two electricity price variables (residential and commercial) and six regional economic variables in order to examine each individual variable??s role in regional economic activity...

  6. Top-percentile traffic routing problem by Dynamic Programming

    E-Print Network [OSTI]

    Grothey, Andreas

    Top-percentile traffic routing problem by Dynamic Programming Andreas Grothey, Xinan Yang School according to top-percentile pricing. We call this problem the Top-percentile Traffic Routing Problem (Tp problem, which is hard to solve due to the integer variables introduced by top-percentile pricing. Several

  7. Essays on Price Dynamics, Welfare Analysis, Household Food Insecurity in Mexico 

    E-Print Network [OSTI]

    Magana Lemus, David

    2013-09-20

    Higher and more volatile food prices, as reported in recent years, have consequences on household welfare and potentially on public policy. Analysis of agricultural commodities price dynamics, welfare ...

  8. Negotiation-Based Task Scheduling to Minimize User's Electricity Bills under Dynamic Energy Prices

    E-Print Network [OSTI]

    Pedram, Massoud

    Negotiation-Based Task Scheduling to Minimize User's Electricity Bills under Dynamic Energy Prices}@usc.edu Abstract--Dynamic energy pricing is a promising technique in the Smart Grid that incentivizes energy to minimize the electricity bill. A general type of dynamic pricing scenario is assumed where the energy price

  9. Green Pricing Program Marketing Expenditures: Finding the Right Balance

    SciTech Connect (OSTI)

    Friedman, B.; Miller, M.

    2009-09-01

    In practice, it is difficult to determine the optimal amount to spend on marketing and administering a green pricing program. Budgets for marketing and administration of green pricing programs are a function of several factors: the region of the country; the size of the utility service area; the customer base and media markets encompassed within that service area; the point or stage in the lifespan of the program; and certainly, not least, the utility's commitment to and goals for the program. All of these factors vary significantly among programs. This report presents data on programs that have funded both marketing and program administration. The National Renewable Energy Laboratory (NREL) gathers the data annually from utility green pricing program managers. Programs reporting data to NREL spent a median of 18.8% of program revenues on marketing their programs in 2008 and 16.6% in 2007. The smallest utilities (those with less than 25,000 in their eligible customer base) spent 49% of revenues on marketing, significantly more than the overall median. This report addresses the role of renewable energy credit (REC) marketers and start-up costs--and the role of marketing, generally, in achieving program objectives, including expansion of renewable energy.

  10. Dynamic Bandwidth Pricing: Provision Cost, Market Size, Effective Bandwidths and Price Games

    E-Print Network [OSTI]

    Weber, Richard

    contracts. We investigate the resulting reaction curves, search for the existence of an equilibrium point the provider of dynamic contracts to enter the market. Key Words: network economics, contracts, pricing and customers have tra- ditionally been of static nature. Both parties agree on the terms of a long- term

  11. Dynamic Windows Program

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

    3 Purpose and Objectives Key Issues Limiting Electrochromic Windows * Expense - Current market price of 50-100ft 2 - Projections indicate under 20ft 2 needed * Aesthetics -...

  12. Forecasting stock prices using Genetic Programming and Chance Discovery

    E-Print Network [OSTI]

    Fernandez, Thomas

    finance. GAs are algorithms that emulate evolution and natural selection to solve a problem. A populationForecasting stock prices using Genetic Programming and Chance Discovery Alma Lilia Garcia to financial problems. In particular, the use of Genetic Algorithms (GAs), for financial purposes, has

  13. Essays on price dynamics, discovery, and dynamic threshold effects among energy spot markets in North America 

    E-Print Network [OSTI]

    Park, Haesun

    2005-11-01

    Given the role electricity and natural gas sectors play in the North American economy, an understanding of how markets for these commodities interact is important. This dissertation independently characterizes the price dynamics of major electricity...

  14. Renewable Energy Price-Stability Benefits in Utility Green Power Programs

    SciTech Connect (OSTI)

    Bird, L. A.; Cory, K. S.; Swezey, B. G.

    2008-08-01

    This paper examines utility experiences when offering the fixed-price benefits of renewable energy in green pricing programs, including the methods utilized and the impact on program participation. It focuses primarily on utility green pricing programs in states that have not undergone electric industry restructuring.

  15. Renewable Energy Price-Stability Benefits in Utility Green Power Programs. 36 pp

    SciTech Connect (OSTI)

    Bird, Lori A.; Cory, Karlynn S.; Swezey, Blair G.

    2008-08-01

    This paper examines utility experiences when offering the fixed-price benefits of renewable energy in green pricing programs, including the methods utilized and the impact on program participation. It focuses primarily on utility green pricing programs in states that have not undergone electric industry restructuring.

  16. Livestock Risk Protection-Lamb: New Insurance Program to Help Ranchers Manage Lamb Price Risk 

    E-Print Network [OSTI]

    Pena, Jose G.; Thompson, Bill; Bevers, Stan; Anderson, David P.

    2008-10-07

    USDA is offering a new insurance program to help livestock producers manage lamb price risk. This publication explains requirements of the program and the way it works....

  17. Customer response to day-ahead wholesale market electricity prices: Case study of RTP program experience in New York

    SciTech Connect (OSTI)

    Goldman, C.; Hopper, N.; Sezgen, O.; Moezzi, M.; Bharvirkar, R.; Neenan, B.; Boisvert, R.; Cappers, P.; Pratt, D.

    2004-07-01

    There is growing interest in policies, programs and tariffs that encourage customer loads to provide demand response (DR) to help discipline wholesale electricity markets. Proposals at the retail level range from eliminating fixed rate tariffs as the default service for some or all customer groups to reinstituting utility-sponsored load management programs with market-based inducements to curtail. Alternative rate designs include time-of-use (TOU), day-ahead real-time pricing (RTP), critical peak pricing, and even pricing usage at real-time market balancing prices. Some Independent System Operators (ISOs) have implemented their own DR programs whereby load curtailment capabilities are treated as a system resource and are paid an equivalent value. The resulting load reductions from these tariffs and programs provide a variety of benefits, including limiting the ability of suppliers to increase spot and long-term market-clearing prices above competitive levels (Neenan et al., 2002; Boren stein, 2002; Ruff, 2002). Unfortunately, there is little information in the public domain to characterize and quantify how customers actually respond to these alternative dynamic pricing schemes. A few empirical studies of large customer RTP response have shown modest results for most customers, with a few very price-responsive customers providing most of the aggregate response (Herriges et al., 1993; Schwarz et al., 2002). However, these studies examined response to voluntary, two-part RTP programs implemented by utilities in states without retail competition.1 Furthermore, the researchers had limited information on customer characteristics so they were unable to identify the drivers to price response. In the absence of a compelling characterization of why customers join RTP programs and how they respond to prices, many initiatives to modernize retail electricity rates seem to be stymied.

  18. UDP: Usage-based Dynamic Pricing with Privacy Preservation for Smart Grid

    E-Print Network [OSTI]

    Shen, Xuemin "Sherman"

    UDP: Usage-based Dynamic Pricing with Privacy Preservation for Smart Grid Xiaohui Liang, Student for smart grid in a community environment, which enables the electricity price to correspond-preserving manner. Index Terms--Smart grid; dynamic price; privacy preserva- tion; community-specific I

  19. A Dynamic Supply-Demand Model for Electricity Prices Manuela Buzoianu

    E-Print Network [OSTI]

    A Dynamic Supply-Demand Model for Electricity Prices Manuela Buzoianu , Anthony E. Brockwell to as a dynamic supply-demand model, to simultaneously capture electricity price and usage time series. This model, and Duane J. Seppi Abstract We introduce a new model for electricity prices, based on the principle

  20. Dynamic online optimization of a house heating system in a fluctuating energy price

    E-Print Network [OSTI]

    Skogestad, Sigurd

    Dynamic online optimization of a house heating system in a fluctuating energy price scenario in this problem is the time- varying nature of the main disturbances, which are the energy price and outdoor that there is a great economical gain in using dynamic optimization for the case of variable energy price. 1

  1. Dynamic Pricing Strategies under a Finite Time Horizon Joan Morris DiMicco

    E-Print Network [OSTI]

    to scalpers. Cost has been perhaps the greatest factor precluding the widespread use of dynamic pricing goods, but in digital markets, the costs associated with making frequent, instantaneous price changesDynamic Pricing Strategies under a Finite Time Horizon Joan Morris DiMicco MIT Media Laboratory 20

  2. Price-Anderson Nuclear Safety Enforcement Program. 1997 annual report

    SciTech Connect (OSTI)

    NONE

    1998-01-01

    This report summarizes activities in the Department of Energy's Price-Anderson Amendments Act (PAAA) Enforcement Program in calendar year 1997 and highlights improvements planned for 1998. The DOE Enforcement Program involves the Office of Enforcement and Investigation in the DOE Headquarters Office of Environment, Safety and Health, as well as numerous PAAA Coordinators and technical advisors in DOE Field and Program Offices. The DOE Enforcement Program issued 13 Notices of Violation (NOV`s) in 1997 for cases involving significant or potentially significant nuclear safety violations. Six of these included civil penalties totaling $440,000. Highlights of these actions include: (1) Brookhaven National Laboratory Radiological Control Violations / Associated Universities, Inc.; (2) Bioassay Program Violations at Mound / EG and G, Inc.; (3) Savannah River Crane Operator Uptake / Westinghouse Savannah River Company; (4) Waste Calciner Worker Uptake / Lockheed-Martin Idaho Technologies Company; and (5) Reactor Scram and Records Destruction at Sandia / Sandia Corporation (Lockheed-Martin).

  3. Open Automated Demand Response Dynamic Pricing Technologies and Demonstration

    E-Print Network [OSTI]

    Ghatikar, Girish

    2010-01-01

    and Technology Architecture Pricing Technology Architecture and Client Interfaces..Pricing Technology Architecture and Client Interfaces 3.3.

  4. SSL Pricing and Efficacy Trend Analysis for Utility Program Planning

    SciTech Connect (OSTI)

    Tuenge, Jason R.

    2013-10-01

    An LED lamp or luminaire can generally be found that matches or exceeds the efficacy of benchmark technologies in a given product category, and LED products continue to expand into ever-higher lumen output niches. However, the price premium for LED continues to pose a barrier to adoption in many applications, in spite of expected savings from reduced energy use and maintenance. Other factors—such as dimmability and quality of light—can also present challenges. The appropriate type, timing, and magnitude of energy efficiency activities will vary from organization to organization based on local variables and the method of evaluation. A number of factors merit consideration when prioritizing activities for development. Category-specific projections for pricing and efficacy are provided herein to assist in efficiency program planning efforts.

  5. Dynamic Pricing with Limited Supply Moshe Babaioff, Microsoft Research Silicon Valley, Mountain View CA, USA

    E-Print Network [OSTI]

    Fiat, Amos

    Dynamic Pricing with Limited Supply Moshe Babaioff, Microsoft Research Silicon Valley, Mountain University, Ithaca NY, USA Aleksandrs Slivkins, Microsoft Research Silicon Valley, Mountain View CA, USA We

  6. Open Automated Demand Response Technologies for Dynamic Pricing and Smart Grid

    E-Print Network [OSTI]

    Ghatikar, Girish

    2010-01-01

    for Automated Demand Response in Commercial Buildings. ” In2010. “Open Automated Demand Response Dynamic Pricing2009. “Open Automated Demand Response Communications

  7. Household Response To Dynamic Pricing Of Electricity: A Survey...

    Open Energy Info (EERE)

    and Canada. The report suggests conclusive evidence that households respond to higher prices by lowering usage. The magnitude of price response depends on several factors, such as...

  8. Automated Critical Peak Pricing Field Tests: Program Descriptionand Results

    SciTech Connect (OSTI)

    Piette, Mary Ann; Watson, David; Motegi, Naoya; Kiliccote, Sila; Xu, Peng

    2006-04-06

    California utilities have been exploring the use of critical peak prices (CPP) to help reduce needle peaks in customer end-use loads. CPP is a form of price-responsive demand response (DR). Recent experience has shown that customers have limited knowledge of how to operate their facilities in order to reduce their electricity costs under CPP (Quantum 2004). While the lack of knowledge about how to develop and implement DR control strategies is a barrier to participation in DR programs like CPP, another barrier is the lack of automation of DR systems. During 2003 and 2004, the PIER Demand Response Research Center (DRRC) conducted a series of tests of fully automated electric demand response (Auto-DR) at 18 facilities. Overall, the average of the site-specific average coincident demand reductions was 8% from a variety of building types and facilities. Many electricity customers have suggested that automation will help them institutionalize their electric demand savings and improve their overall response and DR repeatability. This report focuses on and discusses the specific results of the Automated Critical Peak Pricing (Auto-CPP, a specific type of Auto-DR) tests that took place during 2005, which build on the automated demand response (Auto-DR) research conducted through PIER and the DRRC in 2003 and 2004. The long-term goal of this project is to understand the technical opportunities of automating demand response and to remove technical and market impediments to large-scale implementation of automated demand response (Auto-DR) in buildings and industry. A second goal of this research is to understand and identify best practices for DR strategies and opportunities. The specific objectives of the Automated Critical Peak Pricing test were as follows: (1) Demonstrate how an automated notification system for critical peak pricing can be used in large commercial facilities for demand response (DR). (2) Evaluate effectiveness of such a system. (3) Determine how customers will respond to this form of automation for CPP. (4) Evaluate what type of DR shifting and shedding strategies can be automated. (5) Explore how automation of control strategies can increase participation rates and DR saving levels with CPP. (6) Identify optimal demand response control strategies. (7) Determine occupant and tenant response.

  9. Analyzing reliability of virtual machine instances with dynamic pricing in the public cloud

    SciTech Connect (OSTI)

    Lim, Seung-Hwan [ORNL; Thakur, Gautam [ORNL; Horey, James L [ORNL

    2014-01-01

    This study presents reliability analysis of virtual machine instances in public cloud environments in the face of dynamic pricing. Different from traditional fixed pricing, dynamic pricing allows price to dynamically fluctuate over arbitrary period of time according to external factors such as supply and demand, excess capacity, etc. This pricing option introduces a new type of fault: virtual machine instances may be unexpectedly terminated due to conflicts in the original bid price and the current offered price. This new class of fault under dynamic pricing may be more dominant than traditional faults in cloud computing environments, where resource availability associated with traditional faults is often above 99.9%. To address and understand this new type of fault, we translated two classic reliability metrics, mean time between failures and availability, to the Amazon Web Services spot market using historical price data. We also validated our findings by submitting actual bids in the spot market. We found that overall, our historical analysis and experimental validation lined up well. Based upon these experimental results, we also provided suggestions and techniques to maximize overall reliability of virtual machine instances under dynamic pricing.

  10. Price Discovery in Dynamic Power Markets with Low-Voltage Distribution-Network Participants

    E-Print Network [OSTI]

    Caramanis, Michael

    Price Discovery in Dynamic Power Markets with Low-Voltage Distribution-Network Participants Elli. To this end, we define a distribution market that can discover spatiotemporal real and reactive power prices dynamically to optimize cost and utility of distributed generation assets, consumers, transformer and other

  11. Prices

    Gasoline and Diesel Fuel Update (EIA)

    Information AdministrationPetroleum Marketing Annual 1998 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) -...

  12. Prices

    Gasoline and Diesel Fuel Update (EIA)

    Information AdministrationPetroleum Marketing Annual 2001 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) -...

  13. Prices

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Information AdministrationPetroleum Marketing Annual 1999 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) -...

  14. Prices

    U.S. Energy Information Administration (EIA) Indexed Site

    Information AdministrationPetroleum Marketing Annual 2002 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) -...

  15. Minimizing the Electricity Bill of Cooperative Users under a Quasi-Dynamic Pricing Model

    E-Print Network [OSTI]

    Pedram, Massoud

    advocating that "residential electricity prices must be based on time of use" to fully enable smart gridMinimizing the Electricity Bill of Cooperative Users under a Quasi-Dynamic Pricing Model Safar Hatami and Massoud Pedram University of Southern California Department of Electrical Engineering

  16. Dynamic Behavior of Differential Pricing and Quality of Service Options for the Internet

    E-Print Network [OSTI]

    Odlyzko, Andrew M.

    Dynamic Behavior of Differential Pricing and Quality of Service Options for the Internet Peter C@research.att.com, amo@research.att.com Abstract. The simple model on which the Internet has op- erated, with all packets the Internet more complicated. Differential quality will also force differential pricing, and this will fur

  17. Gate complexity using Dynamic Programming

    E-Print Network [OSTI]

    Srinivas Sridharan; Mile Gu; Matthew R. James

    2008-07-03

    The relationship between efficient quantum gate synthesis and control theory has been a topic of interest in the quantum control literature. Motivated by this work, we describe in the present article how the dynamic programming technique from optimal control may be used for the optimal synthesis of quantum circuits. We demonstrate simulation results on an example system on SU(2), to obtain plots related to the gate complexity and sample paths for different logic gates.

  18. A Nonlinear Continuous Time Optimal Control Model of Dynamic Pricing and Inventory Control with no

    E-Print Network [OSTI]

    Adida, Elodie

    time optimal control model for studying a dynamic pricing and inventory control problem for a make-to-stock of not introducing any approximation to the real setting: it provides the exact solution of the system. When taking

  19. Negotiation-Based Task Scheduling and Storage Control Algorithm to Minimize User's Electric Bills under Dynamic Prices

    E-Print Network [OSTI]

    Pedram, Massoud

    , snazaria, pedram}@usc.edu Abstract--Dynamic energy pricing is a promising technique in the Smart Grid the electricity bill. A general type of dynamic pricing scenario is assumed where the energy price is both time-based iterative approach has been proposed for joint residential task scheduling and energy storage control

  20. Measuring the impact of an intensive commodity price risk management education program on agricultural producers 

    E-Print Network [OSTI]

    McCorkle, Dean Alexander

    2005-08-29

    -1 MEASURING THE IMPACT OF AN INTENSIVE COMMODITY PRICE RISK MANAGEMENT EDUCATION PROGRAM ON AGRICULTURAL PRODUCERS A Dissertation by DEAN ALEXANDER MCCORKLE Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment... of the requirements for the degree of DOCTOR OF PHILOSOPHY May 2005 Major Subject: Agricultural Education MEASURING THE IMPACT OF AN INTENSIVE COMMODITY PRICE RISK MANAGEMENT EDUCATION PROGRAM ON AGRICULTURAL PRODUCERS A Dissertation by DEAN ALEXANDER MCCORKLE...

  1. Dynamic LMP Response Under Alternative Price-Cap and Price-Sensitive Demand Scenarios

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    profiles) implying essentially vertical demand curves. A key difficulty is that downstream retail markets Marginal Prices (LMPs) for bulk electric power when profit-seeking generators can learn over time how NSF- 0527460 and by a grant from the ISU Electric Power Research Center. Hongyan Li (lihy

  2. Prices

    U.S. Energy Information Administration (EIA) 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: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousand CubicThousandCubic53.6 53.3 49.368.7

  3. Incorporating the Pricing Decisions into the Dynamic Fleet Management Problem

    E-Print Network [OSTI]

    Topaloglu, Huseyin

    and fleet management decisions of a freight carrier. We consider a setting where the loads faced, Pricing. There is a rich body of literature on how to manage a fleet of vehicles to serve the loads that the future load arrivals are known in advance. The majority of the commercial fleet management models used

  4. Variability in Automated Responses of Commercial Buildings and Industrial Facilities to Dynamic Electricity Prices

    SciTech Connect (OSTI)

    Mathieu, Johanna L.; Callaway, Duncan S.; Kiliccote, Sila

    2011-08-16

    Changes in the electricity consumption of commercial buildings and industrial facilities (C&I facilities) during Demand Response (DR) events are usually estimated using counterfactual baseline models. Model error makes it difficult to precisely quantify these changes in consumption and understand if C&I facilities exhibit event-to-event variability in their response to DR signals. This paper seeks to understand baseline model error and DR variability in C&I facilities facing dynamic electricity prices. Using a regression-based baseline model, we present a method to compute the error associated with estimates of several DR parameters. We also develop a metric to determine how much observed DR variability results from baseline model error rather than real variability in response. We analyze 38 C&I facilities participating in an automated DR program and find that DR parameter errors are large. Though some facilities exhibit real DR variability, most observed variability results from baseline model error. Therefore, facilities with variable DR parameters may actually respond consistently from event to event. Consequently, in DR programs in which repeatability is valued, individual buildings may be performing better than previously thought. In some cases, however, aggregations of C&I facilities exhibit real DR variability, which could create challenges for power system operation.

  5. Approximate Dynamic Programming With Correlated Bayesian Beliefs Ilya O. Ryzhov and Warren B. Powell

    E-Print Network [OSTI]

    Powell, Warren B.

    , consider an energy storage problem in which the spot price of energy is modeled using a stochastic and Financial Engineering, Princeton University, Princeton, NJ (email: {iryzhov,powell}@princeton.edu). using external process or via simulation. A fundamental problem of approximate dynamic program- ming is known

  6. A Dynamic Network Economic Model of a Service-Oriented Internet with Price and

    E-Print Network [OSTI]

    Nagurney, Anna

    Nagurney Department of Operations and Information Management, Isenberg School of Management, Uni- versity-mail: dongl@som.umass.edu Sara Saberi Department of Operations and Information Management, Isenberg SchoolA Dynamic Network Economic Model of a Service-Oriented Internet with Price and Quality Competition

  7. Integrating Dynamic Pricing of Electricity into Energy Aware Scheduling for HPC Systems

    E-Print Network [OSTI]

    Sun, Xian-He

    Integrating Dynamic Pricing of Electricity into Energy Aware Scheduling for HPC Systems Xu Yang, Zhou Zhou, Sean Wallace, Zhiling Lan Illinois Institute of Technology, Chicago, IL, USA {xyang56, zzhou Laboratory, Argonne, IL, USA {wtang, smc, papka}@anl.gov ABSTRACT The research literature to date mainly

  8. IEEE PES GENERAL MEETING 2012 1 Dynamic Pricing by Scalable Energy

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    storage (e.g. vehicle to grid) will be crucial for power systems management in the future smart and micro co-generation) has been successfully coordinated to reach specific smart grid goals. Index Terms experiences with dynamic pricing using the PowerMatcher Smart Grid Technology. Demand response, response

  9. Comparison of Price-based Static and Dynamic Job Allocation Schemes for Grid Computing Systems

    E-Print Network [OSTI]

    Chronopoulos, Anthony T.

    Comparison of Price-based Static and Dynamic Job Allocation Schemes for Grid Computing Systems Antonio San Antonio, TX 78249, USA Email: atc@cs.utsa.edu Abstract--Grid computing systems are a cost-effective al- ternative to traditional high-performance computing systems. However, the computing resources

  10. Two-Settlement Electric Power Markets with Dynamic-Price Contracts

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    Two-Settlement Electric Power Markets with Dynamic-Price Contracts 27 July 2011 IEEE PES GM: Personnel from PNNL/DOE, XM, RTE, MEC, & MISO IRW Project:IRW Project: Integrated Retail/Wholesale PowerIntegrated Retail/Wholesale Power System Operation with SmartSystem Operation with Smart--Grid Functionality

  11. Dynamic online optimization of a house heating system in a fluctuating energy price

    E-Print Network [OSTI]

    Skogestad, Sigurd

    energy price. 1. INTRODUCTION Recently, great attention has been given to renewable gen- eration sources building heating system optimization where the goal is the minimization of energy costs, which in turn the energy cost. In this scheme, a dynamic optimization problem is solved at each sample time with new states

  12. Towards Dynamic Pricing-Based Collaborative Optimizations for Green Data Centers

    E-Print Network [OSTI]

    Plotkin, Joshua B.

    . Meanwhile, market penetration of intermittent renewable energy sources (e.g., wind and solar) is on the rise using real intermittent-energy-generation trace data. Modeling the dynamic price over this trace, we energy efficiency is therefore a shared problem between both electric utilities and data centers. Data

  13. Integrating Renewable Energy Contracts and Wholesale Dynamic Pricing to Serve Aggregate

    E-Print Network [OSTI]

    Oren, Shmuel S.

    1 Integrating Renewable Energy Contracts and Wholesale Dynamic Pricing to Serve Aggregate Flexible batteries, with renewable energy resources. We formulate a stochastic optimal control problem that describes that renewable energy supply varies unpredictable and beyond the control of the system operator. The impacts

  14. Examining Uncertainty in Demand Response Baseline Models and Variability in Automated Response to Dynamic Pricing

    SciTech Connect (OSTI)

    Mathieu, Johanna L.; Callaway, Duncan S.; Kiliccote, Sila

    2011-08-15

    Controlling electric loads to deliver power system services presents a number of interesting challenges. For example, changes in electricity consumption of Commercial and Industrial (C&I) facilities are usually estimated using counterfactual baseline models, and model uncertainty makes it difficult to precisely quantify control responsiveness. Moreover, C&I facilities exhibit variability in their response. This paper seeks to understand baseline model error and demand-side variability in responses to open-loop control signals (i.e. dynamic prices). Using a regression-based baseline model, we define several Demand Response (DR) parameters, which characterize changes in electricity use on DR days, and then present a method for computing the error associated with DR parameter estimates. In addition to analyzing the magnitude of DR parameter error, we develop a metric to determine how much observed DR parameter variability is attributable to real event-to-event variability versus simply baseline model error. Using data from 38 C&I facilities that participated in an automated DR program in California, we find that DR parameter errors are large. For most facilities, observed DR parameter variability is likely explained by baseline model error, not real DR parameter variability; however, a number of facilities exhibit real DR parameter variability. In some cases, the aggregate population of C&I facilities exhibits real DR parameter variability, resulting in implications for the system operator with respect to both resource planning and system stability.

  15. Actin Filament Segmentation Using Dynamic Programming

    E-Print Network [OSTI]

    Huang, Xiaolei

    Actin Filament Segmentation Using Dynamic Programming Hongsheng Li, Tian Shen, and Xiaolei Huang for actin filament segmen- tation in 2D TIRFM image sequences. This problem is difficult because actin filaments dynamically change shapes during their growth, and the TIRFM images are usually noisy. We ask

  16. SSL Pricing and Efficacy Trend Analysis for Utility Program Planning

    SciTech Connect (OSTI)

    Tuenge, J. R.

    2013-10-01

    Report to help utilities and energy efficiency organizations forecast the order in which important SSL applications will become cost-effective and estimate when each "tipping point" will be reached. Includes performance trend analysis from DOE's LED Lighting Facts® and CALiPER programs plus cost analysis from various sources.

  17. Staging Dynamic Programming Algorithms Kedar Swadi Walid Taha Oleg Kiselyov

    E-Print Network [OSTI]

    Taha, Walid

    Applications of dynamic programming (DP) algorithms are numerous, and include g* *enetic engineering

  18. Aerospace & Energetics Research Program -University of Washington Plasma Dynamics Group

    E-Print Network [OSTI]

    Shumlak, Uri

    - University of Washington Plasma Dynamics Group q The Boltzmann equation is seven dimensional. qAerospace & Energetics Research Program - University of Washington Plasma Dynamics Group Plasma Research Program - University of Washington Plasma Dynamics Group Abstract Many current plasma simulation

  19. Housing Price Dynamics in Time and Space: Predictability, Liquidity and Investor Returns

    E-Print Network [OSTI]

    Hwang, Min; Quigley, John M.

    2010-01-01

    period. We model directly the price discovery process formodel of price diffusion, and we incorporate a more general and more appropriate structure of the price discovery process

  20. Housing Price Dynamics in Time and Space: Predictability, Liquidity and Investor Returns

    E-Print Network [OSTI]

    Hwang, Min; Quigley, John M.

    2010-01-01

    1991). New evidence on home prices from Freddie Mac repeatmethod for real estate price index construction. Journal ofC. A. (1996). OFHEO house price indexes: HPI technical

  1. Housing Price Dynamics in Time and Space: Predictability, Liquidity and Investor Returns

    E-Print Network [OSTI]

    Hwang, Min; Quigley, John M.

    2010-01-01

    C. A. (1996). OFHEO house price indexes: HPI technicalsense of elevated housing prices. Federal Reserve Bank ofJ. E. (1991). Measuring prices in retransaction housing

  2. Aggregate Dynamics in a Large Virtual Economy: Prices and Real Activity in Team Fortress 2*

    E-Print Network [OSTI]

    Baumer, Matt; Kephart, Curtis

    2015-01-01

    Jackman. Introducing the chained consumer price index.International Working Group on Price Indices (Ottawa Group):Fund. Export and import price index manual: theory and

  3. Western cattle prices vary across video markets and value-adding programs

    E-Print Network [OSTI]

    Blank, Steven C.; Boriss, Hayley; Forero, Larry C.; Nader, Glenn A.

    2006-01-01

    results show average price differences between the regionthe highest average prices. † These values are statisticallyfactors affecting cow auction price differentials. Southern

  4. Prices of Options as Opinion Dynamics of the Market Players with Limited Social Influence

    E-Print Network [OSTI]

    Oster, Elad

    2015-01-01

    The dynamics of market prices is described as the evolution of opinions in the trading community regarding future market behavior. The price then is a function of the voting process of the market players in favor to raise or reduce the value of a stock. The model presented in this paper is suited for pricing of options and was verified against real market data. The model allows deriving the parameters of market players from available real market data, especially maximum possible correlation (herding) and anti-correlation between the players' opinions. The deviations of market prices from those predicted by the Black-Scholes model, such as smile and skew implied volatilities, are interpreted as the current values and limits of social influence of the market players, respectively. To the best of our knowledge, this is the first work that discriminates skew and smile phenomena. Our approach unifies and develops a further connection between trading, voters' model, and statistical physics analogies of opinion dyna...

  5. Monitoring Progress with Dynamic Programming Envelopes

    E-Print Network [OSTI]

    developed a technique for building decision rules, called envelopes, that monitor plan execution Hart90. In their original formulation envelopes provided advance warning of plan failure in the form of a simple continueMonitoring Progress with Dynamic Programming Envelopes Robert St. Amant, Yoshitaka Kuwata, Paul R

  6. DYNAMIC ASSET ALLOCATION BY STOCHASTIC PROGRAMMING METHODS

    E-Print Network [OSTI]

    Stanford University

    for many asset and liability management ("ALM") applications. Within ALM models, we look at the limitedDYNAMIC ASSET ALLOCATION BY STOCHASTIC PROGRAMMING METHODS A DISSERTATION SUBMITTED TO THE DEPARTMENT OF MANAGEMENT SCIENCE AND ENGINEERING AND THE COMMITTEE ON GRADUATE STUDIES OF STANFORD UNIVERSITY

  7. Quantum optical device accelerating dynamic programming

    E-Print Network [OSTI]

    D. Grigoriev; A. Kazakov; S. Vakulenko

    2010-11-23

    In this paper we discuss analogue computers based on quantum optical systems accelerating dynamic programming for some computational problems. These computers, at least in principle, can be realized by actually existing devices. We estimate an acceleration in resolving of some NP-hard problems that can be obtained in such a way versus deterministic computers

  8. Nonserial Dynamic Programming with Applications in Smart Home Appliances Scheduling Part II: Nonserial Dynamic Programming

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    Nonserial Dynamic Programming with Applications in Smart Home Appliances Scheduling ­ Part II) is presented. The problem in this paper generalizes the smart home appliances scheduling problem introduced the following smart home appliances scheduling problem described in the companion paper [3], as the later

  9. 6.231 Dynamic Programming and Stochastic Control, Fall 2002

    E-Print Network [OSTI]

    Bertsekas, Dimitri P.

    Sequential decision-making via dynamic programming. Unified approach to optimal control of stochastic dynamic systems and Markovian decision problems. Applications in linear-quadratic control, inventory control, and resource ...

  10. Dynamic pricing and stabilization of supply and demand in modern electric power grids

    E-Print Network [OSTI]

    Roozbehani, Mardavij

    The paper proposes a mechanism for real-time pricing of electricity in smart power grids, with price stability as the primary concern. In previous publications the authors argued that relaying the real-time wholesale market ...

  11. Essays on Dynamics of Cattle Prices in Three Developing Countries of Mali, Kenya, and Tanzania 

    E-Print Network [OSTI]

    Bizimana, Jean-Claude

    2012-07-16

    countries of Mali, Kenya, and Tanzania. One way of assessing the efficiency of market and the impacts of liberalization policies is to test for market integration and price transmission. We also analyzed price leadership among the markets in each...

  12. Stochastic dynamic optimization of consumption and the induced price elasticity of demand in smart grids

    E-Print Network [OSTI]

    Faghih, Ali

    2011-01-01

    This thesis presents a mathematical model of consumer behavior in response to stochastically-varying electricity prices, and a characterization of price-elasticity of demand created by optimal utilization of storage and ...

  13. Financial comparison of time-of-use pricing with technical DSM programs and generating plants as electric-utility resource options

    SciTech Connect (OSTI)

    Hill, L.J.

    1994-04-01

    Changing electricity prices to more closely reflect production costs has a significant impact on the consumption of electricity. It is known, for example, that most of the efficiency gains in the electric power sectors of the industrialized world since the first international oil price shock in 1973 are attributable to the rising trend of electricity prices. This was due to the rising average price of electricity. Because of the unique characteristics of producing electricity, its marginal cost is higher than its average cost during many hours of the day. This study shows that, for utilities not reflecting these cost differences in their rates, there is ample room to satisfy a portion of their resource needs by exploiting the load-shaping properties of time-of-use (TOU) rates. Satisfying a portion of resource requirements by implementing a TOU-pricing program, however, is not costless. Metering and administering TOU pricing requires a financial commitment by an electric utility. And the commitment has an opportunity cost. That is, the funds could be used to construct generating plants or run DSM programs (other than a TOU-pricing program) and satisfy the same resource needs that TOU pricing does. The question addressed in this study is whether a utility is better-served financially by (i) implementing TOU pricing or (ii) running technical DSM programs and building power plants. The answer is that TOU pricing compares favorably on a financial basis with other resources under a wide set of conditions that real-world utilities confront.

  14. Controlling Velocity In Bipedal Walking: A Dynamic Programming Approach

    E-Print Network [OSTI]

    Atkeson, Christopher G.

    velocity and swing leg angle and angular velocity) to 1 (stance leg angular velocity). RepercussionsControlling Velocity In Bipedal Walking: A Dynamic Programming Approach Thijs Mandersloot their velocity. We control velocity by using dynamic programming to design control laws for each desired velocity

  15. Aerospace & Energetics Research Program -University of Washington Plasma Dynamics Group

    E-Print Network [OSTI]

    Shumlak, Uri

    of Washington Plasma Dynamics Group q The Boltzmann equation is seven dimensional. q As a consequence plasmaAerospace & Energetics Research Program - University of Washington Plasma Dynamics Group Plasma Plasma Dynamics Group Abstract Many current plasma simulation codes are based on the magnetohydrodynamic

  16. Approximate Dynamic Programming -II: Warren B. Powell

    E-Print Network [OSTI]

    Powell, Warren B.

    optimization problems where optimal decisions can be characterized using Bellman's optimality equa- tion a wide range of optimization problems that involve making decisions sequentially in the presence strike price. Valuing the option requires finding an optimal policy for determining when to exercise

  17. Housing Price Dynamics in Time and Space: Predictability, Liquidity and Investor Returns

    E-Print Network [OSTI]

    Hwang, Min; Quigley, John M.

    2010-01-01

    paper, Office of Federal Housing Enterprise Oversight,contract risks in China’s housing market. Journal of RealMaking sense of elevated housing prices. Federal Reserve

  18. Automated Critical Peak Pricing Field Tests: 2006 Pilot Program Description and Results

    E-Print Network [OSTI]

    Piette, Mary Ann; Watson, David; Motegi, Naoya; Kiliccote, Sila

    2007-01-01

    strategies None. Pre-event Walmart Moderate Price ?IncreaseControls:  Janey Kaster  Walmart:  Angela Beehler, Vidhu Bakersfield,  and  Walmart  Fresno) did not participate in 

  19. The short- and long-run effects of the vector grocery store consumer price information program

    E-Print Network [OSTI]

    Boynton, Robert D.; Perloff, Jeffrey M

    1982-01-01

    more useful to consumers Hho differ from the average is toor specific item prices. People Hho find it di fficult to

  20. Price Philanthropies Ocean Science Education: Aquarium

    E-Print Network [OSTI]

    Hampton, Randy

    ! ! ! ! ! Price Philanthropies Ocean Science Education: Aquarium Express Outreach Who: Students by The Price Philanthropies Ocean Science Fund and participate in our Aquarium Express Outreach Programs! What education, Price Philanthropies, led by Robert and Allison Price, joined supporters of Birch Aquarium

  1. Linear Dynamic Programs for Resource Management Marek Petrik

    E-Print Network [OSTI]

    Zilberstein, Shlomo

    dynamic programming, a method used to optimize hydroelectric systems. 1 Introduction Sequential decision a river reservoir to produce hydroelectric power. Among renewable sources, hydroelectricity has the lowest management can therefore significantly reduce carbon emissions. Hydroelectric power is usually produced

  2. Approximate dynamic programming with applications in multi-agent systems

    E-Print Network [OSTI]

    Valenti, Mario J. (Mario James), 1976-

    2007-01-01

    This thesis presents the development and implementation of approximate dynamic programming methods used to manage multi-agent systems. The purpose of this thesis is to develop an architectural framework and theoretical ...

  3. Aggregate Dynamics in a Large Virtual Economy: Prices and Real Activity in Team Fortress 2*

    E-Print Network [OSTI]

    Baumer, Matt; Kephart, Curtis

    2015-01-01

    in Synthetic Keys Fancy Fedora Price Time Series Jul?2011Date Stocks Stocks of Fancy Fedora Over all TF2 Players Jul?unique (normal) quality Fancy Fedora. Notes: The date of the

  4. Aggregate Dynamics in a Large Virtual Economy: Prices and Real Activity in Team Fortress 2*

    E-Print Network [OSTI]

    Baumer, Matt; Kephart, Curtis

    2015-01-01

    The Journal of Political Economy, pages 34–55, 1974. Adamin a Large Virtual Economy: Prices and Real Activity in Teamactivity in a large virtual economy which was designed to

  5. Three Essays on Price Dynamics and Causations among Energy Markets and Macroeconomic Information 

    E-Print Network [OSTI]

    Hong, Sung Wook 1977-

    2012-09-20

    the findings. First, we examine the contemporaneous interdependencies and information flows among crude oil, natural gas, and electricity prices in the United States (US) through the multivariate generalized autoregressive conditional heteroscedasticity...

  6. Approximate Dynamic Programming for Dynamic Capacity Allocation with Multiple Priority Levels

    E-Print Network [OSTI]

    Topaloglu, Huseyin

    Approximate Dynamic Programming for Dynamic Capacity Allocation with Multiple Priority Levels In this paper, we consider a quite general dynamic capacity allocation problem. There is a fixed amount of daily to construct separable approximations to the value functions. We use the value function approximations for two

  7. Sensitivity Analysis of a Dynamic Fleet Management Model Using Approximate Dynamic Programming

    E-Print Network [OSTI]

    Topaloglu, Huseyin

    of fleet management models is to make the vehicle repositioning and vehicle-to-load assignment decisions soSensitivity Analysis of a Dynamic Fleet Management Model Using Approximate Dynamic Programming present tractable algorithms to assess the sensitivity of a stochastic dynamic fleet management model

  8. INDDGO: Integrated Network Decomposition & Dynamic programming for Graph Optimization

    SciTech Connect (OSTI)

    Groer, Christopher S; Sullivan, Blair D; Weerapurage, Dinesh P

    2012-10-01

    It is well-known that dynamic programming algorithms can utilize tree decompositions to provide a way to solve some \\emph{NP}-hard problems on graphs where the complexity is polynomial in the number of nodes and edges in the graph, but exponential in the width of the underlying tree decomposition. However, there has been relatively little computational work done to determine the practical utility of such dynamic programming algorithms. We have developed software to construct tree decompositions using various heuristics and have created a fast, memory-efficient dynamic programming implementation for solving maximum weighted independent set. We describe our software and the algorithms we have implemented, focusing on memory saving techniques for the dynamic programming. We compare the running time and memory usage of our implementation with other techniques for solving maximum weighted independent set, including a commercial integer programming solver and a semi-definite programming solver. Our results indicate that it is possible to solve some instances where the underlying decomposition has width much larger than suggested by the literature. For certain types of problems, our dynamic programming code runs several times faster than these other methods.

  9. Analysis of Stochastic Dual Dynamic Programming Method

    E-Print Network [OSTI]

    2010-05-29

    Abstract. In this paper we discuss statistical properties and convergence of the .... For a ? R, [a]+ := max{0,a}. ... Problem (2.2) is a linear programming problem.

  10. Pin: Building Customized Program Analysis Tools with Dynamic Instrumentation

    E-Print Network [OSTI]

    Hazelwood, Kim

    Pin: Building Customized Program Analysis Tools with Dynamic Instrumentation Chi-Keung Luk Robert.project@intel.com Abstract Robust and powerful software instrumentation tools are essential for program analysis tasks instrumentation system called Pin. Our goals are to pro- vide easy-to-use, portable, transparent, and efficient

  11. Dynamic Currency Determination in Optimized Programs

    E-Print Network [OSTI]

    Dhamdhere, Dhananjay Madhav

    problem is to find a mapping between statements in a source program and instructions in an object program. Such a mapping is needed to set breakpoints, while a converse mapping is needed to report the location of run- K, Department of Computer Science and Engineering, Indian Institute of Technology, Bombay, Mumbai 400 076 India

  12. 3 MICROSIMULATING AUTOMOBILE MARKETS: 4 EVOLUTION OF VEHICLE HOLDINGS AND VEHICLE-PRICING DYNAMICS

    E-Print Network [OSTI]

    Kockelman, Kara M.

    . All available vehicles 35 compete directly, with demand, supply and price signals endogenous and reasonable response to multiple inputs, as well as potential 40 implementation issues. 41 42 INTRODUCTION 43 aggregate or disaggregate level using microsimulation. Several researchers have attempted to do55 this (e

  13. Electricity price impacts of alternative Greenhouse gas emission cap-and-trade programs

    SciTech Connect (OSTI)

    Edelston, Bruce; Armstrong, Dave; Kirsch, Laurence D.; Morey, Mathew J.

    2009-07-15

    Limits on greenhouse gas emissions would raise the prices of the goods and services that require such emissions for their production, including electricity. Looking at a variety of emission limit cases and scenarios for selling or allocating allowances to load-serving entities, the authors estimate how the burden of greenhouse gas limits are likely to be distributed among electricity consumers in different states. (author)

  14. Essays on pricing under uncertainty 

    E-Print Network [OSTI]

    Escobari Urday, Diego Alfonso

    2008-10-10

    This dissertation analyzes pricing under uncertainty focusing on the U.S. airline industry. It sets to test theories of price dispersion driven by uncertainty in the demand by taking advantage of very detailed information about the dynamics...

  15. Approximate Dynamic Programming for Networks: Fluid Models and Constraint Reduction

    E-Print Network [OSTI]

    Veatch, Michael H.

    of approximating functions for the differential cost. The first contribution of this paper is identifying new or piece-wise quadratic. Fluid cost has been used to initialize the value iteration algorithm [5Approximate Dynamic Programming for Networks: Fluid Models and Constraint Reduction Michael H

  16. Approximate Dynamic Programming in Transportation and Logistics: A Unified Framework

    E-Print Network [OSTI]

    Powell, Warren B.

    Approximate Dynamic Programming in Transportation and Logistics: A Unified Framework Warren B Engineering Princeton University, Princeton, NJ 08544 European J. of Transportation and Logistics, Vol. 1, No optimization has enjoyed a rich place in transportation and logistics, where it repre- sents a mature field

  17. Abstract--A key component of the smart grid is the ability to enable dynamic residential pricing to incentivize the customer

    E-Print Network [OSTI]

    Sapatnekar, Sachin

    Abstract-- A key component of the smart grid is the ability to enable dynamic residential pricing, Multiple Knapsack Problem (MKP), Optimization, Smart Grids. I. INTRODUCTION With ever challenge to the future electricity distribution systems. The smart grid has emerged as a solution

  18. Rethinking Real Time Electricity Pricing

    E-Print Network [OSTI]

    Allcott, Hunt

    Most US consumers are charged a near-constant retail price for electricity, despite substantial hourly variation in the wholesale market price. This paper evaluates the .rst program to expose residential consumers to hourly ...

  19. Beyond the Price Effect in Time-of-Use Programs: Results from a Municipal Utility Pilot, 2007-2008

    SciTech Connect (OSTI)

    Lutzenhiser, Susan; Peters, Jane; Moezzi, Mithra; Woods, James

    2009-08-12

    This paper discusses results of a two-year collaborative research project between the authors and the Demand Response Research Center focused on behavioral response to a voluntary time-of-use pilot rate offered by the Sacramento Municipal Utilities District (SMUD) under the PowerChoice label. The project had two purposes: one was to assess the potential for increasing demand response through the introduction of enhanced information and real-time consumption feedback; the second was to better understand behavioral response to a TOU rate. Three successive waves of telephone surveys collected details about reasons for participation, actions taken, capacities and constraints to altering behavior, and a range of salient conditions, such as demographics and dwelling characteristics. Pre- and post-program interval meter data for participants and a comparison sample of households were also collected and analyzed to consider initial and season-change price effects of the rate and the effect of supplemental information treatments on response. Over half of surveyed participating households reported that they had made a great deal of effort to adjust their electricity consumption to the rate. Despite this, load data analysis revealed only minimal price effects; and, though households subjected to information treatments seemed to have learned from these treatments, load data analysis again detected only minimal effects on load. Given the currently high hopes for behavioral intervention and residential TOU rates, these unexpected results require explanation. We suggest a number of possibilities and discuss some implications for TOU programs, and for understanding demand response behavior and approaches to experiments with TOU rates.

  20. Essays on the household-level effects of house price growth

    E-Print Network [OSTI]

    Sitgraves, Claudia Ayanna

    2009-01-01

    Constructing measures of house price variance . . . . 2.4.4Flip That House? House Price Dynamics and Housing InvestmentHouse Price Data . . . . . . . . . . . . . . . . . . . . .

  1. Edgeworth Price Cycles, Cost-based Pricing and Sticky Pricing in Retail Gasoline Markets

    E-Print Network [OSTI]

    Noel, Michael

    2004-01-01

    Robbery, An Analysis of the Gasoline Crisis”, Bloomington:Dynamic Pricing in Retail gasoline Markets”, RAND Journal ofR. Gilbert. “Do Gasoline Markets Respond Asymmetrically to

  2. Edgeworth Price Cycles, Cost-based Pricing and Sticky Pricing in Retail Gasoline Markets

    E-Print Network [OSTI]

    Noel, Michael

    2004-01-01

    Dynamic Pricing in Retail gasoline Markets”, RAND Journal ofin the Canadian Retail Gasoline Market”, Energy Economics [Associates. “Canadian Retail Petroleum Markets Study”, Re-

  3. Dynamic Programming Dynamic Programming is a generic method to design algorithms. It constructs the

    E-Print Network [OSTI]

    Wu, Xiaolin

    correctly computed for 0 i pseudo-code computes S(N) correctly. 3 #12;Dynamic], as follows: 6 #12;· The Pseudo-code (Suppose S[N] is true.) Backtrace(N, S[0..N]) 1. i N 2. while(i > 0) 3

  4. Better Buildings Neighborhood Program Workforce Peer Exchange...

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

    Neighborhood Program Workforce Peer Exchange Call: Contractor Pricing Better Buildings Neighborhood Program Workforce Peer Exchange Call: Contractor Pricing Better Buildings...

  5. A Dynamic Programming Approach to the Parisi Functional

    E-Print Network [OSTI]

    Aukosh Jagannath; Ian Tobasco

    2015-09-01

    G.\\ Parisi predicted an important variational formula for the thermodynamic limit of the intensive free energy for a class of mean field spin glasses. In this paper, we present an elementary approach to the study of the Parisi functional using stochastic dynamic programing and semi-linear PDE. We give a derivation of important properties of the Parisi PDE avoiding the use of Ruelle Probability Cascades and Cole-Hopf transformations. As an application, we give a simple proof of the strict convexity of the Parisi functional, which was recently proved by Auffinger and Chen in \\cite{AuffChen14}.

  6. Implications of Cost Effectiveness Screening Practices in a Low Natural Gas Price Environment: Case Study of a Midwestern Residential Energy Upgrade Program

    E-Print Network [OSTI]

    Hoffman, Ian M.

    2014-01-01

    Practices in a Low Natural Gas Price Environment: Case Studyin the new low natural gas price environment. Regulators arelow to moderate natural gas prices, and a second assessing

  7. Need-based Communication for Smart Grid: When to Inquire Power Price?

    E-Print Network [OSTI]

    Li, Husheng

    2010-01-01

    In smart grid, a home appliance can adjust its power consumption level according to the realtime power price obtained from communication channels. Most studies on smart grid do not consider the cost of communications which cannot be ignored in many situations. Therefore, the total cost in smart grid should be jointly optimized with the communication cost. In this paper, a probabilistic mechanism of locational margin price (LMP) is applied and a model for the stochastic evolution of the underlying load which determines the power price is proposed. Based on this framework of power price, the problem of determining when to inquire the power price is formulated as a Markov decision process and the corresponding elements, namely the action space, system state and reward function, are defined. Dynamic programming is then applied to obtain the optimal strategy. A simpler myopic approach is proposed by comparing the cost of communications and the penalty incurred by using the old value of power price. Numerical resul...

  8. An approximate dynamic programming approach to risk sensitive control of execution costs

    E-Print Network [OSTI]

    Jeria, David (David O. Jeria López)

    2009-01-01

    We study the problem of optimal execution within a dynamic programming framework. Given an exponential objective function, system variables which are normally distributed, and linear market dynamics, we derive a closed ...

  9. The Right-Price Consultants Julie Swann

    E-Print Network [OSTI]

    Swann, Julie L.

    The Right-Price Consultants Julie Swann October 2002 To appear in Cases in Revenue Management Eds, a number of industries have turned towards innovative pricing strategies such as revenue management or dynamic pricing to manage their inventory effectively. Firms are employing such varied tools as dynamic

  10. Dynamic Line Rating Oncor Electric Delivery Smart Grid Program

    SciTech Connect (OSTI)

    Johnson, Justin; Smith, Cale; Young, Mike; Donohoo, Ken; Owen, Ross; Clark, Eddit; Espejo, Raul; Aivaliotis, Sandy; Stelmak, Ron; Mohr, Ron; Barba, Cristian; Gonzalez, Guillermo; Malkin, Stuart; Dimitrova, Vessela; Ragsdale, Gary; Mitchem, Sean; Jeirath, Nakul; Loomis, Joe; Trevino, Gerardo; Syracuse, Steve; Hurst, Neil; Mereness, Matt; Johnson, Chad; Bivens, Carrie

    2013-05-04

    Electric transmission lines are the lifeline of the electric utility industry, delivering its product from source to consumer. This critical infrastructure is often constrained such that there is inadequate capacity on existing transmission lines to efficiently deliver the power to meet demand in certain areas or to transport energy from high-generation areas to high-consumption regions. When this happens, the cost of the energy rises; more costly sources of power are used to meet the demand or the system operates less reliably. These economic impacts are known as congestion, and they can amount to substantial dollars for any time frame of reference: hour, day or year. There are several solutions to the transmission constraint problem, including: construction of new generation, construction of new transmission facilities, rebuilding and reconductoring of existing transmission assets, and Dynamic Line Rating (DLR). All of these options except DLR are capital intensive, have long lead times and often experience strong public and regulatory opposition. The Smart Grid Demonstration Program (SGDP) project co-funded by the Department of Energy (DOE) and Oncor Electric Delivery Company developed and deployed the most extensive and advanced DLR installation to demonstrate that DLR technology is capable of resolving many transmission capacity constraint problems with a system that is reliable, safe and very cost competitive. The SGDP DLR deployment is the first application of DLR technology to feed transmission line real-time dynamic ratings directly into the system operation’s State Estimator and load dispatch program, which optimizes the matching of generation with load demand on a security, reliability and economic basis. The integrated Dynamic Line Rating (iDLR)1 collects transmission line parameters at remote locations on the lines, calculates the real-time line rating based on the equivalent conductor temperature, ambient temperature and influence of wind and solar radiation on the stringing section, transmits the data to the Transmission Energy Management System, validates its integrity and passes it on to Oncor and ERCOT (Electric Reliability Council of Texas) respective system operations. The iDLR system is automatic and transparent to ERCOT System Operations, i.e., it operates in parallel with all other system status telemetry collected through Supervisory Control and Data Acquisition (SCADA) employed across the company.

  11. Cheese Prices 

    E-Print Network [OSTI]

    Schwart Jr., Robert B.; Anderson, David P.; Knutson, Ronald D.

    2003-08-25

    Cheese prices are derived from the USDA Agricultural Marketing Service Market News, the National Agricultural Statistics Service, and the Chicago Mercantile Exchange. This publication explains the process of cheese pricing. It includes information...

  12. Milk Pricing 

    E-Print Network [OSTI]

    Anderson, David P.; Haigh, Michael; Stockton, Matthew; Schwart Jr., Robert B.

    2001-09-10

    This publication discusses the federal orders that govern the marketing of milk. The production location and form of the milk product affect the way it is priced. The different classes of milk and their prices are explained in detail....

  13. Essays on Price Dynamics

    E-Print Network [OSTI]

    Hong, Gee Hee

    2012-01-01

    market power resulting in higher cost pass-through and more frequent retail (retail and wholesale) and allowing us to easily identify transactions where the manufacturer has more or less market power (

  14. Class Pricing

    E-Print Network [OSTI]

    Wernerfelt, Birger

    2008-01-15

    A contract with K-class pricing divides a large set of goods or services into K classes and assigns a single price to any element of a class. Class pricing can be efficient when several different versions may be traded and ...

  15. Adequacy Assessment in Power Systems Using Genetic Algorithm and Dynamic Programming 

    E-Print Network [OSTI]

    Zhao, Dongbo

    2011-02-22

    Page B. The Simplification of Adequacy Assessment Model ................ 45 C. Dynamic Programming for Adequacy Assessment ................... 46 D. An Example Showing the Process of the Algorithm...] ....................................................... 41 9 Road Network [15] (Example 2) ................................................................ 42 10 Success Probability Pruned by Dynamic Programming vs. Time ............. 59 11 Success Probability Pruned by Monte Carlo Simulation...

  16. Parallel Dynamic Programming for Solving the String Editing Problem on a CGM/BSP

    E-Print Network [OSTI]

    Song, Siang Wun

    Parallel Dynamic Programming for Solving the String Editing Problem on a CGM/BSP C. E. R. Alves, string editing, dynamic programming, CGM, BSP # Partially supported by CNPq and FINEP­PRONEX­SAI Proc. No. net ABSTRACT In this paper we present a coarse­grained parallel algorithm for solving the string edit

  17. Parallel Dynamic Programming for Solving the String Editing Problem on a CGM/BSP

    E-Print Network [OSTI]

    Dehene, Frank

    Parallel Dynamic Programming for Solving the String Editing Problem on a CGM/BSP C. E. R. Alves present a coarse-grained parallel algorithm for solving the string edit distance problem for a string A and all substrings of a string C. Our method is based on a novel CGM/BSP parallel dynamic programming

  18. Los Alamos Dynamics Summer School-Past Programs

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

    and Software Research Projects Current Collaborations Past Collaborations NSEC Engineering Institute Los Alamos Dynamics Summer School Los Alamos Dynamics Summer School...

  19. On the global economic potentials and marginal costs of non-renewable resources and the price dynamics of energy commodities

    E-Print Network [OSTI]

    Mercure, Jean-Francois

    2013-01-01

    A model is presented in this work for simulating endogenously the evolution of the marginal costs of production of energy carriers from non-renewable resources, their consumption, depletion pathways and timescales. Such marginal costs can be used to simulate the long term average price formation of energy commodities. Drawing on previous work where a global database of energy resource economic potentials was constructed, this work uses cost distributions of non-renewable resources in order to evaluate global flows of energy commodities. A mathematical framework is given to calculate endogenous flows of energy resources given an exogenous commodity price path. This framework can be used in reverse in order to calculate an exogenous marginal cost of production of energy carriers given an exogenous carrier demand. Using rigid price inelastic assumptions independent of the economy, these two approaches generate limiting scenarios that depict extreme use of natural resources. This is useful to characterise the cur...

  20. 13 CHAPTER XIII: PRICE ENDOGENOUS MODELING 13 CHAPTER XIII: PRICE ENDOGENOUS MODELING ................................................... 1

    E-Print Network [OSTI]

    McCarl, Bruce A.

    13 CHAPTER XIII: PRICE ENDOGENOUS MODELING 13 CHAPTER XIII: PRICE ENDOGENOUS MODELING.................................................................................................................... 16 #12;13.1 Introduction A common economic application of nonlinear programming involves price endogenous models. In the standard LP model, input and output prices or quantities are assumed fixed

  1. Benchmarking a Scalable Approximate Dynamic Programming Algorithm for Stochastic Control

    E-Print Network [OSTI]

    Powell, Warren B.

    wind supply, demand and electricity prices may evolve stochastically. We found that the algorithm and within 1.34% in stochastic ones, much lower than those obtained using model predictive control. We use received significant attention as a way to increase the efficiency of the electrical grid by smoothing

  2. Strategies for coupling energy simulation and computational fluid dynamics programs

    E-Print Network [OSTI]

    Zhai, Zhiqiang; Chen, Qingyan; Klems, Joseph H.; Haves, Philip

    2001-01-01

    2000. “EnergyPlus: Energy Simulation Program” . ASHRAEA Coupled Airflow-and-Energy Simulation Program for IndoorSTRATEGIES FOR COUPLING ENERGY SIMULATION AND COMPUTATIONAL

  3. Implications of Cost Effectiveness Screening Practices in a Low Natural Gas Price Environment: Case Study of a Midwestern Residential Energy Upgrade Program

    E-Print Network [OSTI]

    Hoffman, Ian M.

    2014-01-01

    Practices in a Low Natural Gas Price Environment: Case Studyare now resulting in some natural gas efficiency programscriteria in the new low natural gas price environment.

  4. A hybrid static/dynamic approach to scheduling stream programs

    E-Print Network [OSTI]

    Tan, Ceryen (Ceryen C.)

    2009-01-01

    Streaming languages such as Streamlt are often utilized to write stream programs that execute on multicore processors. Stream programs consist of actors that operate on streams of data. To execute on multiple cores, actors ...

  5. Dynamic Programming and Graph Algorithms in Computer Vision Pedro F. Felzenszwalb and Ramin Zabih

    E-Print Network [OSTI]

    Field, David

    : Combinatorial Algorithms, Vision and Scene Understanding, Artificial Intelligence, Computing Methodologies 1Dynamic Programming and Graph Algorithms in Computer Vision Pedro F. Felzenszwalb and Ramin Zabih, and has been successfully applied to many vision problems. Discrete optimization techniques are especially

  6. Secure Program Execution Via Dynamic Information Flow Tracking

    E-Print Network [OSTI]

    Suh, G. Edward

    2003-07-21

    We present a simple architectural mechanism called dynamicinformation flow tracking that can significantly improve thesecurity of computing systems with negligible performanceoverhead. Dynamic information flow tracking ...

  7. Real-time Pricing Demand Response in Operations

    SciTech Connect (OSTI)

    Widergren, Steven E.; Marinovici, Maria C.; Berliner, Teri; Graves, Alan

    2012-07-26

    Abstract—Dynamic pricing schemes have been implemented in commercial and industrial application settings, and recently they are getting attention for application to residential customers. Time-of-use and critical-peak-pricing rates are in place in various regions and are being piloted in many more. These programs are proving themselves useful for balancing energy during peak periods; however, real-time (5 minute) pricing signals combined with automation in end-use systems have the potential to deliver even more benefits to operators and consumers. Besides system peak shaving, a real-time pricing system can contribute demand response based on the locational marginal price of electricity, reduce load in response to a generator outage, and respond to local distribution system capacity limiting situations. The US Department of Energy (DOE) is teaming with a mid-west electricity service provider to run a distribution feeder-based retail electricity market that negotiates with residential automation equipment and clears every 5 minutes, thus providing a signal for lowering or raising electric consumption based on operational objectives of economic efficiency and reliability. This paper outlines the capability of the real-time pricing system and the operational scenarios being tested as the system is rolled-out starting in the first half of 2012.

  8. SF 6432-LA Fixed Price Latin America

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

    CORPORATION SF 6432-LA (112015) SECTION II STANDARD TERMS AND CONDITIONS FOR FIXED PRICE CONTRACTS RENEWABLE ENERGY PROGRAMS IN LATIN AMERICAN COUNTRIES THE FOLLOWING CLAUSES...

  9. 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

  10. Risk-Averse Dynamic Programming for Markov Decision Processes?

    E-Print Network [OSTI]

    2009-12-20

    ?Presented at the 20th International Symposium on Mathematical Programming, ... discuss relations of our results to min-max Markov decision problems.

  11. Desynchronized Multi-State Abstractions for Open Programs in Dynamic Languages

    E-Print Network [OSTI]

    Chang, Bor-Yuh Evan

    INRIA/CNRS/ENS Paris, xavier.rival@ens.fr Abstract. Dynamic language library developers face a challenging problem: ensuring that their libraries will behave correctly for a wide variety of client programs without having access to those client programs. This problem stems from the common use of two defining

  12. A NONGAUSSIAN ORNSTEINUHLENBECK PROCESS FOR ELECTRICITY SPOT PRICE MODELING AND

    E-Print Network [OSTI]

    Kallsen, Jan

    A NON­GAUSSIAN ORNSTEIN­UHLENBECK PROCESS FOR ELECTRICITY SPOT PRICE MODELING AND DERIVATIVES for analytical pricing of electricity forward and futures contracts. Electricity forward and futures contracts to capture the observed dynamics of electricity spot prices. We also discuss the pricing of European call

  13. Asymmetric Price Adjustment and Consumer Search: An Examination of the Retail Gasoline Market

    E-Print Network [OSTI]

    Lewis, Matt

    2004-01-01

    and R. Gilbert (1997) “Do Gasoline Prices Respond Asymmet-George. (2004) “Retail Gasoline Price Dynamics and LocalAsymmetries in Local Gasoline Markets” Energy Economics

  14. STATIC SECTORIZATION APPROACH TO DYNAMIC AIRSPACE CONFIGURATION USING APPROXIMATE DYNAMIC PROGRAMMING

    E-Print Network [OSTI]

    1 STATIC SECTORIZATION APPROACH TO DYNAMIC AIRSPACE CONFIGURATION USING APPROXIMATE DYNAMIC to Dynamic Airspace Configuration (DAC) by static sectorization. The objective of this paper is to address the issue of static sectorization by partitioning airspace based on controller workload i.e. airspace

  15. Analysis of road pricing, metering and the priority treatment of high occupancy vehicles using system dynamics. Master's thesis

    SciTech Connect (OSTI)

    Castillo, W.

    1992-01-01

    Transportation Systems Management (TSM) employs various techniques such as road pricing, metering and the priority treatment of high occupancy vehicles (HOVs) in an effort to make more efficient use of existing transportation facilities. Efficiency is improved in terms of moving more people through the facility while simultaneously reducing the number of vehicles using the facility. This report uses a hypothetical toll facility and examines four computer modeling approaches to determine which of the approaches are valid in terms of predicting the behavior of trip makers seeking to use the facility in response to various combinations of TSM techniques. Once an approach has been determined to be valid, seven different combination of TSM techniques, or strategies, are compared to a base strategy to determine what strategy or strategies are most affective in achieving the goals of TSM.

  16. Why are allowance prices so low? An analysis of the SO{sub 2} emissions trading program

    SciTech Connect (OSTI)

    Ellerman, A.D.; Montero, J.P.

    1997-12-31

    This paper presents an analysis of the reduction in SO{sub 2} emissions by electric utilities between 1985 and 1993. We find that, as of 1993, emissions had been reduced for reasons largely unrelated to the emission reduction mandate incorporated in Title IV of the 1990 Clean Air Act Amendments. The principal reason appears to be the change in the economics of coal choice that resulted from the remarkable decline in rail rates for low sulfur western coal delivered to higher sulfur coal-fired plants in the Midwest. Consequently, one of the reasons that allowance prices are lower than expected is that less sulfur need be removed to meet the Title IV caps on aggregate SO{sub x} emissions.

  17. Better Buildings Neighborhood Program Workforce Peer Exchange...

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

    for other work done 10192012 5 Discussion: How Does Your Program Approach Contractor Pricing? (Cont.) * Program sets price for initial work (Michigan): Uses whole home...

  18. Price Incentives for Fuel Switching: Did Price Differences Slow the Phase-Out of Leaded

    E-Print Network [OSTI]

    California at Berkeley. University of

    the potential e®ects of price incentives on the fuel switching process. In the U.S., these e®ects have beenPWP-010 Price Incentives for Fuel Switching: Did Price Differences Slow the Phase-Out of Leaded on Workable Energy Regulation (POWER). POWER is a program of the University of California Energy Institute

  19. On the stability of wholesale electricity markets under real-time pricing

    E-Print Network [OSTI]

    Roozbehani, Mardavij

    The paper proposes a mathematical model for the dynamic evolution of supply, demand, and clearing prices under a class of real-time pricing mechanisms characterized by passing on the real-time wholesale prices to the end ...

  20. Pacific Adaptation Strategy Assistance Program Dynamical Seasonal Forecasting

    E-Print Network [OSTI]

    Lim, Eun-pa

    Adaptation Strategy Assistance Program El Nino Mean State · Easterlies westward surface current upwelling warmer & thermocline is deep eastward undercurrent El Nino ·+ve Bjerknes feedback Easterlies break down and Kelvin wavesEl Nino Equatorial Kelvin wave Off-equatorial Rossby wave #12;Pacific Adaptation Strategy

  1. The Burgers Program for Fluid Dynamics Eighth Annual Symposium

    E-Print Network [OSTI]

    Maryland at College Park, University of

    and Technology, Department of Physics, College of Computer, Mathematical, and Natural Sciences Program 1:00 ­ 1:00 to 6:30 p.m. Jeong H. Kim Engineering Building Rooms 1107 & 1111 Institute for Physical Science of Akron, USA Polymer solutions under shear flow, grafted chains in dense polymer brushes, and adsorbed

  2. A Parallelizable and Approximate Dynamic Programming-Based Dynamic Fleet Management Model with

    E-Print Network [OSTI]

    Topaloglu, Huseyin

    -based dynamic fleet management model that can handle random load arrivals, random travel times and multiple-based model for the dynamic fleet management problem with random load arrivals, random travel times-based models for fleet management problems with random load arrivals, deterministic travel times and a single

  3. Volatility of Power Grids Under Real-Time Pricing

    E-Print Network [OSTI]

    Roozbehani, Mardavij

    The paper proposes a framework for modeling and analysis of the dynamics of supply, demand, and clearing prices in power systems with real-time retail pricing and information asymmetry. Characterized by passing on the ...

  4. Forecasting the Hourly Ontario Energy Price by Multivariate Adaptive Regression Splines

    E-Print Network [OSTI]

    Cañizares, Claudio A.

    for forecasting the Spanish electricity market prices. On the other hand, ARIMA, dynamic regression and transfer been used to forecast the Spanish market prices [7], [9], Californian market prices [9], Leipzig power have been used for forecasting the Spanish and Californian market prices [11] and the PJM market prices

  5. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01

    2004. “OPEC’s Optimal Crude Oil Price,” Energy Policy 32(2),percent change in real oil price. Figure 3. Price of crude023 Understanding Crude Oil Prices James D. Hamilton June

  6. A new shared-memory programming paradigm for molecular dynamics simulations on the Intel Paragon

    SciTech Connect (OSTI)

    D`Azevedo, E.F.; Romine, C.H.

    1994-12-01

    This report describes the use of shared memory emulation with DOLIB (Distributed Object Library) to simplify parallel programming on the Intel Paragon. A molecular dynamics application is used as an example to illustrate the use of the DOLIB shared memory library. SOTON-PAR, a parallel molecular dynamics code with explicit message-passing using a Lennard-Jones 6-12 potential, is rewritten using DOLIB primitives. The resulting code has no explicit message primitives and resembles a serial code. The new code can perform dynamic load balancing and achieves better performance than the original parallel code with explicit message-passing.

  7. TRACE3D. Interactive Beam-Dynamics Program

    SciTech Connect (OSTI)

    Singleton, L.; Yao, C.Y.

    1993-12-01

    TRACE3D is an interactive program that calculates the envelopes of a bunched beam, including linear space-charge forces, through a user-defined system. The transport system may consist of the following elements: drift, thin lens, quadrupole, permanent magnet quadrupole, solenoid, doublet, triplet, bending magnet, edge angle (for bend), RF gap, radio-frequency-quadrupole cell, RF cavity, coupled-cavity tank, user-desired element, coordinate rotation, and identical element. The beam is represented by a 6X6 matrix defining a hyper-ellipsoid in six-dimensional phase space. The projection of this hyperellipsoid on any two-dimensional plane is an ellipse that defines the boundary of the beam in that plane.

  8. Reactive power control of grid-connected wind farm based on adaptive dynamic programming

    E-Print Network [OSTI]

    He, Haibo

    Reactive power control of grid-connected wind farm based on adaptive dynamic programming Yufei Tang and integration with the grid. This controller can effectively dampen the oscillation of the wind farm system under grid fault. In general, there are mainly three kinds of wind power generators: squirrel

  9. Revenue Management in a Job-Shop: A Dynamic Programming Approach

    E-Print Network [OSTI]

    Magdeburg, Universität

    predefined time periods in manufacturing systems (Sterna (2000)) or recently in revenue management (McRevenue Management in a Job-Shop: A Dynamic Programming Approach Jacek Bla ewicz Institute of Computing Science Pozna¡ University of Technology Piotrowo 3A, 60-965 Pozna¡ , Poland e-mail: blazewic

  10. Automated Lung Nodule Segmentation Using Dynamic Programming and EM Based Classification

    E-Print Network [OSTI]

    Ahuja, Narendra

    Automated Lung Nodule Segmentation Using Dynamic Programming and EM Based Classification Ning Xua a robust and automated algorithm to segment lung nodules in three dimensional (3D) Computed Tomography (CT nodules but also the nodules attached to lung walls and vessels. Keywords: Lung nodule, Segmentation

  11. Approximate Dynamic Programming Methods for an Inventory Allocation Problem under Uncertainty

    E-Print Network [OSTI]

    Topaloglu, Huseyin

    dynamic programming methods to optimize the distribution oper- ations of a company manufacturing a certain production plants. However, managing these types of supply chains requires careful planning. When planning inventory levels, forecasts of future production quantities and forecasts of customer demands. The decisions

  12. What drives option prices? Frdric Abergel1

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    . The study reveals that while the modeling of stochastic volatility gives more robust models, the market does 2 Theoretical framework 4 3 Intraday joint dynamics of option and underlying prices 5 3.1 EppsWhat drives option prices? Frédéric Abergel1 and Riadh Zaatour2 Chair of Quantitative Finance Ecole

  13. The Speed of Gasoline Price Response in Markets With and Without Edgeworth Cycles

    E-Print Network [OSTI]

    Lewis, Matt; Noel, Michael

    2009-01-01

    Retail Gasoline Price Dynamics and Local Market Power,”of Local Market Power? Evidence from the Retail Gasoline

  14. Edgeworth Price Cycles: Evidence from the Toronto Retail Gasoline Market

    E-Print Network [OSTI]

    Noel, Michael

    2004-01-01

    Robbery, An Analysis of the Gasoline Crisis”, Bloomington:Dynamic Pricing in Retail gasoline Markets”, RAND Journal ofR. Gilbert. “Do Gasoline Markets Respond Asymmetrically to

  15. Edgeworth price cycles in retail gasoline markets

    E-Print Network [OSTI]

    Noel, Michael David, 1971-

    2002-01-01

    In this dissertation, I present three essays that are motivated by the interesting and dynamic price-setting behavior of firms in Canadian retail gasoline markets. In the first essay, I examine behavior at the market level ...

  16. Fuel Price Forecasts INTRODUCTION

    E-Print Network [OSTI]

    Fuel Price Forecasts INTRODUCTION Fuel prices affect electricity planning in two primary ways and water heating, and other end-uses as well. Fuel prices also influence electricity supply and price turbines. This second effect is the primary use of the fuel price forecast for the Council's Fifth Power

  17. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 24 NO. 3 May/June 2006 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  18. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 24 NO. 4 July/August 2006 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  19. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 23 NO. 3 May/June 2005 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  20. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 23 NO. 5 September/October 2005 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  1. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 25 NO. 4 July/August 2007 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  2. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 23 NO. 6 November/December 2005 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  3. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 22 NO. 5 September/October 2004 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  4. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 24 NO. 1 January/February 2006 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  5. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 22 NO. 2 March/April 2004 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  6. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 23 NO. 4 July/August 2005 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  7. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 25 NO. 3 May/June 2007 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  8. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 24 NO. 6 November/December 2006 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  9. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 24 NO. 2 March/April 2006 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  10. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 22 NO. 4 July/August 2004 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  11. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 21 NO. 5 September/October 2003 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  12. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 22 NO. 1 January/February 2004 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  13. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 23 NO. 1 January/February 2005 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  14. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 25 NO. 1 January/February 2007 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  15. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 25 NO. 2 March/April 2007 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  16. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 21 NO. 6 November/December 2003 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  17. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 22 NO. 6 November/December 2004 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  18. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 22 NO. 3 May/June 2004 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  19. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 24 NO. 5 September/October 2006 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  20. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 23 NO. 2 March/April 2005 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  1. Price controls and international petroleum product prices

    SciTech Connect (OSTI)

    Deacon, R.T.; Mead, W.J.; Agarwal, V.B.

    1980-02-01

    The effects of Federal refined-product price controls upon the price of motor gasoline in the United States through 1977 are examined. A comparison of domestic and foreign gasoline prices is made, based on the prices of products actually moving in international trade. There is also an effort to ascribe US/foreign market price differentials to identifiable cost factors. Primary emphasis is on price comparisons at the wholesale level, although some retail comparisons are presented. The study also examines the extent to which product price controls are binding, and attempts to estimate what the price of motor gasoline would have been in the absence of controls. The time period under consideration is from 1969 through 1977, with primary focus on price relationships in 1970-1971 (just before US controls) and 1976-1977. The foreign-domestic comparisons are made with respect to four major US cities, namely, Boston, New York, New Orleans, and Los Angeles. 20 figures, 14 tables.

  2. The Economic Impact of Network Pricing Errin W. Fulp1

    E-Print Network [OSTI]

    Reeves, Douglas S.

    in a fair and cost-effective manner. It has been demonstrated that pricing is an effective method complexity associated with a dynamic or spot price, even though it may result in lower costs [10]. In contrast, fixed prices provide predictable costs; however, there is no incentive for the user to curtail

  3. Steam Pricing 

    E-Print Network [OSTI]

    Jones, K. C.

    1986-01-01

    stream_source_info ESL-IE-86-06-19.pdf.txt stream_content_type text/plain stream_size 30463 Content-Encoding ISO-8859-1 stream_name ESL-IE-86-06-19.pdf.txt Content-Type text/plain; charset=ISO-8859-1 STEAM PRICING... Kenneth C. Jones Shell Oil Company Houston, Texas ABSTRACT Steam is used in many plants to furnish both heat and mechanical energy. It is typically produced in several fired boilers which may operate at different pressures and with different...

  4. A Dynamic Programming Approach to Estimate the Capacity Value of Energy Storage

    Broader source: Energy.gov [DOE]

    We present a method to estimate the capacity value of storage. Our method uses a dynamic program to model the effect of power system outages on the operation and state of charge of storage in subsequent periods. We combine the optimized dispatch from the dynamic program with estimated system loss of load probabilities to compute a probability distribution for the state of charge of storage in each period. This probability distribution can be used as a forced outage rate for storage in standard reliability-based capacity value estimation methods. Our proposed method has the advantage over existing approximations that it explicitly captures the effect of system shortage events on the state of charge of storage in subsequent periods. We also use a numerical case study, based on five utility systems in the U.S., to demonstrate our technique and compare it to existing approximation methods.

  5. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01

    2004. “OPEC’s Optimal Crude Oil Price,” Energy Policy 32(2),the Predictive Accuracy of Crude Oil Futures Prices,” EnergyFigure 3. Price of crude oil contract maturing December of

  6. Overshooting of agricultural prices

    E-Print Network [OSTI]

    Stamoulis, Kostas G.; Rausser, Gordon C.

    1987-01-01

    Rotenberg, Julio J. , "Sticky Prices in the United States,"Monetary Policy on United States Agriculture. A Fix-Price,Flex-Price Approach," Unpublished Ph.D. Disser- tation,

  7. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01

    2004. “OPEC’s Optimal Crude Oil Price,” Energy Policy 32(2),023 Understanding Crude Oil Prices James D. Hamilton Junedirectly. Understanding Crude Oil Prices* James D. Hamilton

  8. Probabilistic Choice Models for Product Pricing using Reservation ...

    E-Print Network [OSTI]

    2007-02-03

    Feb 1, 2007 ... purchase a product can be swayed by the relative prices of similar ...... power of integer and convex nonlinear programming techniques and we ...

  9. Plutonium Certified Reference Materials Price List | U.S. DOE...

    Office of Science (SC) Website

    Laboratory (NBL) NBL Home About Programs Certified Reference Materials (CRMs) Prices and Certificates Ordering Information Training NEPA Documents News Safety Data Sheets...

  10. International transmission of oil price effects and the derivation of optimal oil prices

    SciTech Connect (OSTI)

    Marquez, J.R.

    1983-01-01

    The purpose of this dissertation is to study the international transmission of oil-price effects and the derivation of optimal oil prices not as two separate problems but rather as one problem by recognizing that changes in oil prices affect real income of oil importers and thus feed back to the demand for oil faced by OPEC. To study the international transmission of oil price changes, the author develops a three-region world model where real income, prices, and international trade are endogenously determined. With this model he derives the comparative statics of oil price changes. He also analyzes the feedback effect of oil price changes, allowing for counterinflationary policies in oil-importing countries. A modified version of the theoretical model is econometrically estimated with data for 1960-1979. The quantitative dimension of oil price changes using dynamic multipliers is studied. Also studied are the impacts of restrictive fiscal policy in DC's, greater absorption by OPEC, and increased financial transfers to LDC's on real income, in the international oil market, on inflation, and on international trade of manufacturers and raw materials. It was found that not recognizing the feedback effects of oil price increases introduces a significant upward bias in the total price elasticity and in the optimal oil price path, neither of which is consistent with OPEC's best interest.

  11. How regulators should use natural gas price forecasts

    SciTech Connect (OSTI)

    Costello, Ken

    2010-08-15

    Natural gas prices are critical to a range of regulatory decisions covering both electric and gas utilities. Natural gas prices are often a crucial variable in electric generation capacity planning and in the benefit-cost relationship for energy-efficiency programs. High natural gas prices can make coal generation the most economical new source, while low prices can make natural gas generation the most economical. (author)

  12. ENTRY POINTS FOR THE COLLEGE OF SCIENCE DEAN'S OFFICE Administrative Annual Reports and Scorecard Morgan/Price

    E-Print Network [OSTI]

    Zallen, Richard

    Morgan/Price Calendar/due dates Price College data Furrow Combined Virginia Campaign (CVC) Stearns Committee Assignments Price COOP & Emergency Action Plans Simpkins/Stearns Departmental reviews (Contact/Wardell Heads' Meetings Price Heads' Retreat Price Information Technology issues (NAS) Furrow New programs

  13. A NON-GAUSSIAN ORNSTEIN-UHLENBECK PROCESS FOR ELECTRICITY SPOT PRICE MODELING AND

    E-Print Network [OSTI]

    Kallsen, Jan

    A NON-GAUSSIAN ORNSTEIN-UHLENBECK PROCESS FOR ELECTRICITY SPOT PRICE MODELING AND DERIVATIVES for analytical pricing of electricity forward and futures contracts. Electricity forward and futures contracts to capture the observed dynamics of electricity spot prices. We also discuss the pricing of European call

  14. Learning Curve: Analysis of an Agent Pricing Strategy Under Varying Conditions

    E-Print Network [OSTI]

    in employing these real-time agents is understanding the costs and benefits to different agent pricingLearning Curve: Analysis of an Agent Pricing Strategy Under Varying Conditions Joan Morris, Pattie@cs.brown.edu Abstract - By employing dynamic pricing, the act of changing prices over time within a marketplace, sellers

  15. CANNED FISH RETAIL PRICES

    E-Print Network [OSTI]

    CANNED FISH RETAIL PRICES NOVEMBER 1958 UNITED STATES DEPARTMENT OF THE INTERIOR FISH AND WILDLIFE retail prices for selected canned fish items. The retail prices as contained herein for several types. Department of Labor in order to provide information on price levels in different cities. This issue contains

  16. CANNED FISH RETAIL .PRICES,

    E-Print Network [OSTI]

    CANNED FISH RETAIL .PRICES, OC1rOIBrE~ UNITED STATES DEPARTMENT OF THE INT...n.~""n FISH retail prices for selected canned fish items. The retail prices as contained herein for several types. Department of Labor in order to provide information on price levels in different cities. This issue contains

  17. Price-responsive demand management for a smart grid world

    SciTech Connect (OSTI)

    Chao, Hung-po

    2010-01-15

    Price-responsive demand is essential for the success of a smart grid. However, existing demand-response programs run the risk of causing inefficient price formation. This problem can be solved if each retail customer could establish a contract-based baseline through demand subscription before joining a demand-response program. (author)

  18. A statistical analysis of the natural gas futures market : the interplay of sentiment, volatility and prices

    E-Print Network [OSTI]

    Fazzio, Thomas J. (Thomas Joseph)

    2010-01-01

    This paper attempts to understand the price dynamics of the North American natural gas market through a statistical survey that includes an analysis of the variables influencing the price and volatility of this energy ...

  19. Oil prices spike to over barreland price

    E-Print Network [OSTI]

    Oil prices spike to over $145/ barreland price of electricity exceeds $0.50/kWh in U.S. Virgin installs waste heat recovery plant, adding19 MWofpower withoutburningasingledropof additionaloil VIEO Biomass Grid Waste-to- Energy Landfill Gas LEGEND Solar EDIN Energy Development in Island Nations EDIN

  20. The Minimum Price Contract 

    E-Print Network [OSTI]

    Waller, Mark L.; Amosson, Stephen H.; Welch, Mark; Dhuyvetter, Kevin C.

    2008-10-17

    A minimum price contract is one of many tools a marketer may use to better manage price and production risk while trying to achieve financial goals and objectives. This publication discusses the advantages and disadvantages involved...

  1. Grid Pricing of Fed Cattle 

    E-Print Network [OSTI]

    Schroeder, Ted C.; Hogan, Robert J.; Anderson, David P.

    2009-03-02

    There are several value-based fed cattle pricing systems, including formula pricing, price grids and alliances. This publication describes the different cattle pricing methods and helps you decide which is best for you....

  2. Utility spot pricing study : Wisconsin

    E-Print Network [OSTI]

    Caramanis, Michael C.

    1982-01-01

    Spot pricing covers a range of electric utility pricing structures which relate the marginal costs of electric generation to the prices seen by utility customers. At the shortest time frames prices change every five ...

  3. CANNED FISH RETAIL PRICES

    E-Print Network [OSTI]

    CANNED FISH RETAIL PRICES UNITED STATES DEPARTMENT OF THE INTERIOR FISH AND WILDLIFE SERVICE BUREAU PRICES APRIL 1959 Prepared in the Bureau of Commercial Fisheries Branch of Market Development FISHERY with the Bureau of Labor Statistics to obtain a v e rage retail prices for selected canned fish items. The retail

  4. CANNED FISH RETAIL PRICES

    E-Print Network [OSTI]

    CANNED FISH RETAIL PRICES DECEMBER 1958 UNITED STATES DEPARTMENT OF THE INTERIOR FISH AND WILDLIFE, Commissioner CANNED FISH RETAIL PRICES DECEMBER 1958 Prepared in the Bureau of Commercial Fisheries Branch canned fish items. The retail prices as contained herein for s veral types of canned tuna, canned salmon

  5. CANNED FISH RETAIL PRICES

    E-Print Network [OSTI]

    CANNED FISH RETAIL PRICES JUNE ll959 UNITED STATES DEPARTMENT OF THE INTERIOR FISH AND WILDUFE, Commissioner CANNED FISH RETAIL PRICES JUNE 1959 Prepared in the Bureau of Commercial Fisheries Branch Fisheries has contracted with the Bureau of Labo r Statistics to obtain average retail prices for selected

  6. CANNED FISH RETAIL PRICES

    E-Print Network [OSTI]

    CANNED FISH RETAIL PRICES JA.NUARY 11959 UNITED STATES DEPARTMENT OF THE INTERIOR FISH AND WILDLIFE, Commissioner CANNED FISH RETAIL PRICES JANUARY 195 9 Prepared in the Bureau of Commercial Fisheries Branch Fisheries has contracted with the Bureau of Labor Statistics to obtain average retail prices for se lected

  7. CANNED FISH RETAIL PRICES

    E-Print Network [OSTI]

    CANNED FISH RETAIL PRICES MARCH 1959 UNITED STATES DEPARTMENT OF THE INTERIOR FISH AND WILDLIFE, Commissioner CANNED FISH RETAIL PRICES MARCH 1959 Prepared in the Bureau of Commercial Fisheries Branch canned fish items. The retail prices as contain d h rein for s veral types of canned tuna, canned salmon

  8. Real-Time Symbolic Dynamic Programming for Hybrid MDPs Luis G. R. Vianna and Leliane N. de Barros

    E-Print Network [OSTI]

    Sanner, Scott

    Real-Time Symbolic Dynamic Programming for Hybrid MDPs Luis G. R. Vianna and Leliane N. de Barros IME - USP S~ao Paulo, Brazil Scott Sanner NICTA & ANU Canberra, Australia Abstract Recent advances savings over SDP as we demonstrate in a variety of hybrid domains rang- ing from inventory to reservoir

  9. Dynamic Variable Comparability Analysis for C and C++ Programs Philip J. Guo PGBOVINE@CSAIL.MIT.EDU

    E-Print Network [OSTI]

    Liskov, Barbara

    Dynamic Variable Comparability Analysis for C and C++ Programs Philip J. Guo PGBOVINE Street, Cambridge MA, 02139 USA 1. Introduction Languages like C and C++ provide programmers with only a few basic types (e.g., int, float). Programmers often use these types to hold semantically unrelated

  10. The long-run evolution of energy prices

    E-Print Network [OSTI]

    Pindyck, Robert S.

    1999-01-01

    I examine the long-run behavior of oil, coal, and natural gas prices, using up to 127 years of data, and address the following questions: What does over a century of data tell us about the stochastic dynamics of price ...

  11. Appendix A: Fuel Price Forecast Introduction..................................................................................................................................... 1

    E-Print Network [OSTI]

    Appendix A: Fuel Price Forecast Introduction................................................................................................................................. 3 Price Forecasts ............................................................................................................................ 5 U.S. Natural Gas Commodity Prices

  12. Automobile Prices, Gasoline Prices, and Consumer Demand for Fuel Economy

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

    Automobile Prices, Gasoline Prices, and Consumer Demand for Fuel Economy Ashley Langer University 2008 Abstract The relationship between gasoline prices and the demand for vehicle fuel efficiency evidence that automobile manufacturers set vehicle prices as if consumers respond to gasoline prices. We

  13. Linking Oil Prices, Gas Prices, Economy, Transport, and Land Use

    E-Print Network [OSTI]

    Bertini, Robert L.

    Linking Oil Prices, Gas Prices, Economy, Transport, and Land Use A Review of Empirical Findings/Fuel Price Travel Cost Macro-Economy Passenger: VMT or VKT Freight: Ton-Mile or Ton-KM Passenger Mode-run Short and Long-run #12;Topics covered by this presentation: Oil price and macro-economy Gas price

  14. Higher Prices from Entry: Pricing of Brand-Name Drugs

    E-Print Network [OSTI]

    Perloff, Jeffrey M.

    Higher Prices from Entry: Pricing of Brand-Name Drugs Jeffrey M. Perloffa Valerie Y. Suslowb,* Paul product, the prices of existing and new products may be higher than the incumbent's original price due to a better match between consumers and products. In other words, the average price in the market can rise

  15. Real Time Pricing as a Default or Optional Service for C&ICustomers: A Comparative Analysis of Eight Case Studies

    SciTech Connect (OSTI)

    Barbose, Galen; Goldman, Charles; Bharvirkar, Ranjit; Hopper,Nicole; Ting, Michael; Neenan, Bernie

    2005-08-01

    Demand response (DR) has been broadly recognized to be an integral component of well-functioning electricity markets, although currently underdeveloped in most regions. Among the various initiatives undertaken to remedy this deficiency, public utility commissions (PUC) and utilities have considered implementing dynamic pricing tariffs, such as real-time pricing (RTP), and other retail pricing mechanisms that communicate an incentive for electricity consumers to reduce their usage during periods of high generation supply costs or system reliability contingencies. Efforts to introduce DR into retail electricity markets confront a range of basic policy issues. First, a fundamental issue in any market context is how to organize the process for developing and implementing DR mechanisms in a manner that facilitates productive participation by affected stakeholder groups. Second, in regions with retail choice, policymakers and stakeholders face the threshold question of whether it is appropriate for utilities to offer a range of dynamic pricing tariffs and DR programs, or just ''plain vanilla'' default service. Although positions on this issue may be based primarily on principle, two empirical questions may have some bearing--namely, what level of price response can be expected through the competitive retail market, and whether establishing RTP as the default service is likely to result in an appreciable level of DR? Third, if utilities are to have a direct role in developing DR, what types of retail pricing mechanisms are most appropriate and likely to have the desired policy impact (e.g., RTP, other dynamic pricing options, DR programs, or some combination)? Given a decision to develop utility RTP tariffs, three basic implementation issues require attention. First, should it be a default or optional tariff, and for which customer classes? Second, what types of tariff design is most appropriate, given prevailing policy objectives, wholesale market structure, ratemaking practices and standards, and customer preferences? Third, if a primary goal for RTP implementation is to induce DR, what types of supplemental activities are warranted to support customer participation and price response (e.g., interval metering deployment, customer education, and technical assistance)?

  16. Time-to-Produce, Inventory, and Asset Prices 

    E-Print Network [OSTI]

    Chen, Zhanhui

    2012-10-19

    In a production-based general equilibrium model, I study the impact of time-to-build and time-to-produce technology constraints and inventory on asset prices and macroeconomic quantity dynamics. A time-to-build constraint ...

  17. Retrospective Evaluation of Appliance Price Trends

    E-Print Network [OSTI]

    Dale, Larry

    2010-01-01

    the higher the product cost and retail price. Table 3.change and appliance price Room air conditioners Small (price data to clarify price

  18. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01

    historical data for claiming to be able to predict oil pricehistorical data. The second is to look at the predictions of economic theory as to how oil prices

  19. Crude Oil Prices

    U.S. Energy Information Administration (EIA) Indexed Site

    Petroleum Marketing Annual 2001 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II (Continued) PAD District...

  20. Crude Oil Prices

    U.S. Energy Information Administration (EIA) Indexed Site

    Petroleum Marketing Annual 2000 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II (Continued) PAD District...

  1. Crude Oil Prices

    U.S. Energy Information Administration (EIA) Indexed Site

    Petroleum Marketing Annual 1999 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II (Continued) PAD District...

  2. Crude Oil Prices

    U.S. Energy Information Administration (EIA) Indexed Site

    Petroleum Marketing Annual 1998 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II (Continued) PAD District...

  3. Crude Oil Prices

    U.S. Energy Information Administration (EIA) Indexed Site

    Petroleum Marketing Annual 2002 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II (Continued) PAD District...

  4. Pricing an Annuity

    E-Print Network [OSTI]

    Pricing an Annuity. Central Indiana Life Insurance Company's customers can use a portion of the funds accumulated in their 401(k) retirement plan to buy an ...

  5. Pricing an Annuity

    E-Print Network [OSTI]

    2003-09-02

    Pricing an Annuity. Central Indiana Life Insurance Company 's customers can use a portion of the funds accumulated in their 401(k) retirement plan to buy an ...

  6. Software Price List Windows Applications

    E-Print Network [OSTI]

    Software Price List Windows Applications Software cannot be returned. Also note that the University support on campus, please go to www.unh.edu/it Number Item Price Number Item Price Prices are subject Item Price Only USNH Departments may purchase software below. A license does not include media

  7. ON THE RELATION BETWEEN OPTION AND STOCK PRICES: A CONVEX OPTIMIZATION APPROACH

    E-Print Network [OSTI]

    Bertsimas, Dimitris

    ON THE RELATION BETWEEN OPTION AND STOCK PRICES: A CONVEX OPTIMIZATION APPROACH DIMITRIS BERTSIMAS of option and stock prices based just on the no-arbitrage assumption, but without assuming any model for the underlying price dynamics, has a long history in the financial economics literature. We introduce convex and

  8. Computing Time-Dependent Bid Prices in Network Revenue Management Problems

    E-Print Network [OSTI]

    Topaloglu, Huseyin

    Computing Time-Dependent Bid Prices in Network Revenue Management Problems Sumit Kunnumkal Indian@orie.cornell.edu July 16, 2009 Abstract We propose a new method to compute bid prices in network revenue management problems. The novel aspect of our method is that it naturally provides dynamic bid prices that depend

  9. Implications of Cost Effectiveness Screening Practices in a Low Natural Gas Price Environment: Case Study of a Midwestern Residential Energy Upgrade Program

    E-Print Network [OSTI]

    Hoffman, Ian M.

    2014-01-01

    benefits, including avoided energy, capacity, transmissionKrop, R. (May 2010). Non-Energy Benefits: Status, Findings,costs. Screening a Home Energy Upgrade Program in a Low Gas

  10. Study of freeze-out dynamics in STAR at RHIC Beam Energy Scan Program

    E-Print Network [OSTI]

    Sabita Das; for the STAR collaboration

    2014-12-01

    The STAR detector at RHIC, due to its large uniform acceptance and excellent particle identification capabilities, has measured a variety of hadron species ($\\pi^{\\pm}$, $K^{\\pm}$, $p$, $\\bar{p}$, $K^{0}_{S}$, $\\Lambda$, $\\bar{\\Lambda}$, $\\Xi^{-}$, $\\bar{\\Xi}^{+}$) produced in Au+Au collisions at $\\sqrt {s_{NN}}= 7.7$, 11.5, 27 and 39 GeV. These data are part of the Beam Energy Scan (BES) program at RHIC and provide an opportunity to measure the yields and transverse momentum spectra ($p_{T}$) of the particles produced in the collisions. The corresponding measurements allow to study the freeze-out properties and dynamics of heavy ion collisions. A statistical thermal model analysis of particle production in BES energies in both grand canonical and strangeness canonical ensembles, is used to extract the chemical freeze-out parameters. The $p_{T}$ spectra, particle ratios, and the energy and centrality dependence of freeze-out parameters determined from the thermal fit of particle ratios are discussed.

  11. Utility spot pricing, California

    E-Print Network [OSTI]

    Schweppe, Fred C.

    1982-01-01

    The objective of the present spot pricing study carried out for SCE and PG&E is to develop the concepts which wculd lead to an experimental design for spot pricing in the two utilities. The report suggests a set of experiments ...

  12. High-level Programming of Dynamically Reconfigurable NoC-based Heterogeneous Multicore SoCs

    E-Print Network [OSTI]

    Vanderbauwhede, W.

    Vanderbauwhede,W. Dynamic Reconfigurable Network-on-Chip Design: Innovations for Computational Processing and Communication Idea Group Publishing

  13. Oil Price Trackers Inspired by Immune Memory

    E-Print Network [OSTI]

    Wilson, WIlliam; Aickelin, Uwe

    2010-01-01

    We outline initial concepts for an immune inspired algorithm to evaluate and predict oil price time series data. The proposed solution evolves a short term pool of trackers dynamically, with each member attempting to map trends and anticipate future price movements. Successful trackers feed into a long term memory pool that can generalise across repeating trend patterns. The resulting sequence of trackers, ordered in time, can be used as a forecasting tool. Examination of the pool of evolving trackers also provides valuable insight into the properties of the crude oil market.

  14. International Price List | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Laboratory (NBL) NBL Home About Programs Certified Reference Materials (CRMs) Prices and Certificates Ordering Information Training NEPA Documents News Safety Data Sheets...

  15. Domestic Price List | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Laboratory (NBL) NBL Home About Programs Certified Reference Materials (CRMs) Prices and Certificates Ordering Information Training NEPA Documents News Safety Data Sheets...

  16. Uranium and Thorium Ores Price List | U.S. DOE Office of Science...

    Office of Science (SC) Website

    Laboratory (NBL) NBL Home About Programs Certified Reference Materials (CRMs) Prices and Certificates Ordering Information Training NEPA Documents News Safety Data Sheets...

  17. Uranium Certified Reference Materials Price List | U.S. DOE Office...

    Office of Science (SC) Website

    Laboratory (NBL) NBL Home About Programs Certified Reference Materials (CRMs) Prices and Certificates Ordering Information Training NEPA Documents News Safety Data Sheets...

  18. Standard Offer Program

    Broader source: Energy.gov [DOE]

    Note: H.B. 40, enacted in June 2015, changes the name of the Sustainably Priced Energy Enterprise Development (SPEED) Program to the Standard Offer Program and replaces the associated state...

  19. Extending the Capabilities of the Mooring Analysis Program: A Survey of Dynamic Mooring Line Theories for Integration into FAST: Preprint

    SciTech Connect (OSTI)

    Masciola, M.; Jonkman, J.; Robertson, A.

    2014-03-01

    Techniques to model dynamic mooring lines come in various forms. The most widely used models include either a heuristic representation of the physics (such as a Lumped-Mass, LM, system), a Finite-Element Analysis (FEA) discretization of the lines (discretized in space), or a Finite-Difference (FD) model (which is discretized in both space and time). In this paper, we explore the features of the various models, weigh the advantages of each, and propose a plan for implementing one dynamic mooring line model into the open-source Mooring Analysis Program (MAP). MAP is currently used as a module for the FAST offshore wind turbine computer-aided engineering (CAE) tool to model mooring systems quasi-statically, although dynamic mooring capabilities are desired. Based on the exploration in this manuscript, the lumped-mass representation is selected for implementation in MAP based on its simplicity, computational cost, and ability to provide similar physics captured by higher-order models.

  20. Higher Prices from Entry: Pricing of Brand-Name Drugs

    E-Print Network [OSTI]

    Perloff, Jeffrey M.

    Higher Prices from Entry: Pricing of Brand-Name Drugs Jeffrey M. Perloff* Valerie Y. Suslow** Paul and starts selling a spatially-differentiated product, the prices of existing products may rise due to a better match between consumers and products. Entry may have three unusual effects. First, the new price

  1. Electricity Prices in a Competitive Environment: Marginal Cost Pricing

    Reports and Publications (EIA)

    1997-01-01

    Presents the results of an analysis that focuses on two questions: (1) How are prices for competitive generation services likely to differ from regulated prices if competitive prices are based on marginal costs rather than regulated cost-of-service pricing? (2) What impacts will the competitive pricing of generation services (based on marginal costs) have on electricity consumption patterns, production costs, and the financial integrity of electricity suppliers?

  2. Highly parallelized control programming methodologies using multicore CPU and FPGA for highly dynamic multi-DoF mobile robots, applied to the MIT Cheetah

    E-Print Network [OSTI]

    Seok, Sangok

    2014-01-01

    This thesis presents highly parallelized control programming methodologies developed for multi-degrees of freedom (DoF) robots capable of highly dynamic movements. In robotic applications that require rapid physical ...

  3. WIND ENERGY AND NEGATIVE PRICING

    E-Print Network [OSTI]

    McCalley, James D.

    at negative prices #12;Wind power and negative prices · Wind power production is related to electricity power integration · Negative prices are "market distortions" that need to be addressed · "PTC aggravatesWIND ENERGY AND NEGATIVE PRICING Is Production Tax Credit to Blame? Yu Wang Iowa State University

  4. Brand the Pricing: Critical Critique 

    E-Print Network [OSTI]

    Alam Kazmi, Syed Hasnain

    2015-01-01

    impact. Management decisions to change prices translate intoto management decision making will translate the change

  5. Competitive Electricity Prices: An Update

    Reports and Publications (EIA)

    1998-01-01

    Illustrates a third impact of the move to competitive generation pricing -- the narrowing of the range of prices across regions of the country. This feature article updates information in Electricity Prices in a Competitive Environment: Marginal Cost Pricing of Generation Services and Financial Status of Electric Utilities.

  6. CANNED FI H RETAIL PRICE

    E-Print Network [OSTI]

    CANNED FI H RETAIL PRICE UNITED STATES DEPARTMENT OF THE I TERI R FISH AND WILDLIFE SERVICE BUREAU to obtain average retail prices for selected canned fish items. The retail prices as contained herein by the U. S . Department of Labor in order to provide information on price levels in different cities

  7. Crude Oil Prices

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    19.11 18.73 18.63 17.97 18.75 18.10 See footnotes at end of table. 21. Domestic Crude Oil First Purchase Prices Energy Information Administration Petroleum Marketing Annual...

  8. Crude Oil Prices

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    20.86 20.67 20.47 20.24 20.32 19.57 See footnotes at end of table. 21. Domestic Crude Oil First Purchase Prices Energy Information Administration Petroleum Marketing Annual...

  9. Term Pricing Project

    E-Print Network [OSTI]

    Jeff Beckley

    2015-10-29

    Term Pricing Project. Your job is to reprice Purdue Life's 20 Year Term. You are to write a one page memo or report summarizing your work. The report should ...

  10. Desynchronized Multi-State Abstractions for Open Programs in Dynamic Languages

    E-Print Network [OSTI]

    Rival, Xavier

    . Dynamic language library developers face a challenging problem: ensuring that their libraries will behave stems from the common use of two defining features for dynamic languages: callbacks into client code, the second abstraction tracks attribute name/value pairs across the execution of a library. We implement

  11. Forecasting Model for Crude Oil Price Using Artificial Neural Networks and Commodity Futures Prices

    E-Print Network [OSTI]

    Kulkarni, Siddhivinayak

    2009-01-01

    This paper presents a model based on multilayer feedforward neural network to forecast crude oil spot price direction in the short-term, up to three days ahead. A great deal of attention was paid on finding the optimal ANN model structure. In addition, several methods of data pre-processing were tested. Our approach is to create a benchmark based on lagged value of pre-processed spot price, then add pre-processed futures prices for 1, 2, 3,and four months to maturity, one by one and also altogether. The results on the benchmark suggest that a dynamic model of 13 lags is the optimal to forecast spot price direction for the short-term. Further, the forecast accuracy of the direction of the market was 78%, 66%, and 53% for one, two, and three days in future conclusively. For all the experiments, that include futures data as an input, the results show that on the short-term, futures prices do hold new information on the spot price direction. The results obtained will generate comprehensive understanding of the cr...

  12. A Survey of Utility Experience with Real Time Pricing

    SciTech Connect (OSTI)

    Barbose, Galen; Goldman, Charles; Neenan, Bernie

    2004-12-01

    While more than 70 utilities in the U.S. have offered voluntary RTP tariffs on either a pilot or permanent basis, most have operated in relative obscurity. To bring this broad base of experience to bear on policymakers current efforts to stimulate price responsive demand, we conducted a survey of 43 voluntary RTP tariffs offered in 2003. The survey involved telephone interviews with RTP program managers and other utility staff, as well as a review of regulatory documents, tariff sheets, program evaluations, and other publicly available sources. Based on this review of RTP program experience, we identify key trends related to: utilities motivations for implementing RTP, evolution of RTP tariff design, program participation, participant price response, and program outlook. We draw from these findings to discuss implications for policymakers that are currently considering voluntary RTP as a strategy for developing price responsive demand.

  13. Env. Sci 310/550 --Stella or Vensim? Both Stella and Vensim are excellent programs for dynamic modeling, and both are explained and used in Modeling

    E-Print Network [OSTI]

    Ford, Andrew

    Env. Sci 310/550 -- Stella or Vensim? Both Stella and Vensim are excellent programs for dynamic modeling, and both are explained and used in Modeling the Environment: 2nd Edition. You can select either program for this course. Previous students' experiences may help you decide which software is best for you

  14. The Department of Chemical Engineering's graduate program at Texas Tech University is dynamic and internationally visible.

    E-Print Network [OSTI]

    Rock, Chris

    RESEARCH The Department of Chemical Engineering's graduate program at Texas Tech University and Sustainability · Polymers and Materials · Simulation and Modeling in Chemical Engineering GRADUATE PROGRAMS of Science in Chemical Engineering A written thesis and a minimum of 24 hours of graduate-level coursework

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

    E-Print Network [OSTI]

    Cardoso, Goncalo

    2014-01-01

    wind power and market prices. In [23], two-stage stochastic mixed-integer linear programming is used to design

  16. TheRate: Program for Ab Initio Direct Dynamics Calculations of Thermal and

    E-Print Network [OSTI]

    Truong, Thanh N.

    , and the convergence of the rate constants with respect to the number of electronic structure calculations. 1998 John is that such limited potential energy information may be obtained from accurate electronic structure calculations-- --Dynamics Calculations of Thermal and Vibrational

  17. Developing an integrated building design tool by coupling building energy simulation and computational fluid dynamics programs

    E-Print Network [OSTI]

    Zhai, Zhiqiang, 1971-

    2003-01-01

    Building energy simulation (ES) and computational fluid dynamics (CFD) can play important roles in building design by providing essential information to help design energy-efficient, thermally comfortable and healthy ...

  18. Fact #766: February 11, 2013 Electricity Prices are More Stable...

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

    6: February 11, 2013 Electricity Prices are More Stable than Gasoline Prices Fact 766: February 11, 2013 Electricity Prices are More Stable than Gasoline Prices All energy prices...

  19. 15.818 Pricing, Spring 2005

    E-Print Network [OSTI]

    Tucker, Catherine

    This course, primarily discussion based, provides a framework for understanding pricing strategies and tactics. Topics covered include pricing in competitive markets, estimating demand, price discrimination, the role of ...

  20. Real Estate Prices and Economic Cycles

    E-Print Network [OSTI]

    Quigley, John M.

    2002-01-01

    in construction and price development were synchronized with3 Models of Housing price Development Based on EconomicTable 4 Models of Housing Price Development Based on Lagged

  1. Assessment of Summer 1997 motor gasoline price increase

    SciTech Connect (OSTI)

    1998-05-01

    Gasoline markets in 1996 and 1997 provided several spectacular examples of petroleum market dynamics. The first occurred in spring 1996, when tight markets, following a long winter of high demand, resulted in rising crude oil prices just when gasoline prices exhibit their normal spring rise ahead of the summer driving season. Rising crude oil prices again pushed gasoline prices up at the end of 1996, but a warm winter and growing supplies weakened world crude oil markets, pushing down crude oil and gasoline prices during spring 1997. The 1996 and 1997 spring markets provided good examples of how crude oil prices can move gasoline prices both up and down, regardless of the state of the gasoline market in the United States. Both of these spring events were covered in prior Energy Information Administration (EIA) reports. As the summer of 1997 was coming to a close, consumers experienced yet another surge in gasoline prices. Unlike the previous increase in spring 1996, crude oil was not a factor. The late summer 1997 price increase was brought about by the supply/demand fundamentals in the gasoline markets, rather than the crude oil markets. The nature of the summer 1997 gasoline price increase raised questions regarding production and imports. Given very strong demand in July and August, the seemingly limited supply response required examination. In addition, the price increase that occurred on the West Coast during late summer exhibited behavior different than the increase east of the Rocky Mountains. Thus, the Petroleum Administration for Defense District (PADD) 5 region needed additional analysis (Appendix A). This report is a study of this late summer gasoline market and some of the important issues surrounding that event.

  2. Volatility of Power Grids under Real-Time Pricing

    E-Print Network [OSTI]

    Roozbehani, Mardavij; Mitter, Sanjoy K

    2011-01-01

    The paper proposes a framework for modeling and analysis of the dynamics of supply, demand, and clearing prices in power system with real-time retail pricing and information asymmetry. Real-time retail pricing is characterized by passing on the real-time wholesale electricity prices to the end consumers, and is shown to create a closed-loop feedback system between the physical layer and the market layer of the power system. In the absence of a carefully designed control law, such direct feedback between the two layers could increase volatility and lower the system's robustness to uncertainty in demand and generation. A new notion of generalized price-elasticity is introduced, and it is shown that price volatility can be characterized in terms of the system's maximal relative price elasticity, defined as the maximal ratio of the generalized price-elasticity of consumers to that of the producers. As this ratio increases, the system becomes more volatile, and eventually, unstable. As new demand response technolo...

  3. Washington Natural Gas Prices

    U.S. Energy Information Administration (EIA) 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 Google5.10 5.24 5.29 5.84 5.08 4.25 1989-2015 Residential Price 11.35 12.13 12.37 12.57 11.71 11.24 1989-2015 Percentage of Total Residential Deliveries included in Prices 100.0 100.0

  4. Diesel prices decrease

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas Usage FormDiesel pricesDiesel pricesDiesel

  5. Diesel prices decrease

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas Usage FormDiesel pricesDieselDiesel prices

  6. Diesel prices slightly decrease

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas UsageDiesel prices increaseDiesel prices

  7. Intraclass Price Elasticity & Electric Rate Design 

    E-Print Network [OSTI]

    Gresham, K. E.

    1987-01-01

    beyond this becomes more elastic as usage increases. In the book "Innovative Electric, Rates," John Chamberlin and Charles Dickson utilize an economic model to test conservation programs. This model utilizes intrac1ass price elasticities and has a.... Utilities must rely on customer data and intuition to estimate customer response to rate changes. These methods have several downfalls. First, the customer data may not reflect customer behavior in an economic downturn. Second, the data may not exactly...

  8. Pricing and Firm Conduct in California's Deregulated Electricity Market

    E-Print Network [OSTI]

    California at Berkeley. University of

    and fall 2000. The incumbent utilities were required to purchase power at high wholesale prices and to sell, the organized market broke down, and the state government was required to step in to purchase power. Market of the Program on Workable Energy Regulation (POWER). POWER is a program of the University of California Energy

  9. The effects of consumer information and cost-sharing on healthcare prices

    E-Print Network [OSTI]

    Whaley, Christopher

    2015-01-01

    1.2.3 Price Transparency . . . . . . . . . .Provider Prices . . . . . . . . . . . . . . . . . . . . . .Physician Price Responses to Price

  10. Buyout prices in online auctions

    E-Print Network [OSTI]

    Gupta, Shobhit

    2006-01-01

    Buyout options allow bidders to instantly purchase at a specified price an item listed for sale through an online auction. A temporary buyout option disappears once a regular bid above the reserve price is made, while a ...

  11. Asset Prices and Exchange Rates

    E-Print Network [OSTI]

    Pavlova, Anna

    2004-11-30

    This paper develops a simple two-country, two-good model, in which the real exchange rate, stock and bond prices are jointly determined. The model predicts that stock market prices are correlated ...

  12. Best Buys and Unit Pricing 

    E-Print Network [OSTI]

    Anding, Jenna

    2000-02-02

    This guide explains how to determine a unit price--the cost of an item based on a specific unit such as pound or ounce. Unit pricing can be used to identify foods that are the most economical....

  13. Feb 4, 2013 8:30 AM Port and Port Groups used to determine standard prices for

    E-Print Network [OSTI]

    Feb 4, 2013 8:30 AM Port and Port Groups used to determine standard prices for observer fees Ports the appropriate standard prices in the fee assessment for observer coverage in the partial coverage category of the North Pacific Groundfish and Halibut Observer Program. The standard prices are available at: http

  14. Ethanol's Effect on Grain Supply and Prices

    SciTech Connect (OSTI)

    2008-01-01

    This document provides graphical information about ethanol's effect on grain supply and prices, uses of corn, and grain price trends.

  15. Energy Prices and California's Economic

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

    months, with national unemployment at 25 year highs, retail U.S. gasoline prices have risen 40 percent1 Energy Prices and California's Economic Security David RolandHolst October, 2009 on Energy Prices, Renewables, Efficiency, and Economic Growth: Scenarios and Forecasts, financial support

  16. Essays On Hybrid Bundle Pricing 

    E-Print Network [OSTI]

    Meyer, Jeffrey Dean

    2011-10-21

    model of optimal pricing for hybrid bundles by a monopolist. My results show that an increase in quality variability of the service is generally associated with a higher optimal hybrid bundle price and a lower optimal price of the good, but lower overall...

  17. Pine pulpwood prices reached re-

    E-Print Network [OSTI]

    Pine pulpwood prices reached re- cord highs due to strong pulp and paper demand and lumber production curtailment. In contrast, sawlog prices continued their downward movement in November/December statewide av- erage pine sawlog prices decreased to $36.72/ton, a 4.3% drop for the period and a 14.1% drop

  18. On the Dynamic Stability of Electricity Markets

    E-Print Network [OSTI]

    2011-02-09

    been used to analyze the effect of dynamic disturbances such as wind on prices under ...... The operation of large steam turbines to limit cyclic thermal cracking.

  19. Programming

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II) by Carbon-Rich Matricesstudents working inProgramming Programming

  20. Programming

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II) by Carbon-Rich Matricesstudents working inProgrammingProgramming

  1. Theory of Dynamical Model Reductions in Systems Biology and Implementation in Constraint Logic Programming

    E-Print Network [OSTI]

    Radulescu, Ovidiu

    qualitative [Gay et al, 2010, 2011, Fages et al., 2012] and quantitative models [Crudu et al., 2009, Gorban et Programming PhD Thesis Subject, Advisors: François Fages, Inria Paris-Rocquencourt, http al, 2004, 2008 & 2010; Radulescu et al, 2008, 2012; Noel et al 2011]. The subject of the Thesis

  2. A hybrid programming model for compressible gas dynamics using openCL

    SciTech Connect (OSTI)

    Bergen, Benjamin Karl [Los Alamos National Laboratory; Daniels, Marcus G [Los Alamos National Laboratory; Weber, Paul M [Los Alamos National Laboratory

    2010-01-01

    The current trend towards multicore/manycore and accelerated architectures presents challenges, both in portability, and also in the choices that developers must make on how to use the resources that these architectures provide. This paper explores some of the possibilities that are enabled by the Open Computing Language (OpenCL), and proposes a programming model that allows developers and scientists to more fully subscribe hybrid compute nodes, while, at the same time, reducing the impact of system failure.

  3. Delivery and Hedging Delivery ties the futures price to the spot price.

    E-Print Network [OSTI]

    Lyuu, Yuh-Dauh

    Delivery and Hedging · Delivery ties the futures price to the spot price. · On the delivery date, the settlement price of the futures contract is determined by the spot price. · Hence, when the delivery period is reached, the futures price should be very close to the spot price. · Changes in futures prices usually

  4. Visualizations for Real-time Pricing Demonstration

    SciTech Connect (OSTI)

    Marinovici, Maria C.; Hammerstrom, Janelle L.; Widergren, Steven E.; Dayley, Greg K.

    2014-10-13

    In this paper, the visualization tools created for monitoring the operations of a real-time pricing demonstration system that runs at a distribution feeder level are presented. The information these tools provide gives insights into demand behavior from automated price responsive devices, distribution feeder characteristics, impact of weather on system’s development, and other significant dynamics. Given the large number of devices that bid into a feeder-level real-time electricity market, new techniques are explored to summarize the present state of the system and contrast that with previous trends as well as future projections. To better understand the system behavior and correctly inform decision-making procedures, effective visualization of the data is imperative.

  5. DYNAMIC MANAGEMENT OF NETWORK SYSTEMS Syed Yousaf Shah

    E-Print Network [OSTI]

    Linhardt, Robert J.

    OF TABLES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vi LIST OF FIGURES . . . . . . . . . . . . . 16 3.3 Dynamic Price Based Routing (PBR) . . . . . . . . . . . . . . . . . . . . 17 3 . . . . . . . . . . . . . . . . . . . . 29 3.5 Price Based Routing for Network Resource Management . . . . . . . . . 33 3.6 Concluding

  6. The dynamics of commodity spot and futures markets

    E-Print Network [OSTI]

    Pindyck, Robert S.

    2001-01-01

    I discuss the short-run dynamics of commodity prices, production, and inventories, as well as the sources and effects of market volatility. I explain how prices, rates of production, and inventory levels are interrelated, ...

  7. Price Discovery in Time and Space: The Course of Condominium Prices in Singapore

    E-Print Network [OSTI]

    Hwang, Min; Quigley, John M.

    2007-01-01

    Method for Real Estate Price Index Construction,” Journal ofAutocorrelation in House Prices,” Journal of Real Estate1997), “Quotes, Order Flow, and Price Discovery,” Journal of

  8. Comparison of AEO 2010 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2010-01-01

    approach to evaluating price risk would be to use suchthe base-case natural gas price forecast, but to alsorange of different plausible price projections, using either

  9. Patterns of Pass-through of Commodity Price Shocks to Retail Prices

    E-Print Network [OSTI]

    Berck, Peter; Leibtag, Ephraim S.; Villas-Boas, Sofia B.; Solis, Alex

    2009-01-01

    B. 1975. “The Farm-Retail Price Spread in a Competitive Foodthe Income Effect: Gasoline Prices and Grocery Purchases. ”2004. “Patterns of Retail Price Variation. ” The RAND

  10. Comparison of AEO 2009 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark

    2009-01-01

    range of different plausible price projections, using eitherthat renewables can provide price certainty over even longerof AEO 2009 Natural Gas Price Forecast to NYMEX Futures

  11. Comparison of AEO 2010 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2010-01-01

    range of different plausible price projections, using eitherreference-case fuel price projection from the EIA or someprices and the AEO gas price projections over the past two

  12. Comparison of AEO 2009 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark

    2009-01-01

    Comparison of AEO 2009 Natural Gas Price Forecast to NYMEXcase long-term natural gas price forecasts from theto contemporaneous natural gas prices that can be locked in

  13. Comparison of AEO 2008 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01

    Comparison of AEO 2008 Natural Gas Price Forecast to NYMEXcase long-term natural gas price forecasts from theto contemporaneous natural gas prices that can be locked in

  14. Comparison of AEO 2006 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2005-01-01

    Comparison of AEO 2006 Natural Gas Price Forecast to NYMEXcase long-term natural gas price forecasts from theto contemporaneous natural gas prices that can be locked in

  15. Comparison of AEO 2007 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2006-01-01

    Comparison of AEO 2007 Natural Gas Price Forecast to NYMEXcase long-term natural gas price forecasts from theto contemporaneous natural gas prices that can be locked in

  16. DATES: 12/28/2015 to 1/15/2016 PRICE: $248.00

    E-Print Network [OSTI]

    Michel, Robert G.

    DATES: 12/28/2015 to 1/15/2016 PRICE: $248.00 POINTS: 0 · No meals on 1/1/2016 and take out meal Monday through Friday only. NO WEEKEND MEALS. DATES: 12/28/2015 to 1/15/2016 PRICE: $469.00 POINTS: 25 SUMMER WINTER programs WINTER INTERSESSION MEAL PLAN 2015-2016 DATES: 12/28/2015 to 1/15/2016 PRICE: $397

  17. Programming

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II) by Carbon-Rich Matricesstudents working inProgramming

  18. Progress Energy Carolinas- CFL Rebate Program

    Broader source: Energy.gov [DOE]

    Progress Energy is working with lighting manufacturers and local retailers to offer discounted pricing on CFLs.  The residential lighting program at Progress Energy's gives discounts at over 400...

  19. Demand Response Programs Oregon Public Utility Commission

    E-Print Network [OSTI]

    Demand Response Programs Oregon Public Utility Commission January 6, 2005 Mike Koszalka Director;Demand Response Results, 2004 Load Control ­ Cool Keeper ­ ID Irrigation Load Control Price Responsive

  20. CONTRACT TRAVEL VENDOR EXCEPTION FORM Lodging Airfare Car Rental 1. Lower Cost to the State -State agencies may use any travel services obtained at a price lower than the

    E-Print Network [OSTI]

    Behmer, Spencer T.

    agencies may use any travel services obtained at a price lower than the contract travel services price. State agencies are encouraged to obtain lower priced travel services through the use of fourteen day or other advanced reservations programs, promotional price reductions, or any method that provides a lower

  1. Essays on Automotive Lending, Gasoline Prices, & Automotive Demand

    E-Print Network [OSTI]

    Schulz-Mahlendorf, Wilko Ziggy

    2013-01-01

    Gasoline PriceResponse to Chang- ing Gasoline Prices,” unpublishedShort-Run Price Elasticity of Gasoline Demand. ,” The Energy

  2. Tariff-based analysis of commercial building electricity prices

    E-Print Network [OSTI]

    Coughlin, Katie M.; Bolduc, Chris A.; Rosenquist, Greg J.; Van Buskirk, Robert D.; McMahon, James E.

    2008-01-01

    4.2 E?ective Marginal Prices . . . . . . . . . . . . . . . .Demand Prices . . . . . . . . . . . . . . . . . . . . . .4 Calculation of Electricity Prices 4.1 Average

  3. Pricing and incentive design in applications of green technology subsidies and revenue management

    E-Print Network [OSTI]

    Lobel, Ruben

    2012-01-01

    This thesis addresses three issues faced by firms and policy-makers when deciding how to price products and properly incentivize consumers. In the first part of the thesis, we focus on a firm attempting to dynamically ...

  4. Tariff-based analysis of commercial building electricity prices

    E-Print Network [OSTI]

    Coughlin, Katie M.; Bolduc, Chris A.; Rosenquist, Greg J.; Van Buskirk, Robert D.; McMahon, James E.

    2008-01-01

    Energy and Demand Prices . . . . . . . . . . . . . . . . . . . . . .US DOE 1999. Marginal Energy Prices Report U.S. Departmentmarginal price Marginal energy price in cper kwh Marginal

  5. Operation of Distributed Generation Under Stochastic Prices

    SciTech Connect (OSTI)

    Siddiqui, Afzal S.; Marnay, Chris

    2005-11-30

    We model the operating decisions of a commercial enterprisethatneeds to satisfy its periodic electricity demand with either on-sitedistributed generation (DG) or purchases from the wholesale market. Whilethe former option involves electricity generation at relatively high andpossibly stochastic costs from a set of capacity-constrained DGtechnologies, the latter implies unlimited open-market transactions atstochastic prices. A stochastic dynamic programme (SDP) is used to solvethe resulting optimisation problem. By solving the SDP with and withoutthe availability of DG units, the implied option values of the DG unitsare obtained.

  6. Market Prices and Uncertainty Report

    Reports and Publications (EIA)

    2015-01-01

    Monthly analysis of crude oil, petroleum products, natural gas, and propane prices is released as a regular supplement to the Short-Term Energy Outlook.

  7. Carbon Permit Prices in the European Emissions Trading System: A Stochastic Analysis

    E-Print Network [OSTI]

    Carbon Permit Prices in the European Emissions Trading System: A Stochastic Analysis By Wee Chiang, Technology and Policy Program 1 #12;Carbon Permit Prices in the European Emissions Trading System Abstract The Emission Trading Scheme (ETS) is a cornerstone for European efforts to reduce greenhouse gas

  8. NIST Special Publication 1181 Unit Pricing Guide

    E-Print Network [OSTI]

    NIST Special Publication 1181 Unit Pricing Guide "A Best Practice Approach to Unit Pricing" Product Identity and Size Retail Price Unit Price Miscellaneous Information (Retailer Specific) Editor David Sefcik #12;THIS PAGE INTENTIONALLY LEFT BLANK #12;NIST Special Publication 1181 Unit Pricing Guide "A Best

  9. Postgraduate Scholarship Pricing temperature derivatives and modelling

    E-Print Network [OSTI]

    Banaji,. Murad

    the volumetric risk of the energy units sold, rather than the price risk of each unit. Weather derivativesPostgraduate Scholarship Pricing temperature derivatives and modelling the market price of risk: Pricing temperature derivatives and modelling the market price of risk. Main Supervisor: A. Alexandridis

  10. 1926 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 27, NO. 4, NOVEMBER 2012 Volatility of Power Grids Under Real-Time Pricing

    E-Print Network [OSTI]

    Mitter, Sanjoy K.

    of the dynamics of supply, demand, and clearing prices in power systems with real-time retail pricing1926 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 27, NO. 4, NOVEMBER 2012 Volatility of Power Grids consumers, real-time pricing creates a closed-loop feedback system between the physical layer and the market

  11. Georgia Natural Gas Prices

    U.S. Energy Information Administration (EIA) 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 PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear, ElectricRhodeFeet) Decadefrom AllResidentialImports Price

  12. Hawaii Natural Gas Prices

    U.S. Energy Information Administration (EIA) 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 PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear, ElectricRhodeFeet)CubicCitygate Price 17.82 22.94 31.58 32.39

  13. Oil Price Volatility

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1 Year-2 Year-3+ LeaseWellhead Price

  14. Average Commercial Price

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table 1.101 (Million Short6 Macroeconomic88.04 8.50

  15. Average Residential Price

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table 1.101 (Million Short6 Macroeconomic88.04

  16. Residential propane price

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oil priceheating9,propane price

  17. Residential propane price decreases

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oilpropane price decreases The

  18. Residential propane price decreases

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oilpropane price decreases

  19. Residential propane price decreases

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oilpropane price decreasespropane

  20. Residential propane price decreases

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oilpropane price

  1. Residential propane price decreases

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oilpropane pricepropane price

  2. Residential propane price increases

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oilpropanepropane price increases

  3. Residential propane price increases

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oilpropanepropane price increases4,

  4. Residential propane price increases

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oilpropanepropane price

  5. Residential propane price increases

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oilpropanepropanepropane price

  6. Residential propane prices available

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014 Residential propane price

  7. Residential propane prices available

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014 Residential propane price1,

  8. Residential propane prices available

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014 Residentialpropane prices

  9. Residential propane prices decreases

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014 Residentialpropane prices5,

  10. Residential propane prices increase

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014propane prices increase The

  11. Residential propane prices increase

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014propane prices increase

  12. Residential propane prices increase

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014propane prices

  13. Residential propane prices increase

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014propane pricespropane prices

  14. Residential propane prices stable

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014propanepropane price

  15. World Crude Oil Prices

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table 1.10 Cooling Degree-Days by038.2

  16. Natural Gas Wellhead Price

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets16 (next20, 2008 Next3,4,04, 20119,7,1

  17. Natural Gas Wellhead Price

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets16 (next20, 2008 Next3,4,04, 20119,7,1

  18. Natural Gas Citygate Price

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets See(STEO),7F e b r61-£661.loading new4.21

  19. Natural Gas Industrial Price

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets See(STEO),7F e28 3.24 3.23200950 3.69 3.68

  20. Diesel prices decrease

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas Usage FormDiesel pricesDiesel

  1. Diesel prices decrease

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas Usage FormDiesel pricesDieselDiesel

  2. Diesel prices decrease

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas Usage FormDiesel pricesDieselDieselDiesel

  3. Diesel prices decrease slightly

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas Usage FormDieselDieselDiesel prices

  4. Diesel prices flat nationally

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas Usage FormDieselDieselDieselDiesel prices

  5. Diesel prices increase nationally

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas UsageDiesel prices increase nationally The

  6. Diesel prices rise slightly

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas UsageDiesel prices increase nationallyDiesel

  7. Diesel prices slightly decrease

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas UsageDiesel prices increaseDiesel

  8. Diesel prices slightly increase

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas UsageDiesel prices increaseDieselDieselDiesel

  9. NYMEX Futures Prices

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural GasEIARegionalMethodology forNYMEX Futures Prices

  10. Improved Price Indexes for Durable Goods: Measuring the Course of Sweding Housing Prices

    E-Print Network [OSTI]

    Englund, Peter; Quigley, John M.; Redfearn, Christian L.

    1996-01-01

    2.3. Explanations for the price development may be sought ina similar pattern of price development across regions during

  11. Comparison of AEO 2008 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01

    to electricity generators to the same price projections fromPrices Delivered to Electricity Generators, Nominal $/MMBtu Each AEO projection

  12. Comparison of AEO 2007 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2006-01-01

    to electricity generators to the same price projections fromPrices Delivered to Electricity Generators, Nominal $/MMBtu Each AEO projection

  13. Participatory Pricing in Sport: An Examination of Name-Your-Own-Price and Pay-What-You-Want Pricing 

    E-Print Network [OSTI]

    Reese, Jason 1985-

    2012-12-06

    The purpose of this study is to better understand the effects participatory pricing strategies have on consumer perceptions and behaviors in a sport event pricing scenario. Participatory pricing strategies are those that include the consumer...

  14. Option Prices under Generalized Pricing BERTRAM D URING Duering@uni-mainz.de

    E-Print Network [OSTI]

    Düring, Bertram

    Option Prices under Generalized Pricing Kernels BERTRAM D ¨URING Duering@uni-mainz.de Institut f solutions for European option prices are derived for a class of rather general asset specific pricing of the Black and Scholes (1973) option pricing formula and the Heston (1993) option pricing formula for non

  15. Shadow Prices vs. Vickrey Prices in Multipath Routing Parthasarathy Ramanujam, Zongpeng Li, Lisa Higham

    E-Print Network [OSTI]

    Li, Zongpeng

    Shadow Prices vs. Vickrey Prices in Multipath Routing Parthasarathy Ramanujam, Zongpeng Li, Lisa}@ucalgary.ca Abstract--Shadow price and Vickrey price are two classic metrics that can be applied to measure routing. We show that Vickrey prices provide upper-bounds for shadow prices in general, and the fine

  16. Extensions of Answer Set Programming

    E-Print Network [OSTI]

    Brik, Alex

    2012-01-01

    Logic Programming . . . . . . . . . . . . 2.2 Preference Set4.1 The Dynamic Programming Algorithm . . . . . . . . . .of predicate logic as a programming language. J. ACM, 23(4):

  17. Retrospective Evaluation of Appliance Price Trends

    E-Print Network [OSTI]

    Dale, Larry

    2010-01-01

    pattern in the table is that prices rise as units increaseproduct cost and retail price. Table 3. Regression resultsanalysis. In Table 4, we have assumed that price is a linear

  18. Static Pricing for a Network Service Provider

    E-Print Network [OSTI]

    Caro, F.; Simchi-Levi, D.

    2006-01-01

    in Multiservice Loss Networks: Static Pricing, Aysmptoticoptimal versus optimal (static prices). N N 1 N 2 J a J ? JJ ? ?J a J ? Table 2: Static pricing and threshold policies

  19. Monetary policy and relative farm prices

    E-Print Network [OSTI]

    Stamoulis, Kostas G.; Chalfant, James A.; Rausser, Gordon C.

    1986-01-01

    POLICY AND RELATIVE FAru·' PRICES by Kostas G. Stamoulis,POLICY fu~ RELATIVE FAR~ PRICES by Kostas G. Stamou1is,variables such as the price level to changes in monetary

  20. VOLATILITY TIME AND PROPERTIES OF OPTION PRICES

    E-Print Network [OSTI]

    Janson, Svante

    VOLATILITY TIME AND PROPERTIES OF OPTION PRICES volatility time, to show convexity of option prices in the underlying asset if the contract function is convex as well as continuity and monotonicity of the option price in the volatility

  1. Natural Gas Futures Prices (NYMEX)

    U.S. Energy Information Administration (EIA) Indexed Site

    093015 View History Spot Price Henry Hub 2.62 2.62 2.60 2.66 2.57 1997-2015 Futures Prices Contract 1 2.569 2.591 2.564 2.563 2.586 2.524 1994-2015 Contract 2 2.638 2.674 2.631...

  2. Price forecasting for notebook computers 

    E-Print Network [OSTI]

    Rutherford, Derek Paul

    1997-01-01

    of individual features are estimated. A time series analysis is used to forecast and can be used, for example, to forecast (1) notebook computer price at introduction, and (2) rate of price erosion for a notebook's life cycle. Results indicate that this approach...

  3. Optimal Power Flow Based Demand Response Offer Price Optimization

    E-Print Network [OSTI]

    Lavaei, Javad

    Optimal Power Flow Based Demand Response Offer Price Optimization Zhen Qiu 1 Introduction-time energy balance. Demand response programs are offered by the utility companies to reduce the load response cost in exchange for load reduction. A considerable amount of papers have discussed the demand

  4. Explaining low sulfur dioxide allowance prices : the effect of expectation errors and irreversibility

    E-Print Network [OSTI]

    Montero, Juan-Pablo

    1998-01-01

    The low price of allowances has been a frequently noted featured of the implementation of the sulfur dioxide emissions market of the U.S. Acid Rain Program. This paper presents theoretical and numerical analyses that explain ...

  5. Spatial and Temporal Diffusion of House Prices in the UK

    E-Print Network [OSTI]

    Holly, Sean; Pesaran, M. Hashem; Yamagata, Takashi

    series of characteristics, and incorporates both spatial spillover e¤ects and spatial parametric drift. More recently Fingleton (2008) has developed a GMM estimator for a spatial house price model with spatial moving average errors. However, both... the importance of dynamic spill-over e¤ects from the neighbouring 17These are available from the authors on request. 16 regions. The contemporaneous e¤ect of London house prices are sizeable and statistically sig- ni?cant in all regions. The size of this e...

  6. The Price of Parking on Great Streets

    E-Print Network [OSTI]

    Shoup, Donald

    2011-01-01

    UCTC-FR-20II-26 The Price of Parking on Great Streets Donaldare enacted. With performance-based parking prices, localrevenue return, and parking increment finance, everybody

  7. Prices include compostable serviceware and linen tablecloths

    E-Print Network [OSTI]

    California at Davis, University of

    APPETIZERS Prices include compostable serviceware and linen tablecloths for the food tables.ucdavis.edu. BUTTERNUT SQUASH & BLACK BEAN ENCHILADAS #12;BUFFETS Prices include compostable serviceware and linen

  8. Wisconsin Natural Gas Prices

    U.S. Energy Information Administration (EIA) 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 Google5.10 5.24 5.29 5.84 5.08 4.25 1989-2015 Residential Price 11.35 12.13 12.37 12.57 11.71 11.24 1989-2015 Percentage of Total ResidentialDecade Year-0 Year-1 Year-24.47 5.79 5.68

  9. UPDATE February 2012 - The Food Crises: Predictive validation of a quantitative model of food prices including speculators and ethanol conversion

    E-Print Network [OSTI]

    Lagi, Marco; Bertrand, Karla Z; Bar-Yam, Yaneer

    2012-01-01

    Increases in global food prices have led to widespread hunger and social unrest---and an imperative to understand their causes. In a previous paper published in September 2011, we constructed for the first time a dynamic model that quantitatively agreed with food prices. Specifically, the model fit the FAO Food Price Index time series from January 2004 to March 2011, inclusive. The results showed that the dominant causes of price increases during this period were investor speculation and ethanol conversion. The model included investor trend following as well as shifting between commodities, equities and bonds to take advantage of increased expected returns. Here, we extend the food prices model to January 2012, without modifying the model but simply continuing its dynamics. The agreement is still precise, validating both the descriptive and predictive abilities of the analysis. Policy actions are needed to avoid a third speculative bubble that would cause prices to rise above recent peaks by the end of 2012.

  10. Strategic Pricing and Resource Allocation: Framework and Applications

    E-Print Network [OSTI]

    Ren, Shaolei

    2012-01-01

    varying wireless network capacities, electricity prices,electricity price, avail- able renewable energy supply, wireless

  11. Small Business Independent Market Research Program | National...

    National Nuclear Security Administration (NNSA)

    and evaluating, high-quality, top-performing, and competitively-priced small business suppliers for NNSA programs is the function of this tool. Once a program requirement is...

  12. Method for Developing Descriptions of Hard-to-Price Products: Results of the Telecommunications Product Study

    SciTech Connect (OSTI)

    Conrad, F.; Tonn, B.

    1999-05-01

    This report presents the results of a study to test a new method for developing descriptions of hard-to-price products. The Bureau of Labor Statistics (BLS) is responsible for collecting data to estimate price indices such as the Consumers Price Index (BLS) is responsible for collecting data to estimate price indices such as the Consumers Price Index (CPI). BLS accomplishes this task by sending field staff to places of business to price actual products. The field staff are given product checklists to help them determine whether products found today are comparable to products priced the previous month. Prices for non-comparable products are not included in the current month's price index calculations. A serious problem facing BLS is developing product checklists for dynamic product areas, new industries, and the service sector. It is difficult to keep checklists up-to-date and quite often simply to develop checklists for service industry products. Some people estimates that upwards of 50 % of US economic activity is not accounted for in the CPI

  13. Tarragon : a programming model for latency-hiding scientific computations

    E-Print Network [OSTI]

    Cicotti, Pietro

    2011-01-01

    Chapter 2 Programming Model . . . . . . . . . 2.1vi Chapter 6 Dynamic programming . . . . . . . . . . 6.1 Theof related programming model implementations. . . . . .

  14. Introduction Risk associated with an adverse price

    E-Print Network [OSTI]

    O'Laughlin, Jay

    Introduction Risk associated with an adverse price change (price risk) is a normal part commodities are sold suggests price risk is an unavoidable part of being involved in the industry. Producers that have significant price variability. Recent domestic farm policy changes and trade barrier reductions

  15. WHAT PRICE PEACE? A COMPREHENSIVE APPROACH

    E-Print Network [OSTI]

    Bateman, Ian J.

    WHAT PRICE PEACE? A COMPREHENSIVE APPROACH TO THE SPECIFICATION AND ESTIMATION OF HEDONIC HOUSING PRICE MODELS by Brett Day, Ian Bateman and Iain Lake CSERGE Working Paper EDM 03-08 WHAT PRICE PEACE? A COMPREHENSIVE APPROACH TO THE SPECIFICATION AND ESTIMATION OF HEDONIC HOUSING PRICE MODELS by Brett Day1 , Ian

  16. Conservation Market Price Adder Wally Gibson

    E-Print Network [OSTI]

    Conservation Market Price Adder Wally Gibson Power Committee Web meeting May 19, 2009 May 19, 2009 2 Overview · Market price does not equal the cost of avoided resource · Market price is still relevant for resource choices · Conservation market price adder · Not the same as the 10% credit in the Act

  17. Reservation Price Estimation by Adaptive Conjoint Analysis

    E-Print Network [OSTI]

    Schmidt-Thieme, Lars

    Reservation Price Estimation by Adaptive Conjoint Analysis Christoph Breidert1 , Michael Hahsler1 applied the eco- nomic definition of reservation price in combination with a conjoint study on product pricing. In this paper we present a novel approach to estimate the economic reser- vation price using

  18. Pricing QoS over transport networks

    E-Print Network [OSTI]

    Bouras, Christos

    Pricing QoS over transport networks Christos Bouras and Afrodite Sevasti The authors Christos and Technology Network (GRNET), Athens, Greece. Keywords Pricing, Performance measurement (quality), Transport allocation and service pricing, with particular needs for pricing mechanisms that preserve the potential

  19. Pricing Information Goods Hal R. Varian

    E-Print Network [OSTI]

    Varian, Hal R.

    on prices except the $1 a copy reproduction costs. Since this price is likely inadequate to recover fixed different prices. As we will see below, this will be true even for a producer who is only interested in costPricing Information Goods by Hal R. Varian University of Michigan June 1995 Current version: June

  20. Predictability of price movements in deregulated electricity markets

    E-Print Network [OSTI]

    Uritskaya, Olga Y

    2015-01-01

    In this paper we investigate predictability of electricity prices in the Canadian provinces of Alberta and Ontario, as well as in the US Mid-C market. Using scale-dependent detrended fluctuation analysis, spectral analysis, and the probability distribution analysis we show that the studied markets exhibit strongly anti-persistent properties suggesting that their dynamics can be predicted based on historic price records across the range of time scales from one hour to one month. For both Canadian markets, the price movements reveal three types of correlated behavior which can be used for forecasting. The discovered scenarios remain the same on different time scales up to one month as well as for on- and off- peak electricity data. These scenarios represent sharp increases of prices and are not present in the Mid-C market due to its lower volatility. We argue that extreme price movements in this market should follow the same tendency as the more volatile Canadian markets. The estimated values of the Pareto indi...

  1. SFpark: Pricing Parking by Demand

    E-Print Network [OSTI]

    Pierce, Gregory; Shoup, Donald

    2013-01-01

    to think about the price of parking just as they now thinkrepairs, and car purchases. Parking will become a part ofthe right occupancy for curb parking, almost everyone will

  2. The Price of Unwanted Parking

    E-Print Network [OSTI]

    Manville, Michael; Shoup, Donald

    2010-01-01

    02.pdf. The full report, “Parking requirements as a barrier02 The Price of Unwanted Parking Michael Manville and Donalda city requires on-site parking for all new housing, housing

  3. The world price of coal

    E-Print Network [OSTI]

    Ellerman, A. Denny

    1994-01-01

    A significant increase in the seaborne trade for coal over the past twenty years has unified formerly separate coal markets into a world market in which prices move in tandem. Due to its large domestic market, the United ...

  4. Table 1. Crude Oil Prices

    U.S. Energy Information Administration (EIA) Indexed Site

    can be the month of loading, the month of landing, or sometime between those events. Prices for crude oil can be determined at a time other than the acquisition date. See the...

  5. Transmission Services Product Pricing Validation

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

    and 09:00 PPT on the above effective date. On October 15, 2013, at 08:00 (PPT), Transmission Services will be updating the OASIS default product prices to reflect the 2014...

  6. Transmission Services Product Pricing Validation

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

    and 12:00 PPT on the above effective date. On October 1, 2015, at 11:00 (PPT), Transmission Services will be updating the OASIS default product prices to reflect the 2016...

  7. The Price of Feed Utilities. 

    E-Print Network [OSTI]

    Fraps, G. S. (George Stronach)

    1924-01-01

    investigations. -Table ?'--Texas selling prices and calculated values per ton, / 1919 ( 1920 1921 / 1922 1923 1 1923 1924 1 Av. I Jan. Apr. 1 Jan. Table 8-Pennsylvania .selling prices and calculated values per ton. I I I Wheat middlings-price $ 32 06 6 50... value ..::::I 411531 541391 59:49) 72:471 - $ - 1 27.76 - - 1920 ! 1921 1 19221 Av. I I 38.8%~4070j$0/~5 31.00 25.86 34.12 34.37 35.40 36.60 28.00 27.91 30.00 33.90 31.75 34.54 Wheat gray shorts-price 66 40 58 20 40.00 lculated value...

  8. Utility Marketing Strategies & Pricing Trends 

    E-Print Network [OSTI]

    Gilbert, J. S.

    1989-01-01

    their customers, not merely their energy purchasers. These include their fuel suppliers and regulators. When a utility is not trusted, the competitive situation is reduced to that of a commodity supplier in which price and terms constitute the whole...

  9. Asset Prices and Exchange Rates

    E-Print Network [OSTI]

    Pavlova, Anna

    2003-08-01

    This paper develops a simple two-country, two-good model, in which the real exchange rate, stock and bond prices are jointly determined. The model predicts that ...

  10. Price Quotes and Isotope Ordering

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

    Ordering Price Quotes and Isotope Ordering Isotopes produced at Los Alamos National Laboratory are saving lives, advancing cutting-edge research and keeping the U.S. safe. Isotope...

  11. Georgia Power- Solar Buyback Program

    Broader source: Energy.gov [DOE]

    Georgia Power, the state's largest utility, has established a green power program, that allows the company to purchase limited solar generation at a premium price based on other customers volunta...

  12. Asymmetric and nonlinear pass-through of crude oil prices to gasoline and natural gas prices

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Asymmetric and nonlinear pass-through of crude oil prices to gasoline and natural gas prices Ahmed distributed lags (NARDL) mod- el to examine the pass-through of crude oil prices into gasoline and natural gas-through of crude oil prices to the prices of refined petroleum products and other commodities. Most of them make

  13. Who is Exposed to Gas Prices? How Gasoline Prices Affect Automobile Manufacturers and Dealerships

    E-Print Network [OSTI]

    Rothman, Daniel

    Who is Exposed to Gas Prices? How Gasoline Prices Affect Automobile Manufacturers and Dealerships-busse@kellogg.northwestern.edu, knittel@mit.edu, f-zettelmeyer@kellogg.northwestern.edu #12;Who is Exposed to Gas Prices? How Gasoline of gasoline prices, and consumer responses to gasoline prices have been well studied. In this paper

  14. Testing The Effects Of Price Responsive Demand On Uniform Price And Soft-Cap Electricity Auctions

    E-Print Network [OSTI]

    Testing The Effects Of Price Responsive Demand On Uniform Price And Soft-Cap Electricity Auctions R describes a framework for testing the efficacy of a price-responsive load on a uniform price last accepted offer and a soft-cap market. Experimental evidence to date based on uniform price market testing has

  15. A Probabilistic Graphical Approach to Computing Electricity Price Duration Curves under Price and

    E-Print Network [OSTI]

    Oren, Shmuel S.

    A Probabilistic Graphical Approach to Computing Electricity Price Duration Curves under Price,oren}@ieor.berkeley.edu Abstract-- The electricity price duration curve (EPDC) repre- sents the probability distribution function of the electricity price considered as a random variable. The price uncertainty comes both from the demand side

  16. Natural Gas Prices Forecast Comparison--AEO vs. Natural Gas Markets

    E-Print Network [OSTI]

    Wong-Parodi, Gabrielle; Lekov, Alex; Dale, Larry

    2005-01-01

    Natural Gas Prices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Natural Gas Prices . . . . . . . . . . . . . . . . . . . . . . . . . .versus AEO and Henry Hub Natural Gas Prices . . . . . .

  17. Natural Gas Futures Prices (NYMEX)

    U.S. Energy Information Administration (EIA) Indexed Site

    15 View History Spot Price Henry Hub 2.75 2.69 2.69 2.70 2.70 2.61 1997-2015 Futures Prices Contract 1 2.72 2.68 2.68 2.68 2.68 2.57 1994-2015 Contract 2 2.75 2.70 2.76 2.76 2.75...

  18. Simulating the Dynamic Coupling of Market and Physical System Operations

    SciTech Connect (OSTI)

    Widergren, Steven E.; Roop, Joseph M.; Guttromson, Ross T.; Huang, Zhenyu

    2004-06-01

    Abstract-As energy trading products cover shorter time periods and demand response programs move toward real-time pricing, financial market-based activity impacts ever more directly the physical operation of the system. To begin to understand the complex interactions between the market-driven operation signals, the engineered controlled schemes, and the laws of physics, new system modeling and simulation techniques must be explored. This discussion describes requirements for new simulation tools to address such market transaction control interactions and an approach to capture the dynamic coupling between energy markets and the physical operation of the power system appropriate for dispatcher reaction time frames.

  19. Pricing and Referrals in Diffusion on Networks

    E-Print Network [OSTI]

    Leduc, Matt V; Johari, Ramesh

    2015-01-01

    When a new product or technology is introduced, potential consumers can learn its quality by trying the product, at a risk, or by letting others try it and free-riding on the information that they generate. We propose a dynamic game to study the adoption of technologies of uncertain value, when agents are connected by a network and a monopolist seller chooses a policy to maximize profits. Consumers with low degree (few friends) have incentives to adopt early, while consumers with high degree have incentives to free ride. The seller can induce high degree consumers to adopt early by offering referral incentives - rewards to early adopters whose friends buy in the second period. Referral incentives thus lead to a `double-threshold strategy' by which low and high-degree agents adopt the product early while middle-degree agents wait. We show that referral incentives are optimal on certain networks while intertemporal price discrimination (i.e., a first-period price discount) is optimal on others.

  20. Multi-scaling of wholesale electricity prices

    E-Print Network [OSTI]

    Caravelli, Francesco; Ududec, Cozmin; Ashtari, Ali; Di Matteo, Tiziana; Aste, Tomaso

    2015-01-01

    We empirically analyze the most volatile component of the electricity price time series from two North-American wholesale electricity markets. We show that these time series exhibit fluctuations which are not described by a Brownian Motion, as they show multi-scaling, high Hurst exponents and sharp price movements. We use the generalized Hurst exponent (GHE, $H(q)$) to show that although these time-series have strong cyclical components, the fluctuations exhibit persistent behaviour, i.e., $H(q)>0.5$. We investigate the effectiveness of the GHE as a predictive tool in a simple linear forecasting model, and study the forecast error as a function of $H(q)$, with $q=1$ and $q=2$. Our results suggest that the GHE can be used as prediction tool for these time series when the Hurst exponent is dynamically evaluated on rolling time windows of size $\\approx 50 - 100$ hours. These results are also compared to the case in which the cyclical components have been subtracted from the time series, showing the importance of...

  1. Comparison of AEO 2007 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2006-01-01

    Comparison of AEO 2007 Natural Gas Price Forecast to NYMEXs reference case long-term natural gas price forecasts fromAEO series to contemporaneous natural gas prices that can be

  2. Comparison of AEO 2009 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark

    2009-01-01

    Comparison of AEO 2009 Natural Gas Price Forecast to NYMEXs reference-case long-term natural gas price forecasts fromAEO series to contemporaneous natural gas prices that can be

  3. Comparison of AEO 2005 natural gas price forecast to NYMEX futures prices

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2004-01-01

    revisions to the EIA’s natural gas price forecasts in AEOsolely on the AEO 2005 natural gas price forecasts willComparison of AEO 2005 Natural Gas Price Forecast to NYMEX

  4. Comparison of AEO 2006 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2005-01-01

    Comparison of AEO 2006 Natural Gas Price Forecast to NYMEXs reference case long-term natural gas price forecasts fromAEO series to contemporaneous natural gas prices that can be

  5. Comparison of AEO 2010 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2010-01-01

    to estimate the base-case natural gas price forecast, but toComparison of AEO 2010 Natural Gas Price Forecast to NYMEXs reference-case long-term natural gas price forecasts from

  6. Comparison of AEO 2008 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01

    renewables can provide price certainty over longer terms. In6 This additiona l level of price discovery in longer-datedreplicate the long-term price stability that renewables can

  7. Index Revision, House Price Risk, and the Market for House Price Derivatives

    E-Print Network [OSTI]

    Deng, Yongheng; Quigley, John M.

    2008-01-01

    bias in repeat-sales home price indices. Freddie Mac workingpaper #05–03. Index Revision, House Price Risk, and theMarket for House Price Derivatives Calhoun, C. A. (1996).

  8. Comparison of AEO 2007 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2006-01-01

    Figure 9: Two Alternative Price Forecasts (denoted by openComparison of AEO 2007 Natural Gas Price Forecast toNYMEX Futures Prices Date: December 6, 2006 Introduction On

  9. Comparison of AEO 2007 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2006-01-01

    Figure 2 for 5-year price projections), the EIA has, in AEOgenerators to the same price projections from AEO 2001-2006.Strip to AEO 2007 Gas Price Projection Picking the Correct

  10. Comparison of AEO 2008 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01

    market-based forward price projections argues for furtherAEO 2008 and NYMEX price projections. Nominal ¢/kWh (at 7000that exceed the AEO price projection) described above. If

  11. Comparison of AEO 2009 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark

    2009-01-01

    range of different plausible price projections, using eitherreference-case fuel price projection from the EIA or someHenry Hub to the same price projections from AEO 2007-2008.

  12. Comparison of AEO 2005 natural gas price forecast to NYMEX futures prices

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2004-01-01

    revisions to the EIA’s natural gas price forecasts in AEOon the AEO 2005 natural gas price forecasts will likely onceComparison of AEO 2005 Natural Gas Price Forecast to NYMEX

  13. Comparison of AEO 2010 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2010-01-01

    to estimate the base-case natural gas price forecast, but toComparison of AEO 2010 Natural Gas Price Forecast to NYMEXcase long-term natural gas price forecasts from the AEO

  14. The Food Crises: A quantitative model of food prices including speculators and ethanol conversion

    E-Print Network [OSTI]

    Lagi, Marco; Bertrand, Karla Z; Bar-Yam, Yaneer

    2011-01-01

    Recent increases in basic food prices are severely impacting vulnerable populations worldwide. Proposed causes such as shortages of grain due to adverse weather, increasing meat consumption in China and India, conversion of corn to ethanol in the US, and investor speculation on commodity markets lead to widely differing implications for policy. A lack of clarity about which factors are responsible reinforces policy inaction. Here, for the first time, we construct a dynamic model that quantitatively agrees with food prices. The results show that the dominant causes of price increases are investor speculation and ethanol conversion. Models that just treat supply and demand are not consistent with the actual price dynamics. The two sharp peaks in 2007/2008 and 2010/2011 are specifically due to investor speculation, while an underlying upward trend is due to increasing demand from ethanol conversion. The model includes investor trend following as well as shifting between commodities, equities and bonds to take ad...

  15. Average Stumpage Prices Measured in Price per Ton for Forest Products Large Pine Sawtimber Small Pine Sawtimber Hardwood Sawtimber

    E-Print Network [OSTI]

    Average Stumpage Prices Measured in Price per Ton for Forest Products Large Pine Sawtimber Small Pine Sawtimber Hardwood Sawtimber Year Unweighte d Average Prices Weighted Average Prices Average of Unweighted and Weighted Prices Unweighted Average Prices Weighted Average Prices Average of Unweighted

  16. Average Stumpage Prices Measured in Price per Ton for Forest Products Large Pine Sawtimber Small Pine Sawtimber Hardwood Sawtimber

    E-Print Network [OSTI]

    Average Stumpage Prices Measured in Price per Ton for Forest Products Large Pine Sawtimber Small Pine Sawtimber Hardwood Sawtimber Year Unweighted Average Prices Weighted Average Prices Average of Unweighted and Weighted Prices Unweighted Average Prices Weighted Average Prices Average of Unweighted

  17. Average Stumpage Prices Measured in Price per Ton for Forest Products Large Pine Sawtimber Small Pine Sawtimber Hardwood Sawtimber

    E-Print Network [OSTI]

    Average Stumpage Prices Measured in Price per Ton for Forest Products Large Pine Sawtimber Small Pine Sawtimber Hardwood Sawtimber Year Unweighted Average Prices Weighted Average Prices Simple average of Unweighted and Weighted Prices Unweighted Average Prices Weighted Average Prices Simple average of Unweighted

  18. Comparison of AEO 2008 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01

    need to consider coal and other fuel prices. This work wascoal-fired generation, for example), for several reasons: (1) price

  19. Cotton hedging strategies using prices for Texas High Plains and Rio Grande Valley areas 

    E-Print Network [OSTI]

    Howard, John V

    1979-01-01

    as futures prices fall). The technical strategies were designed to be dynamic in nature i. e. , entering and leaving the futures market as conditions dictated. These strategies consisted of different combinations of short and lory moving averages of daily... prices. A four day weighted average in . " 'or was used in conjunction with selected average systems. The results of each hedging strategy were compared with the re- sults of the cash-market-only strategies. The cash strategies were (a) to sell...

  20. Understanding Trends in Wind Turbine Prices Over the Past Decade

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01

    time series of fossil fuel prices come from the Energyprices. Though fossil fuel prices may have been somewhatfossil fuels analyzed are traded in a global market (although price

  1. Essays on the Relationship of Competition and Firms' Price Responses 

    E-Print Network [OSTI]

    Lee, Sungbok

    2012-02-14

    This dissertation investigates the relationship of competition and firms' price responses, by analyzing: i) whether new entry reduces price discrimination, ii) when incumbents reduce price discrimination preemptively in ...

  2. Tariff-based analysis of commercial building electricity prices

    E-Print Network [OSTI]

    Coughlin, Katie M.; Bolduc, Chris A.; Rosenquist, Greg J.; Van Buskirk, Robert D.; McMahon, James E.

    2008-01-01

    4 Calculation of Electricity Prices 4.1 Averageaverage seasonal and annual electricity prices by region inbased annual average electricity price vs. annual energy

  3. Prices, capacities and service quality in a congestible Bertrand duopoly

    E-Print Network [OSTI]

    De Borger, Bruno; Van Dender, Kurt

    2005-01-01

    Dender, Kurt. 2004. “Duopoly prices under congested access,”of demand on capacities and prices, see (3), has been madefacilities, even when price discrimination is allowed. r dq

  4. Flexible Demand Management under Time-Varying Prices

    E-Print Network [OSTI]

    Liang, Yong

    2012-01-01

    2.4 When Price Is Uncertain . . . . . . . . . .of the Parameters of the Price Structures . . . . . . .Day in a Typical Hourly Average Electricity Prices . . . . .

  5. INTERIM VALIDATION REPORT MIDDLE DISTILLATE PRICE MONITORING SYSTEM

    E-Print Network [OSTI]

    Hopelain, D.G.

    2011-01-01

    of actual prices exceeds -the projections of regulatedbe compared to a projection of what price trends would haveand projections related to supplies, demands, margins, and prices. --------

  6. Effect of Energy Efficiency Standards on Natural Gas Prices

    E-Print Network [OSTI]

    Carnall, Michael

    2012-01-01

    of Conservation on the Natural Gas Price,? memo to RichardEfficiency Standards on Natural Gas Prices Michael Carnall,Efficiency Standards on Natural Gas Prices Michael Carnall,

  7. Life Cycle Cost Discount Rates and Energy Price Projections ...

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

    Life Cycle Cost Discount Rates and Energy Price Projections Life Cycle Cost Discount Rates and Energy Price Projections Text file containing energy price projections underlying the...

  8. Making the Traffic Operations Case for Congestion Pricing: Operational Impacts of Congestion Pricing

    SciTech Connect (OSTI)

    Chin, Shih-Miao [ORNL; Hu, Patricia S [ORNL; Davidson, Diane [ORNL

    2011-02-01

    Congestion begins when an excess of vehicles on a segment of roadway at a given time, resulting in speeds that are significantly slower than normal or 'free flow' speeds. Congestion often means stop-and-go traffic. The transition occurs when vehicle density (the number of vehicles per mile in a lane) exceeds a critical level. Once traffic enters a state of congestion, recovery or time to return to a free-flow state is lengthy; and during the recovery process, delay continues to accumulate. The breakdown in speed and flow greatly impedes the efficient operation of the freeway system, resulting in economic, mobility, environmental and safety problems. Freeways are designed to function as access-controlled highways characterized by uninterrupted traffic flow so references to freeway performance relate primarily to the quality of traffic flow or traffic conditions as experienced by users of the freeway. The maximum flow or capacity of a freeway segment is reached while traffic is moving freely. As a result, freeways are most productive when they carry capacity flows at 60 mph, whereas lower speeds impose freeway delay, resulting in bottlenecks. Bottlenecks may be caused by physical disruptions, such as a reduced number of lanes, a change in grade, or an on-ramp with a short merge lane. This type of bottleneck occurs on a predictable or 'recurrent' basis at the same time of day and same day of week. Recurrent congestion totals 45% of congestion and is primarily from bottlenecks (40%) as well as inadequate signal timing (5%). Nonrecurring bottlenecks result from crashes, work zone disruptions, adverse weather conditions, and special events that create surges in demand and that account for over 55% of experienced congestion. Figure 1.1 shows that nonrecurring congestion is composed of traffic incidents (25%), severe weather (15%), work zones, (10%), and special events (5%). Between 1995 and 2005, the average percentage change in increased peak traveler delay, based on hours spent in traffic in a year, grew by 22% as the national average of hours spent in delay grew from 36 hours to 44 hours. Peak delay per traveler grew one-third in medium-size urban areas over the 10 year period. The traffic engineering community has developed an arsenal of integrated tools to mitigate the impacts of congestion on freeway throughput and performance, including pricing of capacity to manage demand for travel. Congestion pricing is a strategy which dynamically matches demand with available capacity. A congestion price is a user fee equal to the added cost imposed on other travelers as a result of the last traveler's entry into the highway network. The concept is based on the idea that motorists should pay for the additional congestion they create when entering a congested road. The concept calls for fees to vary according to the level of congestion with the price mechanism applied to make travelers more fully aware of the congestion externality they impose on other travelers and the system itself. The operational rationales for the institution of pricing strategies are to improve the efficiency of operations in a corridor and/or to better manage congestion. To this end, the objectives of this project were to: (1) Better understand and quantify the impacts of congestion pricing strategies on traffic operations through the study of actual projects, and (2) Better understand and quantify the impacts of congestion pricing strategies on traffic operations through the use of modeling and other analytical methods. Specifically, the project was to identify credible analytical procedures that FHWA can use to quantify the impacts of various congestion pricing strategies on traffic flow (throughput) and congestion.

  9. Mortgage default and student outcomes, the solar home price premium, and the magnitude of housing price declines

    E-Print Network [OSTI]

    Dastrup, Samuel R.

    2011-01-01

    effect of falling home prices on small business borrowing,”2 Understanding the Solar Home Price Premium: Electricitysocial influences on price,” Journal of Political Economy,

  10. 5 Questions about the SunShot Prize for Minh Le - Solar Program...

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

    this new program takes aim at soft costs, which are essentially what we think of as "the price to plug in." Can you explain the challenge with soft costs? Prices for solar...

  11. Diesel prices continue to increase

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas Usage FormDiesel prices continueDiesel prices

  12. Diesel prices continue to rise

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas Usage FormDiesel pricesDiesel prices

  13. Diesel prices up this week

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas UsageDiesel pricesDiesel prices top $4

  14. PREDICTING AGRI-COMMODITY PRICES: AN ASSET PRICING APPROACH

    E-Print Network [OSTI]

    Kaminsky, Werner

    movements is crucial for ination control and production planning. It is especially relevant to developing reading of future food price movements can be an invaluable budgetary planning tool for various government heavily on commodity productions for growth and export, governments often distribute foodgrains

  15. DSOS/SDOS Programming: New Tools for

    E-Print Network [OSTI]

    Singh, Jaswinder Pal

    Option pricing with moment information The optimal power flow (OPF) problem Sensor network localization Spread of epidemicsDynamics of prices Robotics Control #12;Lyapunov's theorem for local stability 6 Existence of Lyapunov function such that #12;7 Global stability GAS Example. Output of SDP solver: #12

  16. Stochastic programming approach to process flexibility design

    E-Print Network [OSTI]

    Mak, Ho-Yin; Shen, Zuo-Jun Max

    2009-01-01

    and approximate dynamic programming (e.g. , Topaloglu 2009),010-9062-3 Stochastic programming approach to process ?an integer stochastic programming formu- lation as an

  17. Essays on macroeconomic risks and stock prices

    E-Print Network [OSTI]

    Duarte, Fernando Manuel

    2011-01-01

    In this thesis, I study the relationship between macroeconomic risks and asset prices. In the first chapter, I establish that inflation risk is priced in the cross-section of stock returns: stocks that have low returns ...

  18. Essays on Pricing Behaviors of Energy Commodities 

    E-Print Network [OSTI]

    Qin, Xiaoyan

    2012-07-16

    This dissertation investigates the pricing behaviors of two major energy commodities, U.S. natural gas and crude oil, using times series models. It examines the relationships between U.S. natural gas price variations and changes in market...

  19. Spot pricing of public utility services

    E-Print Network [OSTI]

    Bohn, Roger E.

    1982-01-01

    This thesis analyzes how public utility prices should be changed over time and space. Earlier static and non spatial models of public utility pricing emerge as special cases of the theory developed here. Electricity is ...

  20. Essays on equity prices and market structures 

    E-Print Network [OSTI]

    Wu, Juan

    2009-05-15

    In the first essay, we provide new evidence on the relationship between order flow and prices, an issue that is central to asset pricing and market microstructure. We examine proprietary data on a broad panel of NYSE-listed ...

  1. Alternative Fuel Price Report - March 28, 2005

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    At the national average gasoline price of 2.109 per gallon, the fuel cost of an electric Ranger is less than that of its conventional counterpart for electricity price up...

  2. Essays on Risk Sharing and Pricing

    E-Print Network [OSTI]

    Tran, Ngoc-Khanh

    2012-01-01

    This thesis consists of three chapters in asset pricing. Chapter 1 considers an international asset pricing setting with traded and non-traded out puts. It shows that output fluctuations in nontraded industries are a central ...

  3. Real Estate Prices and Economic Cycles

    E-Print Network [OSTI]

    Quigley, John M.

    2002-01-01

    Prices,” Journal of Real Estate Finance and Economics, 3,Mortgage Default Risk and Real Estate Prices: The Use ofFutures and Options in Real Estate,” Journal of Housing

  4. Essays on trades and security prices

    E-Print Network [OSTI]

    Obizhaeva, Anna

    2007-01-01

    This thesis consists of three chapters that investigate the complex relation between security prices and trades of market participants. In the first chapter, I study the evolution of stock prices after trades with different ...

  5. Three essays on product quality and pricing

    E-Print Network [OSTI]

    Nistor, Cristina (Cristina Daniela)

    2012-01-01

    This dissertation consists of three essays on product quality and pricing. Essay 1: Pricing and Quality Provision in a Channel: A Model of Efficient Relational Contracts The first essay analyzes how quality concerns affect ...

  6. Demand and Price Volatility: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01

    capita terms. When crude oil prices are used, these are thedriven by the world crude oil price rather than by exchange-how consumers think about oil prices and price expectations,

  7. INTERIM VALIDATION REPORT MIDDLE DISTILLATE PRICE MONITORING SYSTEM

    E-Print Network [OSTI]

    Hopelain, D.G.

    2011-01-01

    1977-1978 HEATING OIL PRICES II-1 II-3 II-3 Wholesale PricesMonthly U.S. Heating Oil Prices, 1970 - 1978 . . A-16 .H-3 .continuous No. 2 heating oil price information from 1970 to

  8. Understanding Trends in Wind Turbine Prices Over the Past Decade

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01

    In comparison, the rise in coal prices has been slower andindustrial price. Finally, coal prices come from Table 4.1Fiberglass Energy Prices Diesel Coal Natural Gas Currency

  9. Price Changes in the Gasoline Market - Are Midwestern Gasoline Prices Downward Sticky?

    Reports and Publications (EIA)

    1999-01-01

    The report concentrates on regional gasoline prices in the Midwest from October 1992 through June 1998.

  10. Export prices and increasing world competition: evidence from French, German, and Italian pricing behavior

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Export prices and increasing world competition: evidence from French, German, and Italian pricing,version1-3Apr2014 #12;Export prices and increasing world competition: evidence from French, German, and Italian pricing behavior Sarah Guillou Stefano Schiavo July 2007 Abstract The paper compares the export

  11. Business Cycle Effects on Metal and Oil Prices: Understanding the Price Retreat of 2008-9

    E-Print Network [OSTI]

    1 Business Cycle Effects on Metal and Oil Prices: Understanding the Price Retreat of 2008 of macroeconomic business cycles on six metals traded on the London Metal Exchange and oil prices. Reduced-form equations for real metal prices that depend separately on the trend and cyclical components of global real

  12. A comparison of option prices under different pricing measures in a stochastic volatility model

    E-Print Network [OSTI]

    A comparison of option prices under different pricing measures in a stochastic volatility model option prices in an incomplete stochastic volatility model with correlation. In a general setting, we prove an ordering result which says that prices for European options with convex payoffs are decreasing

  13. RECOVERING A TIME-HOMOGENEOUS STOCK PRICE PROCESS FROM PERPETUAL OPTION PRICES

    E-Print Network [OSTI]

    RECOVERING A TIME-HOMOGENEOUS STOCK PRICE PROCESS FROM PERPETUAL OPTION PRICES ERIK EKSTR¨OM AND DAVID HOBSON Abstract. It is well-known how to determine the price of perpetual American options if the underlying stock price is a time-homogeneous diffusion. In the present paper we consider the inverse problem

  14. Approximation Methods for Pricing Problems under the Nested Logit Model with Price Bounds

    E-Print Network [OSTI]

    Rusmevichientong, Paat

    Approximation Methods for Pricing Problems under the Nested Logit Model with Price Bounds W@orie.cornell.edu September 5, 2013 Abstract We consider two variants of a pricing problem under the nested logit model. In the first variant, the set of products offered to customers is fixed and we want to determine the prices

  15. A uniform price auction with locational price adjustments for competitive electricity markets

    E-Print Network [OSTI]

    A uniform price auction with locational price adjustments for competitive electricity markets Price auction is an appropriate institution. However, an efficient implementation of this auction in an electricity context requires that the offers used in the auction reflect the appropriate locational price

  16. Furniture Standards Contract Price Guide

    E-Print Network [OSTI]

    Sussex, University of

    1 Furniture Standards Contract Price Guide Issue 1 - July 2007 www.broadstock.co.uk University of Sussex #12;2 Contents Office 5 1600 x 1600 Universal workstations 6 Double wave desks 7 Fixed tables 7 Circular tables 7 Bench 8 Screens 10 Electrics 12 Storage 13 Pedestals 14 Magnus wooden storage 15 Metrix

  17. Capital Markets and the Pricing

    E-Print Network [OSTI]

    Schubart, Christoph

    Portfolios 10.7 Measuring Systematic Risk 10.8 Beta and the Cost of Capital #12;Copyright ©2014 Pearson Asset Pricing Model to calculate the cost of capital for a particular project. 12.Explain why in an efficient capital market the cost of capital depends on systematic risk rather than diversifiable risk. #12

  18. President's House Price's Fork Road

    E-Print Network [OSTI]

    President's House Price's Fork Road Inn at Virginia Tech and Skelton Conference Center HOKIE BIKE HUB Media Hall Fralin Biotechnology Center Greenhouses Air Conditioning Plant Southgate Center Addition Sandy South Drillfield Drive WestCampusDrive Alumni Mall Washington Street SpringRoad Sterre Perry Street Kent

  19. Why Do Motor Gasoline Prices Vary Regionally? California Case Study

    Reports and Publications (EIA)

    1998-01-01

    Analysis of the difference between the retail gasoline prices in California and the average U.S. retail prices.

  20. Understanding Trends in Wind Turbine Prices Over the Past Decade

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01

    this period. Diesel fuel and natural gas prices experiencedmonthly price estimate for all types of highway diesel fuel.

  1. WENO and Blended BDF Discretizations for Option Pricing

    E-Print Network [OSTI]

    Oosterlee, Cornelis W. "Kees"

    values does not only depend on the stock price, but also on other functions of the price development

  2. Strategic Pricing and Resource Allocation: Framework and Applications

    E-Print Network [OSTI]

    Ren, Shaolei

    2012-01-01

    electric- ity price and renewable energy supply. . . . . . .price, available renewable energy supply, wireless networkprice, available renewable energy supply, wireless network

  3. Congestion Pricing for Resource Control in WCDMA

    E-Print Network [OSTI]

    Stylianou, Yannis

    1 Congestion Pricing for Resource Control in WCDMA Vasilios A. Siris ICS-FORTH, Crete, Greece & signal quality, and power Congestion pricing for elastic traffic captures congestion in wireless & wired Alternative application of congestion pricing Extensions: hybrid code/time division multiplexing rate

  4. MODELS FOR ELECTRICITY PRICES Avishka Raghoonundun

    E-Print Network [OSTI]

    Fournier, John J.F.

    MODELS FOR ELECTRICITY PRICES by Avishka Raghoonundun BSc (Hons),University of Mauritius,2007 M markets has led to higher uncertainty in electricity prices. Electricity, as a commodity, differs from-storability restriction, the most con- spicuous one is the presence of large spikes in electricity prices. Another outcome

  5. What's Driving Oil Prices? James L. Smith

    E-Print Network [OSTI]

    O'Donnell, Tom

    1 What's Driving Oil Prices? James L. Smith Cary M. Maguire Chair in Oil & Gas Management Critical Issues in Energy Federal Reserve Bank of Dallas November 2, 2006 The Price of OPEC Oil ($/bbl) $0 $20 $40 $60 $80 1970 1975 1980 1985 1990 1995 2000 2005 Real Price ($2005) #12;2 Hubbert's Curve (Peak Oil

  6. Comparison of option prices in semimartingale models

    E-Print Network [OSTI]

    Rüschendorf, Ludger

    Comparison of option prices in semimartingale models Jan Bergenthum, Ludger R¨uschendorf Department.r.t. martingale pricing measures. The comparison is with respect to convex and also with respect to directionally characteristics of the stochastic logarithm of the stock price processes S, S . As examples we discuss

  7. Acquisition Management Under Fluctuating Raw Material Prices

    E-Print Network [OSTI]

    Yang, Jian

    Acquisition Management Under Fluctuating Raw Material Prices Jian Yang Department of Industrial@gsu.edu W e study a continuous-review acquisition problem, in which the raw material price follows that the order-up-to levels are decreasing at the current price level. At the same time, our computational study

  8. Optimal Prices for Finite Capacity Queueing Systems

    E-Print Network [OSTI]

    Ziya, Serhan

    Optimal Prices for Finite Capacity Queueing Systems Serhan Ziya Department of Statistics prove a lower bound on the optimal price for a fairly large class of blocking systems with general arrival and service processes, determine optimal price expressions for M/M/1/m and M/GI/s/s systems

  9. Bride Price and Female Education Nava Ashraf

    E-Print Network [OSTI]

    Harris, Jack

    Bride Price and Female Education Nava Ashraf Natalie Bau Nathan Nunn§ Alessandra Voena¶ November 1 also inspire condemnation. The custom of bride price, prevalent throughout sub-Saharan Africa that previously found small eects on female enrollment mask heterogeneity by bride price tradition. Ethnic groups

  10. TENDER AND ACCEPTANCE FORM STIPULATED PRICE CONTRACT

    E-Print Network [OSTI]

    deYoung, Brad

    TENDER AND ACCEPTANCE FORM FOR STIPULATED PRICE CONTRACT June 2013 #12;Stipulated Price Contract with that of all Subcontractors working on the Project. (See Appendix "D" for sample schedule that must be submitted within 10 days #12;Stipulated Price Contract Tender and Acceptance Form Page 2 of contract award

  11. USAGE-BASED PRICING DIFFERENTIATION FOR

    E-Print Network [OSTI]

    Huang, Jianwei

    cost, complex pricing schemes are not "customer- friendly" and discourage customers from usingCHAPTER 1 USAGE-BASED PRICING DIFFERENTIATION FOR COMMUNICATION NETWORKS: INCOMPLETE INFORMATION AND LIMITED PRICING CHOICES Shuqin Li, Ph.D.1 and Jianwei Huang, Ph.D.2 1 Research and Innovation, Alcatel

  12. Accounting for fuel price risk when comparing renewable to gas-fired generation: the role of forward natural gas prices

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan; Golove, William

    2004-01-01

    Risk: Using Forward Natural Gas Prices Instead of Gas Price2001). “Which way the natural gas price: an attempt toThe Role of Forward Natural Gas Prices Mark Bolinger, Ryan

  13. Determining Price Reasonableness in Federal ESPCs

    SciTech Connect (OSTI)

    Shonder, J.A.

    2005-03-08

    This document reports the findings and implementation recommendations of the Price Reasonableness Working Group to the Federal ESPC Steering Committee. The working group was formed to address concerns of agencies and oversight organizations related to pricing and fair and reasonable price determination in federal energy savings performance contracts (ESPCs). This report comprises the working group's recommendations and is the proposed draft of a training curriculum on fair and reasonable price determination for users of federal ESPCs. The report includes: (1) A review of federal regulations applicable to determining price reasonableness of federal ESPCs (section 2), (2) Brief descriptions of the techniques described in Federal Acquisition Regulations (FAR) 15.404-1 and their applicability to ESPCs (section 3), and (3) Recommended strategies and procedures for cost-effectively completing price reasonableness determinations (sections 4). Agencies have struggled with fair and reasonable price determinations in their ESPCs primarily because this alternative financing vehicle is relatively new and relatively rare in the federal sector. The methods of determining price reasonableness most familiar to federal contracting officers (price competition based on the government's design and specifications, in particular) are generally not applicable to ESPCs. The regulatory requirements for determining price reasonableness in federal ESPCs have also been misunderstood, as federal procurement professionals who are inexperienced with ESPCs are further confused by multiple directives, including Executive Order 13123, which stresses life-cycle cost-effectiveness. Uncertainty about applicable regulations and inconsistent practice and documentation among agencies have fueled claims that price reasonableness determinations have not been sufficiently rigorous in federal ESPCs or that the prices paid in ESPCs are generally higher than the prices paid for similar goods and services obtained through conventional procurements. While claims of excessive prices are largely unsubstantiated and based on anecdotal evidence, the perception that there is a problem is shared by many in the ESPC community and has been noted by auditors and oversight organizations. The Price Reasonableness Working Group determined that a more formal emphasis on FAR 15.404-1 in the ESPC process could remove much of the doubt about price reasonableness determinations. The working group's recommended consensus policy on price reasonableness stresses the price analysis techniques described in the FAR that are applicable to ESPCs and includes guidance for agencies use of these techniques in determining price reasonableness for their ESPC delivery orders. The recommended policy and guidance, if communicated to federal ESPC stakeholders, can ensure that agencies will comply with the FAR in awarding ESPCs, obtain fair and reasonable prices and best value for the government, and follow procedures that provide auditable documentation of due diligence in price reasonableness determinations.

  14. Transportation Science and the Dynamics of

    E-Print Network [OSTI]

    Nagurney, Anna

    water or electricity? 1952 - Samuelson gave a rigorous mathematical formulation of spatial price: Unification of Evolutionary Variational Inequalities and Projected Dynamical Systems #12;Components of Common Stations, Plants Pipelines, Transmission Lines Water, Gas, Oil, Electricity #12;US Railroad Freight Flows

  15. Dynamic Networks: Recent Results and Applications

    E-Print Network [OSTI]

    Nagurney, Anna

    water or electricity? 1952 - Samuelson gave a rigorous mathematical formulation of spatial price: Unification of Evolutionary Variational Inequalities and Projected Dynamical Systems #12;Components of Common Stations, Plants Pipelines, Transmission Lines Water, Gas, Oil, Electricity #12;US Railroad Freight Flows

  16. Mathematical Programming techniques in Water Network Optimization

    E-Print Network [OSTI]

    2014-03-05

    Mar 5, 2014 ... mand forecasts and electricity price tariffs are usually given for discrete and not ..... Tanks can make the operation of the network more flexible. In a dynamic setting, ...... Gas transmission networks are con- sidered, with flow ...

  17. Measuring and Explaining Electricity Price Changes in Restructured States

    SciTech Connect (OSTI)

    Fagan, Mark L.

    2006-06-15

    An effort to determine the effect of restructuring on prices finds that, on average, prices for industrial customers in restructured states were lower, relative to predicted prices, than prices for industrial customers in non-restructured states. This preliminary analysis also finds that these price changes are explained primarily by high pre-restructuring prices, not whether or not a state restructured. (author)

  18. Price regulation for waste hauling franchises in California: an examination of how regulators regulate pricing and the effects of competition on regulated markets

    E-Print Network [OSTI]

    Seltzer, Steven A.

    2011-01-01

    of Haulers on Price Ratios.. Table 14: Projected PriceCompared to Actual Price Ratios…………… Table 15: Analysis= ? + ß 1 LNHAUL + u TABLE 12 Price Differentials and the

  19. Price regulation for waste hauling franchises in California: an examination of how regulators regulate pricing and the effects of competition on regulated markets

    E-Print Network [OSTI]

    Seltzer, Steven A.

    2011-01-01

    Thomadakis, Stavros. “Price Regulation Under Uncertainty in698. Bös, Dieter. Pricing and Price Regulation. Elsevier.Optimal Structure of Public Prices. ” The American Economic

  20. Demand Response: Load Management Programs 

    E-Print Network [OSTI]

    Simon, J.

    2012-01-01

    Management Programs CATEE Conference October, 2012 Agenda Outline I. General Demand Response Definition II. General Demand Response Program Rules III. CenterPoint Commercial Program IV. CenterPoint Residential Programs V. Residential Discussion... Points Demand Response Definition of load management per energy efficiency rule 25.181: ? Load control activities that result in a reduction in peak demand, or a shifting of energy usage from a peak to an off-peak period or from high-price periods...