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    Optimal Retailer Load Estimates Using Stochastic Dynamic Programming

    Source: Journal of Energy Engineering:;2004:;Volume ( 130 ):;issue: 001
    Author:
    Steven A. Gabriel
    ,
    Prawat Sahakij
    ,
    Swaminathan Balakrishnan
    DOI: 10.1061/(ASCE)0733-9402(2004)130:1(1)
    Publisher: American Society of Civil Engineers
    Abstract: In this paper, we describe a stochastic dynamic programming methodology for determining optimal forward load estimates for electric power retailers to their suppliers. This work describes both a model as well as results based on real data for the Electric Reliability Council of Texas market and provides insights useful for planning purposes for electric power retailers in the face of uncertain market prices and end-user loads.
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      Optimal Retailer Load Estimates Using Stochastic Dynamic Programming

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/19130
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    • Journal of Energy Engineering

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    contributor authorSteven A. Gabriel
    contributor authorPrawat Sahakij
    contributor authorSwaminathan Balakrishnan
    date accessioned2017-05-08T20:32:38Z
    date available2017-05-08T20:32:38Z
    date copyrightApril 2004
    date issued2004
    identifier other%28asce%290733-9402%282004%29130%3A1%281%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/19130
    description abstractIn this paper, we describe a stochastic dynamic programming methodology for determining optimal forward load estimates for electric power retailers to their suppliers. This work describes both a model as well as results based on real data for the Electric Reliability Council of Texas market and provides insights useful for planning purposes for electric power retailers in the face of uncertain market prices and end-user loads.
    publisherAmerican Society of Civil Engineers
    titleOptimal Retailer Load Estimates Using Stochastic Dynamic Programming
    typeJournal Paper
    journal volume130
    journal issue1
    journal titleJournal of Energy Engineering
    identifier doi10.1061/(ASCE)0733-9402(2004)130:1(1)
    treeJournal of Energy Engineering:;2004:;Volume ( 130 ):;issue: 001
    contenttypeFulltext
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