YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Journal of Water Resources Planning and Management
    • View Item
    •   YE&T Library
    • ASCE
    • Journal of Water Resources Planning and Management
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Evaluating Transition Probabilities for a Stochastic Dynamic Programming Model Used in Water System Optimization

    Source: Journal of Water Resources Planning and Management:;2018:;Volume ( 144 ):;issue: 002
    Author:
    Haguma Didier;Leconte Robert;Côté Pascal
    DOI: 10.1061/(ASCE)WR.1943-5452.0000883
    Publisher: American Society of Civil Engineers
    Abstract: Stochastic dynamic programming is one of the most widely used optimization techniques for water system optimization. In this study, four methods for estimating transition probabilities have been evaluated to determine how they influence water system performance for short-term operating policies. The methods are counting, ordinary least-squares regression, robust linear model regression and multivariate conditional distribution. Two discretization schemes—equal-width interval and equal-frequency and data transformation—have also been included in the study as sources of uncertainty. The study was carried out for three water systems: the Outardes River, Manicouagan River, and Lac Saint-Jean, located in Quebec, Canada. The results show that the water system configuration played a significant role in the performance of the transition probabilities. The discretization scheme and data transformation had a considerable influence on the counting and regression methods, whereas they had less of an impact on the multivariate conditional distribution. The robust linear models with equal-frequency discretization without data transformation gave satisfactory results for all the water systems.
    • Download: (1.247Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Evaluating Transition Probabilities for a Stochastic Dynamic Programming Model Used in Water System Optimization

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4249986
    Collections
    • Journal of Water Resources Planning and Management

    Show full item record

    contributor authorHaguma Didier;Leconte Robert;Côté Pascal
    date accessioned2019-02-26T07:52:29Z
    date available2019-02-26T07:52:29Z
    date issued2018
    identifier other%28ASCE%29WR.1943-5452.0000883.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4249986
    description abstractStochastic dynamic programming is one of the most widely used optimization techniques for water system optimization. In this study, four methods for estimating transition probabilities have been evaluated to determine how they influence water system performance for short-term operating policies. The methods are counting, ordinary least-squares regression, robust linear model regression and multivariate conditional distribution. Two discretization schemes—equal-width interval and equal-frequency and data transformation—have also been included in the study as sources of uncertainty. The study was carried out for three water systems: the Outardes River, Manicouagan River, and Lac Saint-Jean, located in Quebec, Canada. The results show that the water system configuration played a significant role in the performance of the transition probabilities. The discretization scheme and data transformation had a considerable influence on the counting and regression methods, whereas they had less of an impact on the multivariate conditional distribution. The robust linear models with equal-frequency discretization without data transformation gave satisfactory results for all the water systems.
    publisherAmerican Society of Civil Engineers
    titleEvaluating Transition Probabilities for a Stochastic Dynamic Programming Model Used in Water System Optimization
    typeJournal Paper
    journal volume144
    journal issue2
    journal titleJournal of Water Resources Planning and Management
    identifier doi10.1061/(ASCE)WR.1943-5452.0000883
    page4017090
    treeJournal of Water Resources Planning and Management:;2018:;Volume ( 144 ):;issue: 002
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian