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Forecasting in optimizing dual system for energy generation and irrigation

    Research output: Contribution to journal › Article › peer-review

    7 Scopus citations

    Abstract

    A nonlinear decision-control model for real-time operation of a dualpurpose water system for electrical energy generation and irrigation is presented. Maximal return depends on the implemented flow-rate forecasting method and varying costs for energy sold to an external utility. The results of two forecasting models and the historical data are compared, indicating the importance of an accurate data base for supporting the decision towards optimal operation of time-dependent water systems.

    Original languageEnglish
    Pages (from-to)287-300
    Number of pages14
    JournalJournal of Water Resources Planning and Management
    Volume117
    Issue number3
    DOIs
    StatePublished - 1 Jan 1991

    ASJC Scopus subject areas

    • Civil and Structural Engineering
    • Geography, Planning and Development
    • Water Science and Technology
    • Management, Monitoring, Policy and Law

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