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Neuro-dynamic programming for the efficient management of reservoir networks

Author

Listed:
  • de Rigo, Daniele
  • Rizzoli, Andrea Emilio
  • Soncini-Sessa, Rodolfo
  • Weber, Enrico
  • Zenesi, Pietro

Abstract

The management of a water reservoir can be improved thanks to the use of stochastic dynamic programming (SDP) to generate management policies which are efficient with respect to the management objectives (flood protection, water supply for irrigation and hydropower generation, respect of minimum environmental flows, etc.). The improvement in efficiency is even more remarkable when the problem involves a reservoir network, that is a set of reservoirs which are interconnected. Unfortunately, SDP is affected by the “curse of dimensionality” and computing time and computer memory occupation can quickly become unbearable. Neuro-dynamic programming (NDP) can sensibly reduce the demands on computer time and memory thanks to the approximation of Bellman functions with Artificial Neural Networks (ANNs). In this paper an application of neuro-dynamic programming to the problem of the management of reservoir networks is presented.

Suggested Citation

  • de Rigo, Daniele & Rizzoli, Andrea Emilio & Soncini-Sessa, Rodolfo & Weber, Enrico & Zenesi, Pietro, 2001. "Neuro-dynamic programming for the efficient management of reservoir networks," MPRA Paper 42233, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:42233
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    File URL: https://mpra.ub.uni-muenchen.de/42233/1/MPRA_paper_42233.pdf
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    Cited by:

    1. de Rigo, Daniele, 2013. "Software uncertainty in integrated environmental modelling: the role of semantics and open science," MPRA Paper 44201, University Library of Munich, Germany.

    More about this item

    Keywords

    Water reservoir management; Stochastic dynamic programming; Neuro-dynamic programming;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • P28 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Natural Resources; Environment
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water
    • Q0 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General
    • N5 - Economic History - - Agriculture, Natural Resources, Environment and Extractive Industries
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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