Water resources research, 8. A stochastic optimization model for real -time operation of reservoirs using uncertain forecasts / Houck, M. H.

Public ISBD Titre de série : Water resources research, 8 Titre : A stochastic optimization model for real -time operation of reservoirs using uncertain forecasts Type de document : texte imprimé Auteurs : Houck, M. H. Année de publication : August 1984 ISBN/ISSN/EAN : CI-06260 Note générale : A real-time operation model primarily useful for daily operation of reservoirs is developed. This model is based on a chance constraint formulation and assumes a particular form of the linear decision rule. It uses the conditional distribution function of actual streamsflows conditioned on the forecasted values. Those CDF's are constructed by incorporation the statistical properties of forecast errors for different time steps. The objective considered is the minimization of weighted probale deviations from storage and release targets. These weights are surrogates for the actual loss functions, and the probable deviations are functions of the reliability levels specified in the model. Langues : Anglais (eng) Mots-clés : Ruissellement  Hydrologie  Optimisation stochastique  Temps réel de fonctionnement  Fonctionnement de reservoir  Developpement de modèle  Prévision d'écoulement Index. décimale : 551.48 Hydrologie : Résumé : A real-time operation model primarily useful for daily operation of reservoirs is developed. This model is based on a chance constraint formulation and assumes a particular form of the linear decision rule. It uses the conditional distribution function of actual streamsflows conditioned on the forecasted values. Those CDF's are constructed by incorporation the statistical properties of forecast errors for different time steps. The objective considered is the minimization of weighted probale deviations from storage and release targets. These weights are surrogates for the actual loss functions, and the probable deviations are functions of the reliability levels specified in the model. Note de contenu : A real-time operation model primarily useful for daily operation of reservoirs is developed. This model is based on a chance constraint formulation and assumes a particular form of the linear decision rule. It uses the conditional distribution function of actual streamsflows conditioned on the forecasted values. Those CDF's are constructed by incorporation the statistical properties of forecast errors for different time steps. The objective considered is the minimization of weighted probale deviations from storage and release targets. These weights are surrogates for the actual loss functions, and the probable deviations are functions of the reliability levels specified in the model. Water resources research, 8. A stochastic optimization model for real -time operation of reservoirs using uncertain forecasts [texte imprimé] / Houck, M. H. . - August 1984. ISSN : CI-06260 A real-time operation model primarily useful for daily operation of reservoirs is developed. This model is based on a chance constraint formulation and assumes a particular form of the linear decision rule. It uses the conditional distribution function of actual streamsflows conditioned on the forecasted values. Those CDF's are constructed by incorporation the statistical properties of forecast errors for different time steps. The objective considered is the minimization of weighted probale deviations from storage and release targets. These weights are surrogates for the actual loss functions, and the probable deviations are functions of the reliability levels specified in the model. Langues : Anglais (eng) Mots-clés : Ruissellement  Hydrologie  Optimisation stochastique  Temps réel de fonctionnement  Fonctionnement de reservoir  Developpement de modèle  Prévision d'écoulement Index. décimale : 551.48 Hydrologie : Résumé : A real-time operation model primarily useful for daily operation of reservoirs is developed. This model is based on a chance constraint formulation and assumes a particular form of the linear decision rule. It uses the conditional distribution function of actual streamsflows conditioned on the forecasted values. Those CDF's are constructed by incorporation the statistical properties of forecast errors for different time steps. The objective considered is the minimization of weighted probale deviations from storage and release targets. These weights are surrogates for the actual loss functions, and the probable deviations are functions of the reliability levels specified in the model. Note de contenu : A real-time operation model primarily useful for daily operation of reservoirs is developed. This model is based on a chance constraint formulation and assumes a particular form of the linear decision rule. It uses the conditional distribution function of actual streamsflows conditioned on the forecasted values. Those CDF's are constructed by incorporation the statistical properties of forecast errors for different time steps. The objective considered is the minimization of weighted probale deviations from storage and release targets. These weights are surrogates for the actual loss functions, and the probable deviations are functions of the reliability levels specified in the model.

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