Improving Implicit Stochastic Reservoir Optimization Models with Long-Term Mean Inflow Forecast

Alcigeimes B. Celeste; Max Billib

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Improving Implicit Stochastic Reservoir Optimization Models with Long-Term Mean Inflow Forecast

机译：用长期平均流量预测改进隐式随机储层优化模型

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This technical note introduces a reservoir operation model based on implicit stochastic optimization (ISO) in which the release policy is guided by the forecast of the mean inflow for a given future horizon rather than by the prediction of the current-month inflow, such as in typical ISO models. The model also does not require the forecast of all inflows for the future horizon and shows to be more efficient in finding less vulnerable release policies when compared to several other explicit and implicit stochastic procedures.

机译：本技术说明介绍了一种基于隐式随机优化（ISO）的油藏运行模型，其中的释放策略以给定未来范围内的平均流入量的预测为指导，而不是以当前月的流入量（例如典型的ISO模型。该模型也不需要对未来的所有流入量进行预测，并且与其他几种显式和隐式随机程序相比，该模型在发现较不脆弱的释放策略方面更为有效。

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来源
《Water Resources Management》 |2012年第9期|p.2443-2451|共9页
作者
Alcigeimes B. Celeste; Max Billib;
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作者单位

Department of Civil Engineering, Federal University of Sergipe, Cidade Universitaria Prof. Jose Aloisio de Campos, Av. Mai. Rondon, S/N, Jardim Rosa Elze,49.100-000 Sao Cristovao, Sergipe, Brazil;

Institute of Water Resources Management,Hydrology and Agricultural Hydraulic Engineering,Leibniz University of Hanover, Appelstr. 9A, 30167 Hanover, Germany;

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原文格式 PDF
正文语种 eng
中图分类
关键词
reservoir operation; stochastic optimization; long-term inflow forecast;

机译：水库作业;随机优化;长期流入量预测;

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1. Performance evaluation of implicit stochastic reservoir operation optimization supported by long-term mean inflow forecast [J] . de Santana Moreira Rafael Motta, Celeste Alcigeimes B. Stochastic environmental research and risk assessment . 2017,第9期

机译：长期平均流量预测支持的隐式随机水库调度优化性能评价
2. Improving real-time inflow forecasting into hydropower reservoirs through a complementary modelling framework [J] . Gragne A. S., Sharma A., Mehrotra R., Hydrology and Earth System Sciences . 2015,第8期

机译：通过补充建模框架改善对水电水库的实时流量预测
3. Improving real-time inflow forecasting into hydropower reservoirs through a complementary modelling framework [J] . A. S.Gragne, A.Sharma, R.Mehrotra, Hydrology and Earth System Sciences . 2015,第8期

机译：通过补充的建模框架改善对水电水库的实时流量预测
4. RNN-based inflow forecasting applied to reservoir operation via implicit stochastic optimization [C] . CAMILO ALLYSON SIMOES DE FARIAS, AKIHIRO KADOTA, ALCIGEIMES B. CELESTE, International Union of Geodesy and Geophysics . 2007

机译：基于RNN的流入预测通过隐式随机优化应用于储层运行
5. Implicit stochastic optimization with limited foresight for reservoir systems. [D] . Draper, Andrew James. 2001

机译：隐式随机优化，对储层系统的预见性有限。
6. Hybrid Support Vector Regression and Autoregressive Integrated Moving Average Models Improved by Particle Swarm Optimization for Property Crime Rates Forecasting with Economic Indicators [O] . Razana Alwee, Siti Mariyam Hj Shamsuddin, Roselina Sallehuddin 2013

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7. Improving real-time inflow forecasting into hydropower reservoirs through a complementary modelling framework [O] . A. S. Gragne, A. Sharma, R. Mehrotra, 2015

机译：通过补充建模框架改进水电站水库的实时流入预测
8. Status of Optimization Models for the Operation of Multireservoir Systems with Stochastic Inflows and Nonseparable Benefits [R] . Rosenthal, R. E. 1980

机译：具有随机流入和不可分离收益的多储层系统运行优化模型的现状

Improving Implicit Stochastic Reservoir Optimization Models with Long-Term Mean Inflow Forecast

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