Neural Networks as Decision Making Support System for Hydroelectric Power Plant

被引：0

作者：

Grimaccia, Francesco ^{[1
]}

Mussetta, Marco ^{[1
]}

Niccolai, Alessandro ^{[1
]}

Zich, Riccardo E. ^{[1
]}

机构：

[1] Politecn Milan, Dipartimento Energia, Milan, Italy

来源：

PROCEEDINGS OF 2017 INTERNATIONAL CONFERENCE ON SMART SYSTEMS AND TECHNOLOGIES (SST) | 2017年

关键词：

Neural Networks; Run-of-the-river Hydroelectric Power Plant; Decision Support System; Renewable Energy;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

New Renewable Energy sources are changing the way the Electric Grid is conceived: new challenges are given to Distribution Network Operators (DNOs) and to Transmission Systems Operators (TSOs). These challenges regards business models adopted and reliability, efficiency and controllability of the system. In this new framework, it is important to give to Decision Makers tools able to help them in facing these new challenges. In this paper, ad hoc Neural Networks have been designed and tested in order to provide a useful tool as part of a larger Decision Making Support System (DSS) for the management of a real run-of-the-river hydroelectric power plant.

引用

页码：217 / 221

页数：5

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