Artificial neural network model for predicting water inflow into a reservoir

RELEVANCE of this study lies in the use of an artificial neural network to predict the volume of water in the Coca reservoir (Coca hydroelectric power station in Ethiopia). As you know, hydropower, being renewable energy, is one of the technologies that produce electricity with the least impact on g...

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Autors principals:	A. N. Shilin, M. A. Bogale, L. A. Konovalova
Format:	Artigo
Idioma:	Inglês
Publicat:	Kazan State Power Engineering University 2024-10-01
Col·lecció:	Известия высших учебных заведений: Проблемы энергетики
Matèries:	reservoir inflow forecasting artificial neural network multilayer perceptron hydroelectric power station
Accés en línia:	https://www.energyret.ru/jour/article/view/3141
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