Estimation of Energy Produced in Hydroelectric Power Plant Industrial Automation Using Deep Learning and Hybrid Machine Learning Techniques

Today, due to the rapidly increasing environmental pollution, the importance of energy obtained from renewable energy sources is increasing. One of these important renewable energy sources is Hydroelectric Power Plants. Using hybrid-machine learning algorithms, non-hybrid machine learning algorithms...

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Vydané v:	Electric power components and systems Ročník 49; číslo 3; s. 213 - 232
Hlavný autor:	Aksoy, Bekir
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Philadelphia Taylor & Francis 10.09.2021 Taylor & Francis Ltd
Predmet:	Accuracy Alternative energy sources Artificial intelligence Artificial neural networks Deep learning Energy resources Errors Flow velocity Genetic algorithms hybrid machine learning algorithms Hydroelectric plants Hydroelectric power hydroelectric power plant Machine learning Neural networks Performance evaluation Power plants regression Renewable energy sources Renewable resources
ISSN:	1532-5008, 1532-5016
On-line prístup:	Získať plný text
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