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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Veröffentlicht in:	Electric power components and systems Jg. 49; H. 3; S. 213 - 232
1. Verfasser:	Aksoy, Bekir
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Philadelphia Taylor & Francis 10.09.2021 Taylor & Francis Ltd
Schlagworte:	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
Online-Zugang:	Volltext
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