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Electric Power Components and Systems Volume 49, 2021 - Issue 3
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Research Article

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

Bekir AksoyFaculty of Technology, Department of Mechatronics Engineering, Isparta University of Applied Sciences, Isparta, TurkeyCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-8052-9411View further author information
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Pages 213-232 | Received 13 Jun 2020, Accepted 25 Apr 2021, Published online: 06 Sep 2021

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U. M. Fernandes Dimlo, R. Umanesan, Jonnadula Narasimharao, N. Senthamilarasi, P. S. Ranjit, B. Balaji, I. Thamarai & Vijay Kumar Dwivedi. (2023) Optimal Configuration Planning of Multi-Energy Systems using Optimization-based Deep Learning Technique. Electric Power Components and Systems 51:14, pages 1506-1521.
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Pulavarthi Satya Venkata Kishore, Jami Rajesh, Nakka Jayaram & Sukanta Halder. (2022) A Survey of Machine Learning Applications in Renewable Energy Sources. IETE Journal of Research 0:0, pages 1-18.
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Lipeng Ji, Chenqi Fu, Zheng Ju, Yicheng Shi, Shun Wu & Li Tao. (2022) Short-Term Canyon Wind Speed Prediction Based on CNN—GRU Transfer Learning. Atmosphere 13:5, pages 813.
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