Estimation of Energy Produced in Hydroelectric Power Plant Industrial Automation Using Deep Learning and Hybrid Machine Learning Techniques-Reference-Cited by-同舟云学术

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

Published:2021-02-07 Issue:3 Volume:49 Page:213-232
ISSN:1532-5008
Container-title:Electric Power Components and Systems
language:en
Short-container-title:Electric Power Components and Systems

Author:

Aksoy Bekir¹^ORCID

Affiliation:

1. Faculty of Technology, Department of Mechatronics Engineering, Isparta University of Applied Sciences, Isparta, Turkey

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Energy Engineering and Power Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/15325008.2021.1937401

Reference68 articles.

1. E. Sezgin, “Economic implications of nuclear energy for European Union - Turkey relations,” [Master’s thesis], Edirne, Turkey: Republic of Turkey, Trakya University Institute of Social Sciences, 2018.

2. K. Yurdasever, “A research on human resources accounting in renewable energy companies,” [Master’s thesis], Ordu, Turkey: Ordu Unıversıty Instıtute of Natural and Applıed Scıences, 2019.

3. Hydropower. https://Hydropower.org. https://www.hydropower.org/sites/default/files/publications-docs/2019_hydropower_status_report.pdf. Accessed Nov. 29, 2019.

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