Dandelion Optimizer-Based Reinforcement Learning Techniques for MPPT of Grid- Connected Photovoltaic Systems-Reference-Cited by-同舟云学术

Dandelion Optimizer-Based Reinforcement Learning Techniques for MPPT of Grid- Connected Photovoltaic Systems

Author:

Ghazi Ghazi A.¹^ORCID,Al-Ammar Essam A.¹^ORCID,Hasanien Hany M.²^ORCID,Ko Wonsuk¹^ORCID,Park Jaesung³^ORCID,Kim Dongsu⁴,Ullah Zia⁵^ORCID

Affiliation:

1. Department of Electrical Engineering, College of Engineering, King Saud University, Riyadh, Saudi Arabia

2. Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Cairo, Egypt

3. Energy Efficiency Center, Korea Conformity Laboratories, Cheongwon-gu, Cheongju-si, Chungbuk, South Korea

4. Department of Architecture Engineering, Hanbat National University, Daejeon, South Korea

5. School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, China

Funder

Korea Institute of Energy Technology Evaluation and Planning

Ministry of Trade, Industry and Energy (MOTIE), Republic of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

Reference51 articles.

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