Artificial Deep Neural Network in Hybrid PV System for Controlling the Power Management

被引：0
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作者：
Sahoo, Satyajeet [1 ]
Amirthalakshmi, T.M. [2 ]
Ramesh, S. [3 ]
Ramkumar, G. [4 ]
Arockia Dhanraj, Joshuva [5 ]
Ranjith, A. [6 ]
Obaid, Sami Al [7 ]
Alfarraj, Saleh [8 ]
Kumar, S.S. [9 ]
机构：
[1] Department of Electronics and Communication Engineering, Vignan's Foundation for Science, Technology and Research (Deemed to Be University), Vadlamudi, Andhra Pradesh, Guntur,522213, India
[2] Department of Electronics and Communication Engineering, Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Tamil Nadu, Chennai,600062, India
[3] Department of Electronics and Communication Engineering, St. Mother Theresa College of Engineering, Tamil Nadu Vagaikulam, 628102, India
[4] Department of Electronics and Communication Engineering, Saveetha School of Engineering, SIMATS, Tamil Nadu, Chennai,602 105, India
[5] Centre for Automation and Robotics (ANRO), Department of Mechanical Engineering, Hindustan Institute of Technology and Science, Padur, Tamil Nadu, Chennai,603103, India
[6] Department of Electronics and Communication Engineering, St. Joseph University in Tanzania, Dar es Salaam, Tanzania, United Republic of
[7] Department of Botany and Microbiology, College of Science, King Saud University, P.O. Box 2455, Riyadh,11451, Saudi Arabia
[8] Zoology Department, College of Science, King Saud University, Riyadh,11451, Saudi Arabia
[9] Department of Bioenvironmental Energy, College of Natural Resources and Life Science, Pusan National University, Miryang-si,50463, Korea, Republic of
来源：
International Journal of Photoenergy | 2022年 / 2022卷
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