Developing a Deep Learning and Reliable Optimization Techniques for Solar Photovoltaic Power Prediction,Electric Power Components and Systems

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Developing a Deep Learning and Reliable Optimization Techniques for Solar Photovoltaic Power Prediction
Electric Power Components and Systems ( IF 1.5 ) Pub Date : 2024-02-29 , DOI: 10.1080/15325008.2024.2317369
Kumaraswamy Shivashankaraiah ₁ , Gadigi Shashibhushan ₂ , Arumugam Prema Kirubakaran ₃ , Chowdappa Anjanappa ₄ , Pradosh Kumar Sharma ₅ , Ishwarya Mayiladuthurai Vaidyanathan ₆ , Syed Noeman Taqui ₇ , Sami Al Obaid ₈ , Saleh Alfarraj ₉

Affiliation

Department of Computer Science and Engineering, UVCE (University Visvesvaraya College of Engineering), Bangalore, Karnataka, India
Department of Electronics and Communication Engineering, Sir M Visvesvaraya Institute of Technology, Bengaluru, Karnataka, India
Department of Information Technology and Information Systems, Nile University of Nigeria, Abuja, FCT, Nigeria, India
Department of Electronics and Communication Engineering, The National Institute of Engineering, Mysore, Karnataka, India
Department of Physics, Chinmaya Degree College BHEL Haridwar, Uttrakhand, India
Artificial Intelligence and Data Science Department, Agni College of Technology, Chennai, Tamil Nadu, India
Department of VLSI Microelectronics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India
Department of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia
Zoology Department, College of Science, King Saud University, Riyadh, Saudi Arabia

Due to its significant solar energy generation, solar PV power facilities have recently been utilized. Although PV power stations are highly preferable, the state’s fundamental drawback is that its...

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