Developing a Deep Learning and Reliable Optimization Techniques for Solar Photovoltaic Power Prediction

Abstract

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 output current qualities are unpredictable. Consequently, to ensure a balance and complete functioning, it would be crucial to build systems that allow accurate future projections of solar PV production in the short or medium term. Research postulates a strategy for using deep learning to estimate the short-term electricity generated by solar photovoltaic facilities. This study offers a novel method for predicting photovoltaic systems output power utilizing a Hybrid Deep Neural Network framework, making significant advancements in the field of deep learning applications to transmission system prediction issues. CNN and LSTM are combined in the postulated HDNN paradigm. Traditional deep learning techniques are employed in the initial stage. The effectiveness assessments of these techniques are instead presented in greater detail after they have been trained using firefly optimization techniques. The method with the highest reliability is chosen out of all the techniques used in previous research. Deep learning and power efficiency create a combination that appears to have a successful future, predominantlyin improving sustainable management and the digitalization of the electrical sector.

Keywords:

• deep learning
• firefly optimization
• hybrid deep neural network
• power efficiency
• climatic variation

DATA AVAILABILITY STATEMENT

Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.

AUTHORS’ CONTRIBUTIONS

All authors are contributed equally to this work.

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the authors.

Additional information

Funding

This project was supported by Researchers Supporting Project number (RSP2024R315) King Saud University, Riyadh, Saudi Arabia.

Notes on contributors

Kumaraswamy Shivashankaraiah

Kumaraswamy Shivashankaraiah is currently working as an Assistant Professor in the Department of Computer Science and Engineering at University Visveswaraya College of Engineering (UVCE), Bengaluru. He has also served as a Professor at Sri Siddhartha Institute of Technology in Tumakuru, Karnataka, India. Dr. Kumaraswamy obtained his Bachelor of Engineering from Siddaganga Institute of Technology, Bangalore University, Tumakuru. He pursued his M.E. degree and Ph.D. in Computer Science and Engineering from UVCE, Bangalore University, Bangalore. With 24 years of teaching experience, he has published over 21 research papers and holds Indian, UK Australian grant patents. He published many books on Data Science, Data analytics using Python, Wireless Sensor Networks, Machine Learning and Deep Learning in Python etc. His research interests include Data mining, Data Science, Deep Learning PPDM, Web Mining, Semantic Web, and Cloud Computing. Additionally, he is a life member of ISTE.

Gadigi Shashibhushan

Gadigi Shashibhushan is working as Assistant Professor, Department of Electronics and Communication Engineering in Sir M Visvesvaraya Instistute of Technology and his teaching experience is 21 years and Published 15 journals and 3 international Conferences. I have obtained the Ph D degree from Visvesvaraya Technological University, Belagavi. I have published more than 10 national patents and 5 international patents.

Arumugam Prema Kirubakaran

Arumugam Prema Kirubakaran is currently working as Head of the Department of Information Technology & Information Systems, Faculty of Computing, Nile University of Nigeria. She has Post Doctoral Fellowship from Lincoln University, Malaysia for her work in Quantum Computing. She has 21 years of Teaching & Research Experience in Indian and International Universities. She has received many National & International awards. Acting as BOS member for various Universities. Her area of interest includes Image processing, AI & Quantum Computing. She has published more than 50 research articles and has published 9 books. She holds research patents from India and UK and also holds international copyrights for her research work. She has also been a part of various world record attempts such as India book of records, Asia book of records and Guinness Book of Records.

Chowdappa Anjanappa

Chowdappa Anjanappa is an Associate professor in the Department of Electronics and Communication Engineering The National institute of Engineering, Mysuru, Karnataka, India. His area of interest includes AI and ML and Optimization techniques applicable to VLSI and health care he has published more than 50 research articles and conferences in his credit.

Pradosh Kumar Sharma

Pradosh Kumar Sharma is working as Professor in Physics Department in Chinamya Degree College BHEL, Haridwar. He has published several research articles in reputed international journals. He is doing research work on physics.

Ishwarya Mayiladuthurai Vaidyanathan

Ishwarya Mayiladuthurai Vaidyanathan B.E., M.E., Ph.D., is working as an Associate Professor and HEAD for the Department of Artificial Intelligence and Data Science in Agni College Of Technology, Chennai. She has completed her Bachelor of Engineering in Computer Science and Engineering from R.M.K Engineering College affiliated to Anna University, Chennai, Tamil Nadu in the year 2008. She pursued Her Master of Engineering from R.M.K Engineering College affiliated to Anna University, Chennai, Tamil Nadu in the year 2010. She achieved the Doctor of Philosophy in Department of Computer Science and Engineering from Hindustan University, Chennai, Tamil Nadu in the year 2021.

Syed Noeman Taqui

Syed Noeman Taqui is an Assistant Professor in Bharathi College PG and RC in the discipline of Chemistry and International Graduate Research Assistant perceiving PhD in the Department of Chemistry, Faculty of Science, University of Malaya, Malaysia (Ranked 70 of the top Universities in the world) since 2014 under the supervision of Professor Dr. Rosiyah Yahya. He has worked as Research Assistant in the Department of Mechanical Engineering, Faculty of Engineering, University of Malaya and as Junior Research Fellow at the Department of Chemistry, Jamia Millia Islamia, Central University, New Delhi, India under Indo – Russian project, sponsored by Department of Science and Technology, Government of India during 2013–14. Mr. Syed has completed Bachelors and Master degree in distinction with Add-On Proficiency Diploma in Chemistry from University of Mysore during the period 2007–12. As a student he authored the book What is the Difference Between…..? 2011. His key achievements include: Outstanding Performance Award in BSc examination, Environmental Science, University of Mysore, 2010; Best Oral Presentation Award, National Seminar on Role of Chemistry in Human Health and Environmental Protection-2017 held in Ananthapur, India and Second Prize, Poster Presentation, ‘National Seminar on ‘Impact of Biotechnology on Human Welfare’, Mysore during 2013. Mr. Syed has studied and conducted research in varied disciplines and has twenty seven publications to his credit and presented several academic papers in international national conferences and has participated in over 15 workshops, seminars and conferences.

Sami Al Obaid

Sami Al Obaid is Researcher in the department of botany and Microbiology. He is doing research work on multidisciplinary sciences. Additionally, he takes part in committee assignments and other departmental activities as directed by the department Head. He has published more than 45 research articles in reputed international journals and serving as a reviewer of reputed journals.

Saleh Alfarraj

Saleh Alfarraj is working as Professor in Zoology Department in College of Science, King Saud University, Saudi Arabia. He has published several research articles in reputed international journals. He is doing research work on Zoology.