Investigation of Solar Energy for Urban Areas and Metropolitan Communities Using Machine Learning

Abstract

This study explores the assessment of solar panels in urban and community settings through the application of machine learning algorithms, specifically Artificial Neural Networks (ANNs) and Support Vector Machine-Long Short-Term Memory (SVM-LSTM). The objective of this evaluation is to determine the extent to which solar technology benefits these communities. Linear regression is a valuable tool for data analysis when there is a clear linear relationship between inputs and outputs. However, when dealing with non-linear datasets, more sophisticated analysis methods are required. Support Vector Machines (SVM), a machine learning technique rooted in statistical learning theory, offer an effective approach for addressing non-linear regression challenges. The study’s central focus lies in leveraging machine learning techniques to evaluate the viability of solar panels in urban and community contexts. This evaluation utilizes two distinct algorithms, ANN and SVM-LSTM, to assess the impact of solar technology on these communities. By employing advanced machine learning methodologies, the study aims to shed light on whether solar energy solutions hold the potential to significantly benefit urban and community environments. The results of this analysis may have far-reaching implications for sustainable energy adoption in urban areas, paving the way for a more environmentally responsible and energy-efficient future

Keywords:

• metropolitan regions
• energy
• solar landscapes
• machine learning

Disclosure Statement

The authors declare that they have no conflicts of interest to report regarding this study.

Authorship Contributions

All authors are contributed equally to this work.

Data Availability Statement

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

Additional information

Funding

This work was funded by the Researchers Supporting Project No. (RSP2023R363), King Saud University, Riyadh, Saudi Arabia.

Notes on contributors

Ennamuri Subbarao

ENNAMURI SUBBARAO working as a Professor, Department of Mechanical Engineering, MJR College of Engineering and Technology, Diguvapokulavari Palli, Pileru,India. presently working as a Professor, 21 years Engineering college experience + 4 years Polytechnic College experience, 5 years as HOD, 3 years examination cell experience, 1 year as a vice principal experience.

Pratik Gite

Pratik Gite towards the computer education in 2012. He has completed his B.E. and M.E. in Computer Science and Engineering from RGPV University Bhopal (M.P.). He holds a Ph.D. in in Computer Science and Engineering from Pacific Academy of Higher Education & Research University, Udaipur, Rajasthan. He started his academics at LKCT Indore (MP). Dr. Pratik Gite has published five patents, 35 research papers in various conference and journals. Dr. Pratik Gite has passion for writing computer engineering books. He is an expert of various computer technologies. He has worked with many computer programming languages and open source technologies. His areas of interest include Mobile Ad-hoc Network, Software Engineering, Computer Network, Basic Computer Engineering and Information Technology. His current affiliation includes Associate Professor at SJCEM, Palghar (M.H.). His contribution includes active participation in various research and development activities. He can be reached at [email protected].

Ashish Sharma

Ashish Sharma received a Ph.D. in Computer Science, He was working on Professor in the Department of Computer Science in GLA University, Uttar Pradesh, India. He was working on the applications of data mining, machine learning, big data, business analytics, data/text mining, healthcare informatics, and service-oriented computing.

Lasya Vyakaranam

Lasya Vyakaranam has been working as a Assistant Professor at Symbiosis Law School for 3 years. Symbiosis Law School is part of the Colleges & Universities industry, and located in India. She has published many research articles in various disciplines. She has a passion for writing books and research articles in many domains. Her current affiliations as Assistant Professor, Faculty of Law, Symbiosis Law School (SLS), Symbiosis International (Deemed University) (SIU), Vimannagar, Pune, Maharashtra - 411014, India

Tanvir Habib Sardar

Tanvir Habib Sardar is is currently working as an Assistant Professor in the Department of Computer Science and Engineering, GITAM University Bangalore Campus. He received his B.Tech in Computer Science and Engineering, West Bengal University of Technology, Kolkata, India, in 2008. He received his M.Tech degree in Computer Science and Engineering, Visvesvaraya Technological University, Karnataka, India, in 2014. He earned his Ph.D. degree in the area of Big Data and Distributed Computing in 2022 from Visvesvaraya Technological University, Karnataka, India.

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.

P. Ganeshan

P. Ganeshan is working as Professor in the Department of Mechanical Engineering in Sri Eshwar College of Engineering, Coimbatore, Tamilnadu, India since Decemember 2021. He had completed Bachelor of Engineering in Mechanical Engineering in 2006 and Post Graduate in Engineering Design in 2013 from Anna University, Chennai, Tamil Nadu India. He obtained his Doctorate in Mechanical Engineering, Anna University Chennai in 2017 and has more than 15 years of experience in research, teaching and industry. He has published 85 research article in peer reviewed Journals and participated over 10 National and international conferences. His area of research is the use of the composite materials for Bio-medical applications. Currently he is guiding 08 PhD research scolars in Anna University, Chennai. His Subjects of Interest includes Engineering Mechanics, Fluid Mechanics, Strength of Materials, Theroy of Machines and Design of Machine Elements and Transmission systems.

Ahmed Sayed M. Metwally

Ahmed Sayed M. Metwally earned his Ph.D. from Cairo University. He served as an Advisor to the Vice President of King Saud University for Business Development, Advisor to the Dean of Skills Development, and Advisor to the Dean of the College of Science. Dr. Metwally has published over 25 scientific papers in ISI Journals. He has contributed as an international reviewer for scientific journals, he translated more than five books, and authored more than five books. Additionally, Dr. Metwally has played an instrumental role in several major national research projects. Dr. Metwally is also a certified international trainer and referee. His academic interests primarily lie in the field of mathematical modeling, and STEM.

M. A. Kalam

M. A. Kalam is currently working as an academic staff (as a Professor) in the Faculty of Engineering and IT at the University of Technology Sydney (UTS), Australia. Previously he worked as an academic staff in the Department of Mechanical Engineering, Universiti Malaya from 2008 to 2021. His research specialization is in Internal-combustion engines, Biodiesel/Biofuel, Lubricant testing, and Engine Tribology. Prof Kalam obtained his undergraduate degree from Bangladesh Institute of Technology (B.I.T) Khulna, presently known as Khulna University of Engineering & Technology (KUET), and Master & Ph.D. from Universiti Malaya, Malaysia. Recently, Prof Kalam’s name appeared in the list of “Highly Cited Researchers” in the years 2017, 2018, 2019, 2020, and 2021” in recognition of ranking among the top 1% of researchers for the most cited documents in engineering by Web of Science and Clarivate Analytics.