ENHANCING PHOTOVOLTAIC POWER PREDICTION FOR SUSTAINABLE ENERGY FUTURES
Keywords:
Ambient, climate, development, softwareSynopsis
In an era where transitioning to sustainable energy sources is becoming increasingly important, Enhancing Photovoltaic Power Prediction for Sustainable Energy Futures explores the vital developments required to maximize solar power output. This book meticulously analyzes the methodologies and state of-the-art technology that improve solar power prediction accuracy and dependability. It comprises the difficulties in incorporating solar energy into conventional power systems and emphasizes the significance of predictive analytics in attaining energy sustainability by crossing the gap between theoretical models and real-world implementations. With an eye on the future, this research effort is an indispensable resource for scholars, professionals, and decision-makers who are dedicated to advocating renewable energy sources and creating a more environmentally friendly future for future generations.
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References
Arulkumar, D.C. (2023). Sustainable Energy Development: Transitioning Towards a Cleaner Future. International Journal
for Research in Applied Science and Engineering Technology. 11(5), 6265–6274.
Guo, Q., Abbas, S., AbdulKareem, H. K., Shuaibu, M. S., Khudoykulov, K., & Saha, T. (2023). Devising strategies for sustainable development in sub-Saharan Africa: the roles of renewable, non-renewable energy, and natural resources. Energy, 284, 128713.
Kumar, M. (2020). Social, economic, and environmental impacts of renewable energy resources. Wind solar hybrid renewable energy system, 1.
Mahadzir, C. A., Mohamad Nor, A. F., & Jumaat, S. A. (2023). Photovoltaic Power Output Prediction using Graphical User Interface and Artificial Neural Network. Majlesi Journal of Electrical Engineering, 17(4), 73-78.
Sekhar, V. R., & Pradeep, P. (2021). A review paper on advancements in solar PV technology, environmental impact of PV cell manufacturing. International Journal of Advanced Research in Science, Communication and Technology, 485–492.
Sun, V., Asanakham, A., Deethayat, T., & Kiatsiriroat, T. (2020). A new method for evaluating nominal operating cell temperature (NOCT) of unglazed photovoltaic thermal module. Energy reports, 6, 1029-1042.
Published
1 October 2024
Categories
Copyright (c) 2024 Penerbit UTHM
Details about the available publication format: PDF
PDF
ISBN-13 (15)
978-629-490-105-6
Physical Dimensions
How to Cite
Cempaka Amalin Mahadzir, Ahmad Fateh Mohamad Nor, & Siti Amely Jumaat. (2024). ENHANCING PHOTOVOLTAIC POWER PREDICTION FOR SUSTAINABLE ENERGY FUTURES. Penerbit UTHM. https://publisher.uthm.edu.my/omp/index.php/penerbituthm/catalog/book/425
