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Photovoltaic-powered vehicles: Current trends and future prospects (2024)
Book Chapter
Ahmed, J. (2024). Photovoltaic-powered vehicles: Current trends and future prospects. In S. Sundaram, V. Subramaniam, R. P. Raffaelle, M. Khaja Nazeeruddin, A. Morales-Acevedo, M. Bernechea Navarro, & A. F. Hepp (Eds.), Photovoltaics Beyond Silicon: Innovative Materials, Sustainable Processing Technologies, and Novel Device Structures (647-674). Elsevier. https://doi.org/10.1016/B978-0-323-90188-8.00019-1

To reduce the use of fossil fuels and their associated environmental impact, renewable energy sources are now part of the energy landscape. Photovoltaic(s) (PV) systems and technologies are increasingly seen as a viable option to produce energy eithe... Read More about Photovoltaic-powered vehicles: Current trends and future prospects.

Analyzing meteorological parameters using Pearson correlation coefficient and implementing machine learning models for solar energy prediction in Kuching, Sarawak (2024)
Journal Article
Tan, G., Afrouzi, H. N., Ahmed, J., Hassan, A., & Sukki, F. M. (2024). Analyzing meteorological parameters using Pearson correlation coefficient and implementing machine learning models for solar energy prediction in Kuching, Sarawak. Future Sustainability, 2(2), 20-26. https://doi.org/10.55670/fpll.fusus.2.2.3

Solar energy is one of the clean renewable energy sources that can offset the rising consumption of fossil fuels. However, the meteorological parameters, such as solar irradiance, ambient and solar module temperatures, relative humidity, etc., consta... Read More about Analyzing meteorological parameters using Pearson correlation coefficient and implementing machine learning models for solar energy prediction in Kuching, Sarawak.