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.