Machine learning approaches for thermal updraft prediction in wind solar tower systems
Published in ELSEVIER, Renewable Energy, 2021
Recommended citation: Rushdi, M. A., Yoshida, S., Watanabe, K., & Ohya, Y. (2021). Machine learning approaches for thermal updraft prediction in wind solar tower systems. Renewable Energy, 177, 1001-1013. /files/papers/ML_WST_thermal_updraft_prediction.pdf
In this paper, we present the modeling of thermal updraft using machine learning for a wind-solar-tower developed by Kyushu University.
Recommended citation: Rushdi, M. A., Yoshida, S., Watanabe, K., & Ohya, Y. (2021). Machine learning approaches for thermal updraft prediction in wind solar tower systems. Renewable Energy, 177, 1001-1013.