Engineering and Technology
Weather Impact on Solar Farm Performance: A Comparative Analysis of Machine Learning Techniques
A. Gopi, P. Sharma, et al.
This study presents an innovative prediction model for forecasting the annual power generation yield and performance ratio of photovoltaic farms. Using advanced AI techniques, the results highlight ANFIS as the most precise model, providing valuable insights for policymakers and solar energy developers. The research was conducted by Ajith Gopi, Prabhakar Sharma, Kumarasamy Sudhakar, Wai Keng Ngui, Irina Kirpichnikova, and Erdem Cuce.
Playback language: English
Related Publications
Explore these studies to deepen your understanding of the subject.
