About this document
Global Solar Radiation Prediction Over North Dakota Using Air by Muhammad Awais is a document available to read on EtoBox.
The study presents a novel hybrid intelligence model, ANFIS-muSG, which combines Adaptive Neuro-Fuzzy Inference System (ANFIS) with Salp Swarm Algorithm (SSA) and Grasshopper Optimization Algorithm (GOA) for predicting global solar radiation in North Dakota. The model demonstrated a performance accuracy improvement of 25.7%–54.8% over existing models using consistent air temperature data from 2010 to 2018. This research highlights the potential of hybridizing ANFIS with metaheuristic algorithms to enhance s
- Author
- Muhammad Awais
- Language
- EN