Publications by authors named "Zheyi Fu"
Article Synopsis
- This paper focuses on improving the prediction of photovoltaic (PV) generation, which is essential for efficient power grid management and safety.
- The research enhances the Rhino beetle optimization algorithm using advanced strategies and optimizes a multi-model system (CNN-MHA and LSTM-MHA) for better accuracy in predictions.
- Experiments with historical data from the Alice Springs PV system demonstrated that the proposed model outperformed others across 16 metrics, achieving notable averages for accuracy indicators, such as 98.43% for R² and 2.69% for MSE.
