Xin-Qi Liu

Accurate Multi-Site Photovoltaic Power Forecasting Using Dynamic Graph Convolution and Bidirectional Multi-Scale Attention

Experimental results on various publicly available PV power datasets show that BiMS-DGCN consistently outperforms several state-of-the-art forecasting methods, thereby improving the accuracy of multi-site photovoltaic power forecasting.