Published in Energy and AI, 2026
This paper proposes a novel spatiotemporal relation fused network for solar photovoltaic power forecasting.
Recommended citation: Z Liu, S Li, J Ding, Y Zheng, B Chen, Y He. (2026). "A novel spatiotemporal relation fused network for solar photovoltaic power forecasting." Energy and AI. 100676.
Published in Energy, 2024
This paper explores the optimal transition pathway of power systems for the Guangdong-Hongkong-Macau region in China.
Recommended citation: Y Zhao, L Tang, B Chen, Z Liu. (2024). "Optimal Transition Pathway of Power Systems for Guangdong-Hongkong-Macau Region in China." Energy. 2965.
Published in IET Conference Proceedings, 2025
This paper presents a novel spatiotemporal relation fused network for solar photovoltaic power prediction.
Recommended citation: L Tang, B Chen, Z Liu. (2025). "A novel spatiotemporal relation fused network for solar photovoltaic power prediction." IET Conference Proceedings. CP934, 107-111.
Published in 2024 4th International Conference on Energy, Power and Electrical Engineering (EPEE), 2024
This paper proposes a high-resolution photovoltaic power prediction method based on dynamic time constants residual recurrent neural network.
Recommended citation: B Chen, H Jiang, Y Sheng. (2024). "High-resolution Photovoltaic Power Prediction based on Dynamic Time Constants Residual Recurrent Neural Network." 2024 4th International Conference on Energy, Power and Electrical Engineering (EPEE).