3 papers
cs.CV2026
USF-Net: A Unified Spatiotemporal Fusion Network for Ground-Based Remote Sensing Cloud Image Sequence Extrapolation
Penghui Niu, Taotao Cai, Suqi Zhang +4
Ground-based remote sensing cloud image sequence extrapolation is a key research area in the development of photovoltaic power systems. However, existing approaches exhibit several…
cs.LG2026
MPCM-Net: Multi-scale network integrates partial attention convolution with Mamba for ground-based cloud image segmentation
Penghui Niu, Jiashuai She, Taotao Cai +4
Ground-based cloud image segmentation is a critical research domain for photovoltaic power forecasting. Current deep learning approaches primarily focus on encoder-decoder architec…
cs.LG2025
2DXformer: Dual Transformers for Wind Power Forecasting with Dual Exogenous Variables
Yajuan Zhang, Jiahai Jiang, Yule Yan +2
Accurate wind power forecasting can help formulate scientific dispatch plans, which is of great significance for maintaining the safety, stability, and efficient operation of the p…