Short-Term Solar Power Forecasting Based on Pruning-Optimized Temporal Convolutional Networks for Edge Deployment
Accurate multi-horizon solar power forecasting is vital for modern power distribution networks, yet standard deep learning models face limitations due to weather stochasticity and prohibitive computational requirements on resource-constrained edge devices. To address these issues, this paper proposes a Physics-Informed...
Ziran Guo, Wenqiang Xie, Jian Liu et al.
· Electronics · 0 citations