Open access
Aug 2026
Explainable Hybrid CNN-LSTM Model for Renewable Energy Forecasting to Enable Carbon Emission Reduction
A hybrid Convolutional Neural Network–Long Short-Term Memory (CNN–LSTM) model for forecasting multi-source renewable energy, which achieves lower prediction error and can contribute to reduced renewable curtailment and to more stable, reasonable decisions in smart cities.
Jia-Cheng Ran
· Applied and Computational En... · 0 citations