Latest Research in Energy Load and Power Forecasting
22 research papers · 2026 median publication year
Top Research Topics in Energy Load and Power Forecasting
- Energy Load and Power Forecasting — 17 papers
- Forecasting Techniques and Applications — 1 papers
- Machine Learning — 1 papers
- Probabilistic and Robust Engineering Design — 1 papers
- Wind Energy Research and Development — 1 papers
- Artificial Intelligence — 1 papers
Highest-Cited Papers
- A Hybrid LSTM‐KAN Framework With Dynamic Residual and Adaptive Grid for Robust Wind Speed Forecasting
- Hybrid computational intelligence framework for accurate wind power forecasting and grid integration applications
- From Symmetric Persistence to Asymmetric Gating: A Regime-Aware Network for Ultra-Short-Term Wind Power Forecasting
- DiffWind: A Denoising Diffusion Probabilistic Model for Wind Speed Time History Generation
- Spatial‐Awared Deep Echo State Networks for High‐Resolution Spatio‐Temporal Wind Speed Nowcasting
- Improving multi-modal wind speed prediction of short and medium term with a bi-clustered machine learning method
- SCADA-based feature analysis and Bayesian-optimized machine learning for short-term turbine-level wind power forecasting
- Application research of wind power prediction method based on improved seagull algorithm
- PI-TFN: Enhancing forecasting robustness under limited historical context via Physics-Informed Temporal Fusion
- Cloud–edge collaborative intelligence for wind power forecasting: large–small model synergy with LightGBM and CNN–BiLSTM
- Physics-guided neural network integrating uncertainty evolution for spatiotemporal wind speed prediction
- Zhinv: Real-time hub-height wind field reconstruction using only local sparse observations
- VSTCformer for Wind Power Interval Forecasting via Adaptive Variational Mode Decomposition and Spatio-Temporal Cross-Attention
- A double-stage method for improving long-term numerical wind speed prediction via chaos-noise decoupling
- DS-MS-convformer: Ultra-short-term wind power prediction based on dual-stream multi-scale convolutional transformer and hierarchical dynamic fusion
- Ultra-Short-Term Wind Power Forecasting Using an NSGA-II-MVMD-BiLSTM Hybrid Model
- A Review of Medium–Long-Term Wind Energy Projection
- An Ultra-Short-Term Wind Farm Power Forecasting Method Incorporating Spatial Features for Sustainable Energy Integration
- Adaptive Multi-Branch Heterogeneous Fusion Network for Wind Vector Prediction
- Fourier Geometric Wind Power Forecasting with Numerical Weather Prediction