Latest Research in Energy Load and Power Forecasting

Top Research Topics in Energy Load and Power Forecasting

• Energy Load and Power Forecasting — 21 papers
• Machine Learning — 3 papers
• Meteorological Phenomena and Simulations — 1 papers
• Optimal Power Flow Distribution — 1 papers
• Oceanographic and Atmospheric Processes — 1 papers
• Wind Energy Research and Development — 1 papers
• Forecasting Techniques and Applications — 1 papers
• Integrated Energy Systems Optimization — 1 papers
• Data Analysis, Statistics and Probability — 1 papers
• Probabilistic and Robust Engineering Design — 1 papers

Highest-Cited Papers

1. CoFFormer: A Collaborative Frequency-Domain-Enhanced Network for Sustainable Wind Power Forecasting Under Non-Stationary Conditions
2. A hybrid Fourier–PSO model for hourly wind speed forecasting over a 4-year horizon: A tropical coastal case study
3. Collaborative Probabilistic Wind Power Forecasting Using Adaptive Flow Matching Enhanced Neural Process
4. Comparative evaluation of deep learning and statistical models for wind speed downscaling
5. Ramp Event Directional Forecasting for Wind Power Integration: A Regime-Stratified Ensemble Framework with Direction-Focused Training
6. A Hybrid LSTM‐KAN Framework With Dynamic Residual and Adaptive Grid for Robust Wind Speed Forecasting
7. A Dual-Track Feature-Enhanced Physics-Informed Model for Accurate Wind Power Forecasting with Physical Consistency
8. Hybrid computational intelligence framework for accurate wind power forecasting and grid integration applications
9. From Symmetric Persistence to Asymmetric Gating: A Regime-Aware Network for Ultra-Short-Term Wind Power Forecasting
10. High-precision distribution network parameter identification by integrating scenario generation and probabilistic optimal power flow
11. Multi-Horizon Probabilistic Wind Power Forecasting for Mountainous Wind Farms Based on Entropy-Weighted Fusion and Permutation Entropy-Guided Decomposition
12. DiffWind: A Denoising Diffusion Probabilistic Model for Wind Speed Time History Generation
13. A Wind Data Quality Control Algorithm Utilizing Deep Learning-Based Association Test Rules
14. A Physics-Constrained Super-Resolution Framework for Wind Resource Mapping: Application to Brazil
15. Spatial‐Awared Deep Echo State Networks for High‐Resolution Spatio‐Temporal Wind Speed Nowcasting
16. Improving multi-modal wind speed prediction of short and medium term with a bi-clustered machine learning method
17. Correlation-Aware Scenario Reduction for Wind-Power and Load Uncertainties via Density Denoising and Temporally Ordered Clustering
18. Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series
19. SCADA-based feature analysis and Bayesian-optimized machine learning for short-term turbine-level wind power forecasting
20. Application research of wind power prediction method based on improved seagull algorithm