Latest Research in Energy Load and Power Forecasting

Top Research Topics in Energy Load and Power Forecasting

• Energy Load and Power Forecasting — 22 papers
• Machine Learning — 5 papers
• Wind Energy Research and Development — 3 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
• Wind and Air Flow Studies — 1 papers
• Machine Fault Diagnosis Techniques — 1 papers
• Artificial Intelligence — 1 papers

Highest-Cited Papers

1. Correlation-Aware Scenario Reduction for Wind-Power and Load Uncertainties via Density Denoising and Temporally Ordered Clustering
2. Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series
3. SCADA-based feature analysis and Bayesian-optimized machine learning for short-term turbine-level wind power forecasting
4. Application research of wind power prediction method based on improved seagull algorithm
5. Physics-informed LLM-guided dynamic spatio-temporal graph deep network for short-term wind farm power forecasting
6. PI-TFN: Enhancing forecasting robustness under limited historical context via Physics-Informed Temporal Fusion
7. Distributed uncertainty-aware multi-agent-inspired learning for wind power forecasting
8. Skillful forecasting of offshore winds from satellite scatterometer constellations
9. Cloud–edge collaborative intelligence for wind power forecasting: large–small model synergy with LightGBM and CNN–BiLSTM
10. Physics-guided neural network integrating uncertainty evolution for spatiotemporal wind speed prediction
11. Evaluation of Power System Adaptability Considering Planned Future Wind Farms and Photovoltaic Stations
12. Rician Distribution as a Physically Interpretable Model for Wind-Speed Statistics
13. Zhinv: Real-time hub-height wind field reconstruction using only local sparse observations
14. VSTCformer for Wind Power Interval Forecasting via Adaptive Variational Mode Decomposition and Spatio-Temporal Cross-Attention
15. A double-stage method for improving long-term numerical wind speed prediction via chaos-noise decoupling
16. Data-driven modeling of synthetic wind speed signals with adaptive temporal resolution
17. Multi-order nonstationarity-driven cointegration method for wind turbine generator condition monitoring and anomaly detection
18. Diffusion Model with Multi-Source Data for Day-Ahead Renewable Energy Scenario Generation
19. DS-MS-convformer: Ultra-short-term wind power prediction based on dual-stream multi-scale convolutional transformer and hierarchical dynamic fusion
20. Ultra-Short-Term Wind Power Forecasting Using an NSGA-II-MVMD-BiLSTM Hybrid Model