Latest Research in Spatiotemporal Energy Forecasting

Top Research Topics in Spatiotemporal Energy Forecasting

• Energy Load and Power Forecasting — 26 papers
• Machine Learning — 4 papers
• Wind Energy Research and Development — 3 papers
• Optimal Power Flow Distribution — 1 papers
• Oceanographic and Atmospheric Processes — 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
• Wind and Air Flow Studies — 1 papers

Highest-Cited Papers

1. Ramp Event Directional Forecasting for Wind Power Integration: A Regime-Stratified Ensemble Framework with Direction-Focused Training
2. A Hybrid LSTM‐KAN Framework With Dynamic Residual and Adaptive Grid for Robust Wind Speed Forecasting
3. A Dual-Track Feature-Enhanced Physics-Informed Model for Accurate Wind Power Forecasting with Physical Consistency
4. Hybrid computational intelligence framework for accurate wind power forecasting and grid integration applications
5. From Symmetric Persistence to Asymmetric Gating: A Regime-Aware Network for Ultra-Short-Term Wind Power Forecasting
6. High-precision distribution network parameter identification by integrating scenario generation and probabilistic optimal power flow
7. Multi-Horizon Probabilistic Wind Power Forecasting for Mountainous Wind Farms Based on Entropy-Weighted Fusion and Permutation Entropy-Guided Decomposition
8. DiffWind: A Denoising Diffusion Probabilistic Model for Wind Speed Time History Generation
9. A Wind Data Quality Control Algorithm Utilizing Deep Learning-Based Association Test Rules
10. A Physics-Constrained Super-Resolution Framework for Wind Resource Mapping: Application to Brazil
11. Spatial‐Awared Deep Echo State Networks for High‐Resolution Spatio‐Temporal Wind Speed Nowcasting
12. Improving multi-modal wind speed prediction of short and medium term with a bi-clustered machine learning method
13. Correlation-Aware Scenario Reduction for Wind-Power and Load Uncertainties via Density Denoising and Temporally Ordered Clustering
14. Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series
15. SCADA-based feature analysis and Bayesian-optimized machine learning for short-term turbine-level wind power forecasting
16. Application research of wind power prediction method based on improved seagull algorithm
17. Physics-informed LLM-guided dynamic spatio-temporal graph deep network for short-term wind farm power forecasting
18. PI-TFN: Enhancing forecasting robustness under limited historical context via Physics-Informed Temporal Fusion
19. Distributed uncertainty-aware multi-agent-inspired learning for wind power forecasting
20. Skillful forecasting of offshore winds from satellite scatterometer constellations

Sub-Regions

• Energy Load and Power Forecasting — 22 papers
• Wind Energy Research and Development — 7 papers
• Machine Learning — 4 papers
• Data Analysis, Statistics and Probability — 4 papers
• Optimal Power Flow Distribution — 3 papers
• Energy Load and Power Forecasting — 3 papers