Spatio-temporal graph neural networks for predictive learning in urban computing: A survey
With recent advances in sensing technologies, a myriad of spatio-temporal data has been
generated and recorded in smart cities. Forecasting the evolution patterns of spatio-temporal …
generated and recorded in smart cities. Forecasting the evolution patterns of spatio-temporal …
[HTML][HTML] A Comprehensive Review on the Development of Data-Driven Methods for Wind Power Prediction and AGC Performance Evaluation in Wind-Thermal …
S Wang, B Li, G Li, B Li, H Li, K Jiao, C Wang - Energy and AI, 2024 - Elsevier
The wind-thermal bundled power system achieves energy complementarity and optimized
scheduling, which is an important way to build a new type of energy system. For the safe and …
scheduling, which is an important way to build a new type of energy system. For the safe and …
A multi-area intra-day dispatch strategy for power systems under high share of renewable energy with power support capacity assessment
L Ye, Y Jin, K Wang, W Chen, F Wang, B Dai - Applied Energy, 2023 - Elsevier
Long-distance power support through High-voltage Direct Current (HVDC) has provided
feasible solutions for power dispatch and control problems in multi-area power systems …
feasible solutions for power dispatch and control problems in multi-area power systems …
[HTML][HTML] Advances in Model Predictive Control for Large-Scale Wind Power Integration in Power Systems: A Comprehensive Review
Wind power exhibits low controllability and is situated in dispersed geographical locations,
presenting complex coupling and aggregation characteristics in both temporal and spatial …
presenting complex coupling and aggregation characteristics in both temporal and spatial …
Ultra-short-term wind farm cluster power prediction based on FC-GCN and trend-aware switching mechanism
M Yang, Y Huang, Y Guo, W Zhang, B Wang - Energy, 2024 - Elsevier
Currently, wind power prediction has so many problems in the ultra-short-term time scale (0–
4h), which is difficult to improve the deterministic prediction and probability prediction …
4h), which is difficult to improve the deterministic prediction and probability prediction …
Mixformer: Mixture transformer with hierarchical context for spatio-temporal wind speed forecasting
Wind energy has attracted more and more attention due to its sustainability and pollution-
free nature. As wind energy is highly dependent on wind speed, wind speed forecasting is of …
free nature. As wind energy is highly dependent on wind speed, wind speed forecasting is of …
Ultra-short-term wind power forecasting based on personalized robust federated learning with spatial collaboration
Y Zhao, S Pan, Y Zhao, H Liao, L Ye, Y Zheng - Energy, 2024 - Elsevier
An ultra-short-term wind power forecasting method based on personalized robust federated
learning (PRFL) is proposed to exploit spatio-temporal correlation in a privacy-preserving …
learning (PRFL) is proposed to exploit spatio-temporal correlation in a privacy-preserving …
GGNet: A novel graph structure for power forecasting in renewable power plants considering temporal lead-lag correlations
N Zhu, Y Wang, K Yuan, J Yan, Y Li, K Zhang - Applied Energy, 2024 - Elsevier
Power forecast for each renewable power plant (RPP) in the renewable energy clusters is
essential. Though existing graph neural networks (GNN)-based models achieve satisfactory …
essential. Though existing graph neural networks (GNN)-based models achieve satisfactory …
Spatio-temporal graph neural network and pattern prediction based ultra-short-term power forecasting of wind farm cluster
X Liu, Y Zhang, Z Zhen, F Xu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Accurate and timely ultra-short-term wind farm cluster power forecasting is significant for real-
time dispatch and frequency regulation of power grids. Distinguishing different types of …
time dispatch and frequency regulation of power grids. Distinguishing different types of …
BERT4ST:: Fine-tuning pre-trained large language model for wind power forecasting
Accurate forecasting of wind power generation is essential for ensuring power safety,
scheduling various energy sources, and improving energy utilization. However, the elusive …
scheduling various energy sources, and improving energy utilization. However, the elusive …