A Multi-Scale Component Feature Learning Framework Based on Cnn-Bigru and Online Sequential Regularized Extreme Learning Machine for Wind Speed Prediction DOI
Xuedong Zhang, Huanyu Zhao, Zheng Wang

et al.

Published: Jan. 1, 2024

Language: Английский

Research and application of a novel graph convolutional RVFL and evolutionary equilibrium optimizer algorithm considering spatial factors in ultra-short-term solar power prediction DOI
Peng Tian,

Shihao Song,

Leiming Suo

et al.

Energy, Journal Year: 2024, Volume and Issue: 308, P. 132928 - 132928

Published: Aug. 23, 2024

Language: Английский

Citations

10
A multi-scale component feature learning framework based on CNN-BiGRU and online sequential regularized extreme learning machine for wind speed prediction DOI
Xuedong Zhang, Huanyu Zhao,

Junhao Yao

et al.

Renewable Energy, Journal Year: 2025, Volume and Issue: unknown, P. 122427 - 122427

Published: Jan. 1, 2025

Language: Английский

Citations

0
Short-term wind speed prediction method based on prior wind direction knowledge and multi-period decoupling DOI
Zewen Shang, Xuewei Li, Zhiqiang Liu

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 153, P. 110596 - 110596

Published: April 22, 2025

Language: Английский

Citations

0
Enhancement of wind speed forecasting using optimized decomposition technique, entropy-based reconstruction, and evolutionary PatchTST DOI

Changwen Ma,

Chu Zhang,

Junhao Yao

et al.

Energy Conversion and Management, Journal Year: 2025, Volume and Issue: 333, P. 119819 - 119819

Published: April 23, 2025

Language: Английский

Citations

0
A probabilistic load forecasting method for multi-energy loads based on inflection point optimization and integrated feature screening DOI
Xiaoyu Zhao, Pengfei Duan, Xiaodong Cao

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 136391 - 136391

Published: May 1, 2025

Language: Английский

Citations

0
A novel hybrid model based on multiple influencing factors and temporal convolutional network coupling ReOSELM for wind power prediction DOI

Yida Ge,

Chu Zhang,

Yiwei Wang

et al.

Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 313, P. 118632 - 118632

Published: June 4, 2024

Language: Английский

Citations

3
A Hybrid Dual Stream ProbSparse Self-Attention Network for spatial–temporal photovoltaic power forecasting DOI
Jingyin Pei, Yunxuan Dong,

Peiting Guo

et al.

Energy, Journal Year: 2024, Volume and Issue: 305, P. 132152 - 132152

Published: June 21, 2024

Language: Английский

Citations

3
Research and application of a novel weight-based evolutionary ensemble model using principal component analysis for wind power prediction DOI
Chu Zhang,

Zihan Tao,

Jinlin Xiong

et al.

Renewable Energy, Journal Year: 2024, Volume and Issue: 232, P. 121085 - 121085

Published: July 30, 2024

Language: Английский

Citations

3
Nuclear Power Systems Unsupervised Anomaly Localization Considering Spatiotemporal Information and Influence Mechanism between Devices DOI
Haotong Wang, Jianxin Shi,

Chaojing Lin

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 136204 - 136204

Published: April 1, 2025

Language: Английский

Citations

0
New Strategies for constructing and analyzing semiconductor photosynthetic biohybrid systems based on ensemble Machine learning Models: Visualizing complex mechanisms and yield prediction DOI
Ning Hou, Tong Yi, Mingwei Zhou

et al.

Bioresource Technology, Journal Year: 2024, Volume and Issue: 412, P. 131404 - 131404

Published: Aug. 31, 2024

Language: Английский

Citations

1