Probabilistic Forecasting of Multiple Plant Day-ahead Renewable Power Generation Sequences with Data Privacy Preserving DOI Creative Commons
Hong Liu, Zijun Zhang

Energy and AI, Journal Year: 2024, Volume and Issue: unknown, P. 100463 - 100463

Published: Dec. 1, 2024

Language: Английский

Federated learning-empowered smart manufacturing and product lifecycle management: A review DOI
Jiewu Leng, Richard Li,

Junxing Xie

et al.

Advanced Engineering Informatics, Journal Year: 2025, Volume and Issue: 65, P. 103179 - 103179

Published: Feb. 10, 2025

Language: Английский

Citations

1
Interpretable multi-graph convolution network integrating spatial-temporal attention and dynamic combination for wind power forecasting DOI
Yongning Zhao, Haohan Liao, Shiji Pan

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 255, P. 124766 - 124766

Published: Dec. 1, 2024

Language: Английский

Citations

7
A reconstruction-based secondary decomposition-ensemble framework for wind power forecasting DOI

Runkun Cheng,

Di Yang,

Da Liu

et al.

Energy, Journal Year: 2024, Volume and Issue: 308, P. 132895 - 132895

Published: Aug. 19, 2024

Language: Английский

Citations

7
A contemporary survey of recent advances in federated learning: Taxonomies, applications, and challenges DOI
Mohammed H. Alsharif, Raju Kannadasan, Wei Wei

et al.

Internet of Things, Journal Year: 2024, Volume and Issue: 27, P. 101251 - 101251

Published: June 15, 2024

Language: Английский

Citations

5
Road network traffic flow prediction: A personalized federated learning method based on client reputation DOI
Guowen Dai, Jinjun Tang, Jie Zeng

et al.

Computers & Electrical Engineering, Journal Year: 2024, Volume and Issue: 120, P. 109678 - 109678

Published: Sept. 19, 2024

Language: Английский

Citations

4
Ultra-short-term Wind power prediction algorithm based on bidirectional neural controlled differential equations DOI

Chu Li,

Bingjia Xiao, Qiping Yuan

et al.

Electric Power Systems Research, Journal Year: 2025, Volume and Issue: 243, P. 111479 - 111479

Published: Feb. 12, 2025

Language: Английский

Citations

0
Privacy preserving ultra-short-term prediction in clustered wind farms with encrypted data sharing: A secure multi-party computation approach DOI
Hang Fan, Xiaoyu Fan, Wei Wei

et al.

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 127218 - 127218

Published: March 1, 2025

Language: Английский

Citations

0
A comparative analysis of federated learning strategies for short-term photovoltaic power forecasting DOI
Vasilis Michalakopoulos,

Leonidas Spyropoulos,

Loukas Ilias

et al.

Energy Reports, Journal Year: 2025, Volume and Issue: 13, P. 4223 - 4235

Published: April 8, 2025

Language: Английский

Citations

0
Hybrid model with temporal convolutional network and transformer encoder for privacy-preserving wind power forecasting DOI
Zhen Zhang, Fu‐Zhen Xuan,

X. D. Ruan

et al.

Advances in Manufacturing, Journal Year: 2025, Volume and Issue: unknown

Published: April 21, 2025

Language: Английский

Citations

0
Data-augmented trend-fluctuation representations by interpretable contrastive learning for wind power forecasting DOI
Yongning Zhao, Haohan Liao, Yuan Zhao

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 380, P. 125052 - 125052

Published: Dec. 12, 2024

Language: Английский

Citations

2