A multi-variable hybrid system for port container throughput deterministic and uncertain forecasting DOI
Jianzhou Wang, Yuanyuan Shao,

He Jiang

et al.

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 237, P. 121546 - 121546

Published: Sept. 16, 2023

Language: Английский

Multivariate wind speed forecasting based on multi-objective feature selection approach and hybrid deep learning model DOI

Sheng-Xiang Lv,

Lin Wang

Energy, Journal Year: 2022, Volume and Issue: 263, P. 126100 - 126100

Published: Nov. 14, 2022

Language: Английский

Citations

81
A novel wind power forecasting system integrating time series refining, nonlinear multi-objective optimized deep learning and linear error correction DOI Open Access
Jianzhou Wang, Yuansheng Qian,

Linyue Zhang

et al.

Energy Conversion and Management, Journal Year: 2023, Volume and Issue: 299, P. 117818 - 117818

Published: Nov. 16, 2023

Language: Английский

Citations

42
A novel ensemble system for short-term wind speed forecasting based on hybrid decomposition approach and artificial intelligence models optimized by self-attention mechanism DOI

Junheng Pang,

Sheng Dong

Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 307, P. 118343 - 118343

Published: March 28, 2024

Language: Английский

Citations

23
A hybrid model with combined feature selection based on optimized VMD and improved multi-objective coati optimization algorithm for short-term wind power prediction DOI
Chao Wang, Lin Hon, Heng Hu

et al.

Energy, Journal Year: 2024, Volume and Issue: 293, P. 130684 - 130684

Published: Feb. 15, 2024

Language: Английский

Citations

17
Wind speed prediction and reconstruction based on improved grey wolf optimization algorithm and deep learning networks DOI
Anfeng Zhu, Qiancheng Zhao, Tianlong Yang

et al.

Computers & Electrical Engineering, Journal Year: 2024, Volume and Issue: 114, P. 109074 - 109074

Published: Jan. 18, 2024

Language: Английский

Citations

15
A robust chaos-inspired artificial intelligence model for dealing with nonlinear dynamics in wind speed forecasting DOI Creative Commons

Caner Barış,

Cağfer Yanarateş, Aytaç Altan

et al.

PeerJ Computer Science, Journal Year: 2024, Volume and Issue: 10, P. e2393 - e2393

Published: Oct. 10, 2024

The global impacts of climate change have become increasingly pronounced in recent years due to the rise greenhouse gas emissions from fossil fuels. This trend threatens water resources, ecological balance, and could lead desertification drought. To address these challenges, reducing fuel consumption embracing renewable energy sources is crucial. Among these, wind stands out as a clean source garnering more attention each day. However, variable unpredictable nature speed presents challenge integrating into electricity grid. Accurate forecasting essential overcome obstacles optimize usage. study focuses on developing robust model capable handling non-linear dynamics minimize losses improve efficiency. Wind data Bandırma meteorological station Marmara region Turkey, known for its potential, was decomposed intrinsic mode functions (IMFs) using empirical decomposition (REMD). extracted IMFs were then fed long short-term memory (LSTM) architecture whose parameters estimated African vultures optimization (AVO) algorithm based tent chaotic mapping. approach aimed build highly accurate model. performance proposed improving compared with that particle swarm (CPSO) algorithm. Finally, highlights potential utilizing advanced techniques deep learning models forecasting, ultimately contributing efficient sustainable generation. hybrid represents significant step forward research practical applications.

Language: Английский

Citations

14
Ultra-short-term wind farm cluster interval power prediction based on cluster division and MQ-WaveNet-MSA DOI
Chao Wang, Lin Hon, Ming Yang

et al.

Electric Power Systems Research, Journal Year: 2025, Volume and Issue: 244, P. 111557 - 111557

Published: March 1, 2025

Language: Английский

Citations

1
The influence of international oil prices on the exchange rates of oil exporting countries: Based on the hybrid copula function DOI
Jianzhou Wang, Xinsong Niu, Lifang Zhang

et al.

Resources Policy, Journal Year: 2022, Volume and Issue: 77, P. 102734 - 102734

Published: April 28, 2022

Language: Английский

Citations

32
Ultra-short-term probabilistic wind power forecasting with spatial-temporal multi-scale features and K-FSDW based weight DOI
Jinxing Che, Fang Yuan,

Dewen Deng

et al.

Applied Energy, Journal Year: 2022, Volume and Issue: 331, P. 120479 - 120479

Published: Dec. 10, 2022

Language: Английский

Citations

28
A novel wind speed forecasting combined model using variational mode decomposition, sparse auto-encoder and optimized fuzzy cognitive mapping network DOI
Yahui Hu, Yingshi Guo, Rui Fu

et al.

Energy, Journal Year: 2023, Volume and Issue: 278, P. 127926 - 127926

Published: May 23, 2023

Language: Английский

Citations

22