Enhancing wind speed forecasting through synergy of machine learning, singular spectral analysis, and variational mode decomposition

Energy, Journal Year: 2024, Volume and Issue: 292, P. 130493 - 130493

Published: Jan. 27, 2024

Language: Английский

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An advanced framework for net electricity consumption prediction: Incorporating novel machine learning models and optimization algorithms

Energy, Journal Year: 2024, Volume and Issue: 296, P. 131259 - 131259

Published: April 9, 2024

Language: Английский

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Prediction of wind and PV power by fusing the multi-stage feature extraction and a PSO-BiLSTM model

Energy, Journal Year: 2024, Volume and Issue: 298, P. 131345 - 131345

Published: April 17, 2024

Language: Английский

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Wind power forecasting method of large-scale wind turbine clusters based on DBSCAN clustering and an enhanced hunter-prey optimization algorithm

Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 307, P. 118341 - 118341

Published: March 28, 2024

Language: Английский

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Electric vehicle charging load forecasting considering weather impact

Applied Energy, Journal Year: 2025, Volume and Issue: 383, P. 125337 - 125337

Published: Jan. 20, 2025

Language: Английский

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Multi-step electric vehicles charging loads forecasting: An autoformer variant with feature extraction, frequency enhancement, and error correction blocks

Applied Energy, Journal Year: 2024, Volume and Issue: 376, P. 124308 - 124308

Published: Aug. 27, 2024

Language: Английский

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

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

Published: Aug. 19, 2024

Language: Английский

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A wind power forecasting model based on data decomposition and cross-attention mechanism with cosine similarity

Electric Power Systems Research, Journal Year: 2024, Volume and Issue: 229, P. 110156 - 110156

Published: Jan. 22, 2024

Language: Английский

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Review of AI-Based Wind Prediction within Recent Three Years: 2021–2023

Energies, Journal Year: 2024, Volume and Issue: 17(6), P. 1270 - 1270

Published: March 7, 2024

Wind prediction has consistently been in the spotlight as a crucial element achieving efficient wind power generation and reducing operational costs. In recent years, with rapid advancement of artificial intelligence (AI) technology, its application field made significant strides. Focusing on process AI-based modeling, this paper provides comprehensive summary discussion key techniques models data preprocessing, feature extraction, relationship learning, parameter optimization. Building upon this, three major challenges are identified prediction: uncertainty data, incompleteness complexity learning. response to these challenges, targeted suggestions proposed for future research directions, aiming promote effective AI technology address issues therein.

Language: Английский

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A comparative study of principal component analysis and kernel principal component analysis for photogrammetric shape-based turbine blade damage analysis

Engineering Structures, Journal Year: 2024, Volume and Issue: 318, P. 118712 - 118712

Published: July 31, 2024

Language: Английский

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