Enhancing short-term wind speed prediction based on an outlier-robust ensemble deep random vector functional link network with AOA-optimized VMD

Energy, Journal Year: 2024, Volume and Issue: 296, P. 131173 - 131173

Published: April 1, 2024

Language: Английский

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A Lightweight Framework for Rapid Response to Short-Term Forecasting of Wind Farms Using Dual Scale Modeling and Normalized Feature Learning

Energies, Journal Year: 2025, Volume and Issue: 18(3), P. 580 - 580

Published: Jan. 26, 2025

Accurate wind power forecasting is crucial for optimizing grid scheduling and improving utilization. However, real-world time series exhibit dynamic statistical properties, such as changing mean variance over time, which make it difficult models to apply observed patterns from the past future. Additionally, execution speed high computational resource demands of complex prediction them deploy on edge computing nodes farms. To address these issues, this paper explores potential linear constructs NFLM, a linear, lightweight, short-term model that more adapted characteristics data. The captures both long-term sequence variations through continuous interval sampling. mitigate interference features, we propose normalization feature learning block (NFLBlock) core component NFLM processing sequences. This module normalizes input data uses stacked multilayer perceptron extract cross-temporal cross-dimensional dependencies. Experiments with two real farms in Guangxi, China, showed compared other advanced methods, MSE 24-step ahead respectively reduced by 23.88% 21.03%, floating-point operations (FLOPs) parameter count only require 36.366 M 0.59 M, respectively. results show can achieve good accuracy fewer resources.

Language: Английский

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InfoCAVB-MemoryFormer: Forecasting of wind and photovoltaic power through the interaction of data reconstruction and data augmentation

Applied Energy, Journal Year: 2024, Volume and Issue: 371, P. 123745 - 123745

Published: June 20, 2024

Language: Английский

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A Centralized Power Prediction Method for Large-scale Wind Power Clusters Based on Dynamic Graph Neural Network

Energy, Journal Year: 2024, Volume and Issue: 310, P. 133210 - 133210

Published: Sept. 20, 2024

Language: Английский

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An online long-term load forecasting method: hierarchical highway network based on crisscross feature collaboration

Energy, Journal Year: 2024, Volume and Issue: 299, P. 131459 - 131459

Published: April 28, 2024

Language: Английский

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Lower limb joint angle estimation based on surface electromyography signals

Biomedical Signal Processing and Control, Journal Year: 2025, Volume and Issue: 104, P. 107563 - 107563

Published: Jan. 28, 2025

Language: Английский

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ShuffleTransformerMulti-headAttentionNet network for user load forecasting

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135537 - 135537

Published: March 1, 2025

Language: Английский

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Short-term offshore wind power multi-location multi-modal multi-step prediction model based on Informer(M3STIN)

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135616 - 135616

Published: March 1, 2025

Language: Английский

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FedWindT: Federated learning assisted transformer architecture for collaborative and secure wind power forecasting in diverse conditions

Energy, Journal Year: 2024, Volume and Issue: 309, P. 133072 - 133072

Published: Sept. 6, 2024

Language: Английский

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Fully connected multi-reservoir echo state networks for wind power prediction

Energy, Journal Year: 2024, Volume and Issue: unknown, P. 133579 - 133579

Published: Oct. 1, 2024

Language: Английский

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