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

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

Accurate wind power forecasting is crucial for optimizing grid scheduling and improving wind power utilization. However, real-world wind power time series exhibit dynamic statistical properties, such as changing mean and variance over time, which make it difficult for models to apply observed patter...

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Bibliographic Details
Main Authors: Yan Chen, Miaolin Yu, Haochong Wei, Huanxing Qi, Yiming Qin, Xiaochun Hu, Rongxing Jiang
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Energies
Subjects:
wind power forecasting
deep learning
multi-layer perceptron
dynamic features
lightweight modeling
Online Access:https://www.mdpi.com/1996-1073/18/3/580
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