Wind Speed Multi-Mode Ensemble Forecasting for Wind Farms Based on Machine Learning

Wind Speed Multi-Mode Ensemble Forecasting for Wind Farms Based on Machine Learning

[Introduction] With the extensive construction of wind farms, the combination of researches on different machine learning algorithms and meteorological forecasting modes has received widespread attention. [Method] This paper was based on the spatial distribution characteristics of wind energy resour...

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Bibliographic Details
Main Authors: Sheng GAO, Peihua XU, Zhenghong CHEN
Format: Article
Language:English
Published: Energy Observer Magazine Co., Ltd. 2024-01-01
Series:南方能源建设
Subjects:
wind power day-ahead forecasting
machine learning algorithms
random forest
lightgbm
adaboost
gru
lstm
ensemble forecasting.
Online Access:https://www.energychina.press/en/article/doi/10.16516/j.ceec.2024.1.09

Internet

https://www.energychina.press/en/article/doi/10.16516/j.ceec.2024.1.09

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