A Novel Hybrid Machine Learning Model for Wind Speed Probabilistic Forecasting

A Novel Hybrid Machine Learning Model for Wind Speed Probabilistic Forecasting

Accurately capturing wind speed fluctuations and quantifying the uncertainties has important implications for energy planning and management. This paper proposes a novel hybrid machine learning model to solve the problem of probabilistic prediction of wind speed. The model couples the light gradient...

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Bibliographic Details
Main Authors: Guanjun Liu, Chao Wang, Hui Qin, Jialong Fu, Qin Shen
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Energies
Subjects:
machine learning
hybrid model
wind speed
probabilistic forecasting
uncertainty quantification
Online Access:https://www.mdpi.com/1996-1073/15/19/6942

Internet

https://www.mdpi.com/1996-1073/15/19/6942

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