Short-Term Wind Speed Forecasting Using Statistical and Machine Learning Methods

Short-Term Wind Speed Forecasting Using Statistical and Machine Learning Methods

Wind offers an environmentally sustainable energy resource that has seen increasing global adoption in recent years. However, its intermittent, unstable and stochastic nature hampers its representation among other renewable energy sources. This work addresses the forecasting of wind speed, a primary...

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Bibliographic Details
Main Authors: Lucky O. Daniel, Caston Sigauke, Colin Chibaya, Rendani Mbuvha
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Algorithms
Subjects:
additive quantile regression averaging
forecasts combination
machine learning
point and interval forecasting
renewable energy
wind energy
Online Access:https://www.mdpi.com/1999-4893/13/6/132

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https://www.mdpi.com/1999-4893/13/6/132

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