A Novel Hybrid Method for Short-Term Wind Speed Prediction Based on Wind Probability Distribution Function and Machine Learning Models

A Novel Hybrid Method for Short-Term Wind Speed Prediction Based on Wind Probability Distribution Function and Machine Learning Models

The need to deliver accurate predictions of renewable energy generation has long been recognized by stakeholders in the field and has propelled recent improvements in more precise wind speed prediction (WSP) methods. Models such as Weibull-probability-density-based WSP (WEB), Rayleigh-probability-de...

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Bibliographic Details
Main Authors: Rabin Dhakal, Ashish Sedai, Suhas Pol, Siva Parameswaran, Ali Nejat, Hanna Moussa
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Applied Sciences
Subjects:
forecasting
machine learning
Weibull distribution
wind speed
Online Access:https://www.mdpi.com/2076-3417/12/18/9038

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