Fuzzy First-Order Transition-Rules-Trained Hybrid Forecasting System for Short-Term Wind Speed Forecasts

Fuzzy First-Order Transition-Rules-Trained Hybrid Forecasting System for Short-Term Wind Speed Forecasts

Due to the ever-increasing environmental pollution becoming progressively more serious, wind power has been widely used around the world in recent years. However, because of their randomness and intermittence, the accurate prediction of wind speeds is difficult. To address this problem, this article...

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Bibliographic Details
Main Authors: Yulong Bai, Lihong Tang, Manhong Fan, Xiaoyan Ma, Yang Yang
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Energies
Subjects:
wind speed forecasting
auto regressive integrated moving averaged (ARIMA)
first-order transition rules (FOTR)
fuzzy first-order transition rules (FFOTR)
hybrid system
Online Access:https://www.mdpi.com/1996-1073/13/13/3332

Internet

https://www.mdpi.com/1996-1073/13/13/3332

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