A Hybrid Model Based on Multi-Stage Principal Component Extraction, GRU Network and KELM for Multi-Step Short-Term Wind Speed Forecasting

A Hybrid Model Based on Multi-Stage Principal Component Extraction, GRU Network and KELM for Multi-Step Short-Term Wind Speed Forecasting

Accurate wind speed forecasting exerts a critical role in energy conversion and management of wind power. In term of this purpose, a hybrid model based on multi-stage principal component extraction, kernel extreme learning machine (KELM) and gated recurrent unit (GRU) network is developed in this pa...

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Bibliographic Details
Main Authors: Feng Zou, Wenlong Fu, Ping Fang, Dongzhen Xiong, Renming Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Multi-step short-term wind speed prediction
multi-stage principal component extraction
complete ensemble empirical mode decomposition with adaptive noise
singular spectrum analysis
phase space reconstruction
kernel extreme learning machine
Online Access:https://ieeexplore.ieee.org/document/9290071/

Internet

https://ieeexplore.ieee.org/document/9290071/

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