A Hybrid Wind Speed Forecasting System Based on a ‘Decomposition and Ensemble’ Strategy and Fuzzy Time Series
Accurate and stable wind speed forecasting is of critical importance in the wind power industry and has measurable influence on power-system management and the stability of market economics. However, most traditional wind speed forecasting models require a large amount of historical data and face re...
Main Authors: | Hufang Yang, Zaiping Jiang, Haiyan Lu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-09-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/10/9/1422 |
Similar Items
-
Soft Computing Methods with Phase Space Reconstruction for Wind Speed Forecasting—A Performance Comparison
by: Juan. J. Flores, et al.
Published: (2019-09-01) -
“Dust in the Wind...”, Deep Learning Application to Wind Energy Time Series Forecasting
by: Jaume Manero, et al.
Published: (2019-06-01) -
Research on Daily Extreme Wind Speed Correction Forecast Based on Tabnet
by: LIANG Li, et al.
Published: (2024-10-01) -
A Novel Decomposition-Optimization Model for Short-Term Wind Speed Forecasting
by: Jianzhong Zhou, et al.
Published: (2018-07-01) -
Application of Rough and Fuzzy Set Theory for Prediction of Stochastic Wind Speed Data Using Long Short-Term Memory
by: Moslem Imani, et al.
Published: (2021-07-01)