A Long-Term Wind Speed Ensemble Forecasting System with Weather Adapted Correction
Wind forecasting is critical in the wind power industry, yet forecasting errors often exist. In order to effectively correct the forecasting error, this study develops a weather adapted bias correction scheme on the basis of an average bias-correction method, which considers the deviation of estimat...
Main Authors: | Yiqi Chu, Chengcai Li, Yefang Wang, Jing Li, Jian Li |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-10-01
|
Series: | Energies |
Subjects: | |
Online Access: | http://www.mdpi.com/1996-1073/9/11/894 |
Similar Items
-
Optimising the use of ensemble information in numerical weather forecasts of wind power generation
by: J Stanger, et al.
Published: (2019-01-01) -
The Impact of Imperfect Weather Forecasts on Wind Power Forecasting Performance: Evidence from Two Wind Farms in Greece
by: Evangelos Spiliotis, et al.
Published: (2020-04-01) -
Two-Stage Decomposition Multi-Scale Nonlinear Ensemble Model with Error-Correction-Coupled Gaussian Process for Wind Speed Forecast
by: Jujie Wang, et al.
Published: (2023-02-01) -
Wind and Gust Forecasts Assessment of Weather Research and Forecast (WRF) Model in Córdoba, Argentina
by: Matías Suárez, et al.
Published: (2023-11-01) -
Numerical Forecast Correction of Temperature and Wind Using a Single-Station Single-Time Spatial LightGBM Method
by: Rongnian Tang, et al.
Published: (2021-12-01)