Correction Method for Wind Speed Forecast in Wind Farms Based on Kernel Density Estimation and Multiple Model Approaches
Author:
Affiliation:
1. NORTH CHINA BRANCH OF STATE GRID CORPORATION OF CHINA, NORTH CHINA GRID COMPANY LIMITED,Beijing,China
2. School of New Energy, North China Electric Power University,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10493201/10493208/10493372.pdf?arnumber=10493372
Reference11 articles.
1. Transforming climate model output to forecasts of wind power production: how much resolution is enough?
2. Wind Power Prediction Based on LSTM Networks and Nonparametric Kernel Density Estimation
3. Estimating wind speed probability distribution using kernel density method
4. Wind speed forecast correction models using polynomial neural networks
5. A hybrid model based on data preprocessing strategy and error correction system for wind speed forecasting
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