A XGBoost Model with Weather Similarity Analysis and Feature Engineering for Short-Term Wind Power Forecasting

A XGBoost Model with Weather Similarity Analysis and Feature Engineering for Short-Term Wind Power Forecasting

Large-scale wind power access may cause a series of safety and stability problems. Wind power forecasting (WPF) is beneficial to dispatch in advance. In this paper, a new extreme gradient boosting (XGBoost) model with weather similarity analysis and feature engineering is proposed for short-term win...

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Bibliographic Details
Main Authors: Huan Zheng, Yanghui Wu
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Applied Sciences
Subjects:
renewable energy
short-term wind power forecasting
XGBoost
weather similarity analysis
k-means clustering
feature engineering
Online Access:https://www.mdpi.com/2076-3417/9/15/3019

Internet

https://www.mdpi.com/2076-3417/9/15/3019

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