An improved spatial upscaling method for producing day‐ahead power forecasts for wind farm clusters-Reference-Cited by-同舟云学术

An improved spatial upscaling method for producing day‐ahead power forecasts for wind farm clusters

Published:2022-08-16 Issue:19 Volume:16 Page:3860-3873
ISSN:1751-8687
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET Generation Trans & Dist

Author:

Yang Mao¹,Yan Qi¹,Dai Bozhi²,Chen Xinxin³,Ma Miaomiao¹,Su Xin¹

Affiliation:

1. Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin China

2. Zhongshan Power Supply Bureau of Guangdong Power Grid Co. Ltd. of China Southern Power Grid Company Limited Zhongshan China

3. Pingdingshan Power Supply Company State Grid Henan Power Company No. 6, South Section of Xinhua Road Shareholding Pingdingshan China

Funder

Ministry of Science and Technology of the People's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/gtd2.12569

Reference29 articles.

1. A novel approach to multi-horizon wind power forecasting based on deep neural architecture

2. Investigating the Wind Power Smoothing Effect Using Set Pair Analysis

3. Day-ahead wind power forecasting based on the clustering of equivalent power curves

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