Short-Term Prediction of Wind Farm Cluster Power Based on Load Risk Scenarios and Improved Weighted Loss During Peak and Valley Load Periods-Reference-Cited by-同舟云学术

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Short-Term Prediction of Wind Farm Cluster Power Based on Load Risk Scenarios and Improved Weighted Loss During Peak and Valley Load Periods

Published:2023-12-15 Issue: Volume:43 Page:3317-3323
ISSN:
Container-title:2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2)
language:
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Author:

Yang Mao¹,Guo Yunfeng¹,Wang Bo²,Wang Zhao²

Affiliation:

1. Ministry of Education (Northeast Electric Power University),Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology,Jilin,China,132012

2. China Electric Power Research Institute,National Key Laboratory of Renewable Energy Grid-Integration,Beijing,China,100192

Funder

National Key R&D Program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10511272/10512350/10512841.pdf?arnumber=10512841

Reference12 articles.

1. Power cuts hit homes in north-east china;McDonell

2. Frequency and duration of low-wind-power events in Germany

3. Wind power ultra-short-term prediction method based on NWP wind speed correction and double clustering division of transitional weather process

4. Wind power mult1-interval composite short-time prediction method based on trend clustering and decision tree;Hongtao;ACTA ENERGIAE SOLARIS SINICA,2022

5. Wind turbine power output very short-term forecast: A comparative study of data clustering techniques in a PSO-ANFIS model

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