Ultra-short Term Wind Power Forecast for Offshore Energy System Based on EEMD-TCN-Reference-Cited by-同舟云学术

Ultra-short Term Wind Power Forecast for Offshore Energy System Based on EEMD-TCN

Published:2023-04 Issue: Volume: Page:
ISSN:
Container-title:2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)
language:
Short-container-title:

Author:

Zhao Lianshan¹,Su Ruoning¹,Shen Gang²,Qi Weiyu²,Jiao Xiaoqing³,Wang Jun⁴

Affiliation:

1. Guoneng Power Technology Engineering Co., Ltd.,Electric Power Research,Jinan,China

2. Beijing Baoguang Smartchina Energy Technology Co., Ltd.,Electric Power Research,Beijing,China

3. Landsky Technology Group Co., Ltd.,Electric Power Research,Beijing,China

4. Nanjing University of Information Science & Technology,Nanjing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10135545/10135141/10135146.pdf?arnumber=10135146

Reference12 articles.

1. Short-term wind power forecast based on MOSTAR model [J];hao;Power system protection and control,2019

2. A Nonlinear Combined Model for Wind Power Forecasting Based on Multi-attribute Decision-making and Support Vector Machine [J];huan;Automation of Electric Power Systems,2013

3. ARMA based approaches for forecasting the tuple of wind speed and direction

4. A new high-dimensional time series approach for wind speed, wind direction and air pressure forecasting

5. Key technologies and application schemes of flexible DC transmission systems for offshore oil and gas fields[J];qiang;China Offshore Oil and Gas,2016

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