Modeling and Forecasting of Wind Power Output of Urban Regional Energy Internet Based on Deep Learning

Clean energy will account for a lot in the future energy structure with the emergence of Urban Regional Energy Internet. However, because of the intermittent and volatility of clean energy like wind energy, its main role in energy supply has restricted. Therefore, predicting wind power accurately is...

Full description

Saved in:
Bibliographic Details
Published inJournal of physics. Conference series Vol. 1732; no. 1; pp. 12190 - 12197
Main Authors Weng, Geping, Pei, Chuanxun, Ren, Jiaorong, Jiang, Hao, Xu, Jiayu, Zheng, Weifeng, Liu, Yuan, Gao, Tian
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.01.2021
Subjects
Clean energy
Clean technology
Economic forecasting
Energy
Energy Internet
Internet
Mathematical models
Physics
Wind power
Online AccessGet full text

Cover

More Information
Summary:Clean energy will account for a lot in the future energy structure with the emergence of Urban Regional Energy Internet. However, because of the intermittent and volatility of clean energy like wind energy, its main role in energy supply has restricted. Therefore, predicting wind power accurately is of great significance in the safe operation of the power system. In response to the above problems, this paper proposed a time series forecasting model of wind power based on BiLSTM, and analyzes the actual wind data in Urban Regional Energy Internet.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1732/1/012190