Forecast and analysis of electric heating consumption based on big data platform

This paper proposed a “coal-to-electricity” energy saving system，which collects a large amount of heating data, users′ behavior data, weather data and houses′ data of each user′s sensor in real time, and applies the BP(Back-Propagation Network) to analyze heating power consumption. The system could...

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Bibliographic Details
Published inDiànzǐ jìshù yīngyòng Vol. 44; no. 11; pp. 61 - 63
Main Authors Yang Shuo, Sun Qinfei, Zhu Jie, Chen Ping
Format Journal Article
LanguageChinese
Published National Computer System Engineering Research Institute of China 01.11.2018
Subjects
intelligent heating APP
intelligent service platform
real-time monitoring
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Summary:This paper proposed a “coal-to-electricity” energy saving system，which collects a large amount of heating data, users′ behavior data, weather data and houses′ data of each user′s sensor in real time, and applies the BP(Back-Propagation Network) to analyze heating power consumption. The system could support data management and analysis easily, and could improve the distribution network construction and users′ configurations, which has significant positive significance in the “coal-to-electricity”project.
ISSN:0258-7998
DOI:10.16157/j.issn.0258-7998.182725