Air Conditioning Cooling Power Prediction of Provincial Residents Based on Regional Comprehensive Temperature

With the improvement of residents' living standards, the demand for air-conditioning cooling power in summer is increasing. This paper first analyzes the correlation between the cooling power of residents and the daily maximum temperature, daily minimum temperature and daily average temperature...

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Bibliographic Details
Published in2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) pp. 2472 - 2475
Main Authors Xiang, KangLi, Chen, BoJian, Yu, Xiaohan, Du, Yi, Lin, Changyong, Huang, Xianan, TU, xiazhe, Li, Yuanfei
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2019
Subjects
Air conditioning
Air conditioning cooling power
Atmospheric modeling
comprehensive temperature
Correlation
demand forecast
Ocean temperature
Predictive models
Temperature
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Summary:With the improvement of residents' living standards, the demand for air-conditioning cooling power in summer is increasing. This paper first analyzes the correlation between the cooling power of residents and the daily maximum temperature, daily minimum temperature and daily average temperature, then decomposes the province according to the region, and builds the comprehensive temperature of the province according to the principle of certain weight selection. The prediction model of the provincial air-conditioning cooling power is constructed, and the model is predicted and verified by taking the province A as an example.
ISSN:2378-8542
DOI:10.1109/ISGT-Asia.2019.8881700