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http://dx.doi.org/10.5351/KJAS.2019.32.3.405

Time series analysis of the electricity demand in a residential building in South Korea  

Park, Kyeongmi (Department of Statistics, Duksung Women's University)
Kim, Jaehee (Department of Statistics, Duksung Women's University)
Publication Information
The Korean Journal of Applied Statistics / v.32, no.3, 2019 , pp. 405-421 More about this Journal
Abstract
Predicting how much energy to use is an important issue in society. However, it is more difficult to capture the usage characteristics of residential buildings than other buildings. This paper provides time series analysis methods for electricity consumption in a residential building. Temperature is closely related to electricity demand. An error correction model, which is a method of adjusting the error with time, is applied when a cointegration relation is established between variables. Therefore, we analyze data via ECMs with consideration of the temperature effect.
Keywords
ECM; cointegration; electricity demand; residential building; temperature response function;
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