Abstract
This article mainly proposes a forecasting model based on time series. Exponential smoothing is a kind of time series analysis method. Exponential smoothing is a model that combines old and new information. Different ratios of old and new information are given to predict future phenomena. Appropriate weight parameters will more accurately predict the electricity consumption of China’s residents, which provides an important basis and reference for promoting China’s power resource conservation and promoting the development of national energy. This article briefly describes the basic theoretical knowledge about exponential smoothing method, using exponential smoothing method, select typical park user electricity consumption data for training and forecasting, to verify the superiority of exponential smoothing method for forecasting data. Finally, according to the research results of this article, it can be used as a reference for future decision-making.
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Yan, H. et al. (2022). Research on Commercial Sector Electricity Load Model Based on Exponential Smoothing Method. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2022. Lecture Notes in Computer Science, vol 13338. Springer, Cham. https://doi.org/10.1007/978-3-031-06794-5_16
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