Electric Power Demand Forecasting of Jilin Province Based on Secondary Exponential Smoothing Model

DOI

10.2991/msmi-18.2018.13How to use a DOI?

Keywords

Electric power system, Demand forecast, Secondary exponential smoothing method.

Abstract

Under the background of rapid economic growth, the issue of electric power development has drawn increasing attention. Based on the economic development, energy structure, environment and other factors, this paper analyzes the influence factors of electric power demand. Then this paper develops a prediction model of electric power demand based on the secondary exponential smoothing model. At last, this model is used to predict the electric power demand of Jilin Province. This model is proven to be sufficient accurate with the posterior difference test.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiao-Dan GUO
AU  - Peng LI
PY  - 2018/04
DA  - 2018/04
TI  - Electric Power Demand Forecasting of Jilin Province Based on Secondary Exponential Smoothing Model
BT  - Proceedings of the 2018 5th International Conference on Management Science and Management Innovation (MSMI 2018)
PB  - Atlantis Press
SP  - 69
EP  - 74
SN  - 2352-5428
UR  - https://doi.org/10.2991/msmi-18.2018.13
DO  - 10.2991/msmi-18.2018.13
ID  - GUO2018/04
ER  -