Electricity Consumption Forecast of Hunan Province Using Combined Model Based on Multivariate Linear Regression and BP Neural Network
- 10.2991/mcei-17.2017.138How to use a DOI?
- Multivariate linear regression; BP neural network; Combined model; Electricity consumption forecast of hunan province
In recent years, the low energy consumption level and shortage of energy resources have become key factors restricting energy development and structural adjustment of Hunan Province. Therefore, load forecasting does play a significant role in making reasonable grid plan for Hunan Province. In this paper, by collecting and analyzing data of Hunan Power Grid, we identified the factors affecting electricity consumption, then used multiple linear regression method and BP neural network to predict the electricity consumption in the next nine years. The results showed that, the growth rate of electricity consumption of Hunan Province in next nine years is lower than that of the past ten years.
- © 2017, 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/).
Cite this article
TY - CONF AU - Yan Li AU - Shuyu Dai AU - Dongxiao Niu PY - 2017/12 DA - 2017/12 TI - Electricity Consumption Forecast of Hunan Province Using Combined Model Based on Multivariate Linear Regression and BP Neural Network BT - Proceedings of the 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017) PB - Atlantis Press SP - 651 EP - 655 SN - 2352-538X UR - https://doi.org/10.2991/mcei-17.2017.138 DO - 10.2991/mcei-17.2017.138 ID - Li2017/12 ER -