Research of Customer Electricity Consumption Demand Prediction Based on Power Market Econometric Method
Authors
Shuo Yin, Meng Yang, Hongkun Bai, Jiangbo Wang, Hujun Li, Dawei Song
Corresponding Author
Shuo Yin
Available Online August 2018.
- DOI
- 10.2991/mseee-18.2018.21How to use a DOI?
- Keywords
- energy economy; industry reporting for expanding capacity; Econometric analysis; Electricity consumption.
- Abstract
In recent years, influenced by the economic situation, regional industry reporting for expanding capacity growth trend volatility, it is not only a certain effects on the regional power consumption, but also affect the safety of power grid dispatch and operation.Based on the expansion of regional industry reporting for incremental data mining, with the aid of ARMA model, DID econometric methods, research industry expanding new divisions, operating capacity, load utilization, the relationship between the electricity demand and the traditional industry, expanding new prediction method is optimized, and selected a typical area to forecast the regional electricity consumption.
- 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/).
Cite this article
TY - CONF AU - Shuo Yin AU - Meng Yang AU - Hongkun Bai AU - Jiangbo Wang AU - Hujun Li AU - Dawei Song PY - 2018/08 DA - 2018/08 TI - Research of Customer Electricity Consumption Demand Prediction Based on Power Market Econometric Method BT - Proceedings of the 2nd International Conference on Material Science, Energy and Environmental Engineering (MSEEE 2018) PB - Atlantis Press SP - 118 EP - 122 SN - 2352-5401 UR - https://doi.org/10.2991/mseee-18.2018.21 DO - 10.2991/mseee-18.2018.21 ID - Yin2018/08 ER -