Short Term Load Forecasting Research Based on Electricity Big Data

DOI

10.2991/amitp-16.2016.13How to use a DOI?

Keywords

Electricity Information Acquisition System; Electricity Big Data; Short-term Load Forecasting

Abstract

With global information technology development, the era of big data is in the offing. Power industry is closely related with people's livelihood and it is necessary to introduce big data technology to improve its economy and reliability. The completion of Jiangsu Electricity Information Acquisition System and the accumulation of historical information both laid a rich foundation for the study of the electricity big data. Jiangsu Electricity Power Company has an advantage and it is necessary to take full advantage of electricity big data to carry out related researches. Based on electricity big data, research works on short-term load forecasting were carried out in this paper, which had achieved some results and made a certain contribution for the promotion of big data technology in Jiangsu Electricity Power Company.

Copyright

© 2016, 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  - Wei Hu
AU  - Qian Ma
AU  - Chao Fang
AU  - Zheng Xiong
AU  - Cong Ji
AU  - Chunlin Zhong
PY  - 2016/09
DA  - 2016/09
TI  - Short Term Load Forecasting Research Based on Electricity Big Data
BT  - Proceedings of the 2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016)
PB  - Atlantis Press
SP  - 68
EP  - 71
SN  - 2352-538X
UR  - https://doi.org/10.2991/amitp-16.2016.13
DO  - 10.2991/amitp-16.2016.13
ID  - Hu2016/09
ER  -