Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)

Analysis of Electricity Market Forecast

Authors
Kaixuan Chang, Shaohui Zhan, Ying Feng, Tie Guo, Jie Xu
Corresponding Author
Kaixuan Chang
Available Online March 2017.
DOI
10.2991/emcs-17.2017.102How to use a DOI?
Keywords
Electricity market; Market forecast; Analysis
Abstract

The power industry has owned the monopoly mode for a hundred years in widely using power generation, transmission, distribution, sales in one. In the past, it was generally believed that the power industry was an economy of scale. However, with the continuous development of power industry and continuous progress of society, the monopoly mode of operation in power system gradually displays the drawbacks. As the implementation of the power market reform introducing the concept of competition, from the economic point of view, power system that consists of power generation, transmission, and power supply is divided into power generation companies, power transmission companies and power supply companies, three relatively independent parts, which brings a lot of new problems. China's power system reform is also the same. This paper discusses the function and importance of market forecasting and analysis system, which is an important part of the electricity market operation system from the perspective of electricity market research.

Copyright
© 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/).

Download article (PDF)

Volume Title
Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)
Series
Advances in Computer Science Research
Publication Date
March 2017
ISBN
978-94-6252-335-7
ISSN
2352-538X
DOI
10.2991/emcs-17.2017.102How to use a DOI?
Copyright
© 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  - Kaixuan Chang
AU  - Shaohui Zhan
AU  - Ying Feng
AU  - Tie Guo
AU  - Jie Xu
PY  - 2017/03
DA  - 2017/03
TI  - Analysis of Electricity Market Forecast
BT  - Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)
PB  - Atlantis Press
SP  - 527
EP  - 531
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-17.2017.102
DO  - 10.2991/emcs-17.2017.102
ID  - Chang2017/03
ER  -