The Application Analysis of Data Mining-Based Energy Internet and Big Data

DOI

10.2991/cecs-18.2018.77How to use a DOI?

Keywords

energy utilization; Energy Internet; big data; electric vehicles.

Abstract

The increase of energy utilization efficiency, the improvement of energy efficiency level, and the reduction of pollutant emission are the main targets of China's energy revolution. A series of energy technologies, energy management and energy supplies, such as the production, transformation, configuration and consumption of energy in the background of Energy Internet (EI), are moving in developing more diversified, cleaner, and highly efficient direction. With parallel network of distributed energy and implementation application of various smart watches and energy storage equipment, the amount of data involved in the intelligent terminal will be exponential growth, the workload of EI on data information processing is increasingly growing. This paper focuses on the application analysis of EI and big data (BD) based on data mining methods, and takes the operation model of electric vehicles (EV’s) charging and discharging data analysis based on vehicle-cooperation as a classical case.

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  - Lina Yuan
AU  - Huajun Chen
AU  - Bo Tian
AU  - Jing Gong
PY  - 2018/07
DA  - 2018/07
TI  - The Application Analysis of Data Mining-Based Energy Internet and Big Data
BT  - Proceedings of the 2018 International Symposium on Communication Engineering & Computer Science (CECS 2018)
PB  - Atlantis Press
SP  - 454
EP  - 459
SN  - 2352-538X
UR  - https://doi.org/10.2991/cecs-18.2018.77
DO  - 10.2991/cecs-18.2018.77
ID  - Yuan2018/07
ER  -