Proceedings of the 2015 International Symposium on Energy Science and Chemical Engineering

The Big data Business Model of Smart Power Based on Information Value Theory

Authors
Jianhua Yang, Dunnan Liu
Corresponding Author
Jianhua Yang
Available Online December 2015.
DOI
https://doi.org/10.2991/isesce-15.2015.3How to use a DOI?
Keywords
Big data; Information value; Smart power; Business model
Abstract
The grid now has the capacity of big data basic services, building an application system of big data electricity services is needed for data decision, data management and digital operation. First, started with information value theory, the analysis of many energy demand value information which were aggregated by the big data of distribution and utilization was made. In the meantime, the smart power service business model was proposed from different angles and directions of information value chain, and the differential energy services of enterprise users, residential users and micro-grid was summarized. Through the analysis of smart power business model, to provide support for the establishment of big data service application system, its conclusions can provide a reference for grid corporations to research multiple business opportunities and profit models in the new situation.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 International Symposium on Energy Science and Chemical Engineering
Part of series
Advances in Engineering Research
Publication Date
December 2015
ISBN
978-94-6252-140-7
ISSN
2352-5401
DOI
https://doi.org/10.2991/isesce-15.2015.3How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jianhua Yang
AU  - Dunnan Liu
PY  - 2015/12
DA  - 2015/12
TI  - The Big data Business Model of Smart Power Based on Information Value Theory
BT  - 2015 International Symposium on Energy Science and Chemical Engineering
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/isesce-15.2015.3
DO  - https://doi.org/10.2991/isesce-15.2015.3
ID  - Yang2015/12
ER  -