Research on Intelligent Energy Efficiency Management System Based on CBR/MAS

DOI

10.2991/cisia-15.2015.142How to use a DOI?

Keywords

energy efficiency management; case-based reasoning; multi-agent system; artificial intelligence

Abstract

Energy efficiency management system (EEMS) provides effective energy saving measures and high quality energy conservation services; it will achieve the goal of energy conservation through system integration, concordance and optimization to the existing energy, which is particularly important in today's situation. Firstly, this paper analyzes the present situation of EEMS in China and other countries, and summarizes the characteristics of the existing methods. Secondly, the combination of CBR (Case-Based Reasoning, CBR) and MAS (Multi-agent System, MAS) method is proposed to solve the existing problems in energy efficiency management. This paper introduces AI (Artificial Intelligence, AI) to the design which will provide various solutions to intelligent energy consumptions now and in the future. Finally, the user feedback link is added into system, user’s comfort becomes the vital factor in simulation. Users will back-feed their suggestions to the system, thus providing personalized services in energy saving.

Copyright

© 2015, 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)

TY  - CONF
AU  - K.Y Xu
AU  - D.W Zhou
AU  - Y.Q Chen
AU  - W.B Lu
PY  - 2015/06
DA  - 2015/06
TI  - Research on Intelligent Energy Efficiency Management System Based on CBR/MAS
BT  - Proceedings of the International Conference on Computer Information Systems and Industrial Applications
PB  - Atlantis Press
SP  - 520
EP  - 523
SN  - 2352-538X
UR  - https://doi.org/10.2991/cisia-15.2015.142
DO  - 10.2991/cisia-15.2015.142
ID  - Xu2015/06
ER  -