Research on Intelligent Energy Efficiency Management System Based on CBR/MAS
- https://doi.org/10.2991/cisia-15.2015.142How to use a DOI?
- energy efficiency management; case-based reasoning; multi-agent system; artificial intelligence
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/cisia-15.2015.142 ID - Xu2015/06 ER -