APRIL—Agent PRocess Interaction Language
ECAI-94 Proceedings of the workshop on agent theories, architectures, and languages on Intelligent agents
Design principles for intelligent environments
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Industrial and practical applications of DAI
Multiagent systems
Modern Control Engineering
An Agent-Based Approach to Monitoring and Control of District Heating Systems
IEA/AIE '02 Proceedings of the 15th international conference on Industrial and engineering applications of artificial intelligence and expert systems: developments in applied artificial intelligence
Saving Energy and Providing Value Added Services in Intelligent Buildings: A MAS Approach
ASA/MA 2000 Proceedings of the Second International Symposium on Agent Systems and Applications and Fourth International Symposium on Mobile Agents
Artificial decision making under uncertainty in intelligent buildings
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
A Multi-Agent System for Building Control
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Using cooperative mobile agents to monitor distributed and dynamic environments
Information Sciences: an International Journal
A semiotic multi-agent system for intelligent building control
Proceedings of the 1st international conference on Ambient media and systems
A fuzzy logic based efficient energy saving approach for domestic heating systems
Integrated Computer-Aided Engineering
Towards on embedded agent model for Android mobiles
Proceedings of the 5th Annual International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services
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We describe a decentralized system consisting of a collection of software agents that monitor and control an office building. It uses the existing power lines for communication between the agents and the electrical devices of the building, such as sensors and actuators for lights and heating. The objectives are both energy saving and increasing customer satisfaction through value added services. Results of qualitative simulations and quantitative analysis based on thermodynamical modeling of an office building and its staff using four different approaches for controlling the building indicate that significant energy savings can result from using the agent-based approach. The evaluation also shows that customer satisfaction can be increased in most situations. The approach here presented makes it possible to control the trade-off between energy saving and customer satisfaction (and actually increase both, in comparison with current approaches).