Title :
Multi agent based energy management control for commercial buildings
Author :
Simões, M. Godoy ; Bhattarai, Saurav
Author_Institution :
Colorado Sch. of Mines, Golden, CO, USA
Abstract :
This paper discusses the use of Multi-Agent- Systems to control various systems in a commercial building in order to achieve maximum energy efficiency while maintaining comfort for the occupants and allowing a possible interconnection with a smart-grid. An approximated optimal control is proposed in this paper, where on-line training of a Bayesian state-machine learns the system for a given utility function. Different aspects and challenges associated with the control of a building will be discussed, and a control scheme using Multi-Agent-Systems technology is proposed.
Keywords :
Bayes methods; building management systems; energy conservation; energy management systems; finite state machines; multi-agent systems; optimal control; smart power grids; Bayesian state machine; approximated optimal control; building control; commercial building; maximum energy efficiency; multiagent based energy management control; on-line training; smart grid; utility function; Buildings; Humidity; Resistance heating; agents; control systems; distributed computing; energy efficiency; multi agent systems;
Conference_Titel :
Industry Applications Society Annual Meeting (IAS), 2011 IEEE
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4244-9498-9
DOI :
10.1109/IAS.2011.6074360
