Multi agent based energy management control for commercial buildings

Marcelo Simoes, Saurav Bhattarai
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引用次数: 8

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.
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基于多智能体的商业建筑能源管理控制
本文讨论了在商业建筑中使用多智能体系统来控制各种系统,以实现最大的能源效率,同时保持居住者的舒适度,并允许与智能电网的可能互联。本文提出了一种近似最优控制方法,通过贝叶斯状态机的在线训练来学习给定效用函数的系统。将讨论与建筑物控制相关的不同方面和挑战,并提出一种使用多智能体系统技术的控制方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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