Most of the electrical energy consumption occurs in residential buildings in maintaining the desired comfort level for occupants. Since comfort level and energy consumption are conflicting in nature, there is a need for energy-efficient building management and information system. In this article, Artificial Intelligence (AI) based building management and information system with multi-agent topology for the energy-efficient building is proposed. The multi-agent topology building management and information system are based on minimizing the energy consumption and maximizing the level of comfort by reducing the error between the actual parameters of the environment and the desired environmental parameters. Firstly, the constrained nonlinear optimization algorithm is applied in the first optimization, and secondly the optimization using artificial intelligence incorporating deep learning concept training and validation to obtain a set of optimized solutions. These solutions comprise values of temperature, illumination level, and concentration of CO₂ for maximum comfort level in terms of thermal, visual and air quality and minimum energy consumption at the same time. The developed system is energy efficient and maintains a high comfort level for occupants.

大部分电能消耗发生在住宅建筑中，以维持居住者所需的舒适度。由于舒适度和能源消耗在本质上是相互矛盾的，因此需要节能的建筑管理和信息系统。在本文中，提出了基于人工智能 (AI) 的建筑管理和信息系统，该系统具有用于节能建筑的多代理拓扑结构。多代理拓扑建筑管理和信息系统是基于通过减少环境的实际参数与期望环境参数之间的误差来最小化能量消耗和最大化舒适度。首先，在第一次优化中应用约束非线性优化算法，其次，使用人工智能进行优化，结合深度学习概念训练和验证，以获得一组优化的解决方案。这些解决方案包括温度值、光照水平和 CO 浓度₂在热、视觉和空气质量方面达到最大的舒适度，同时将能耗降至最低。开发的系统是节能的，并为居住者保持高舒适度。