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From the perspective of system control, a smart and green building is a large-scale dynamic system with high complexity and a huge amount of information. Proper combination of the available information and effective control of the overall building system turns out to be a big challenge. In this study, we proposed a building indoor energy and comfort management model based on information fusion using...
The smart building and plug-in hybrid electric vehicle (PHEV) are two promising technologies. The integration of these two emerging technologies holds great promises in improving the power supply reliability and the flexibility of building energy and comfort management. The overall control goal of the smart building is to maximize the customer comfort with minimum power consumption. In this study,...
The smart building and plug-in hybrid electric vehicle (PHEV) are two promising emerging technologies. The integration of these two technologies shows great promise in reinforcing the reliability and flexibility in building energy management. The control challenge of the smart building is to maximize the customer comfort with minimum power consumption. Multi-agent technology with particle swarm optimization...
In this paper a fuzzy adaptive comfort temperature (FACT) model has been proposed for the intelligent control of smart buildings. A multi-agent control system is applied for the energy management and building operation. Particle Swarm Optimization (PSO) is applied to optimize the set points based on the comfort zone. Integrating a grey predictor to predict outdoor temperature with the FACT model shows...
In this paper, a new control system with an intelligent optimizer is developed which can be applied to energy and comfort management in the smart and energy-efficient buildings. Hierarchical multi-agent theory is used to build this control system, which contains agent-controllers at two levels - a central coordinator-agent at the higher level and multiple local controller-agents at the lower level...
In this paper, a multi-agent intelligent control system is applied to design a control system for smart and sustainable buildings. Smart and sustainable buildings require solving conflicts between energy consumption and indoor comfort level. Also, user preferences should be taken consideration in the control system design. Hierarchical control architecture is introduced and utilized to design such...
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