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Smart and green buildings have attracted much attention in recent years. Development of an effective negotiation model for facilitating the bi-directional energy trading between the utility grid and the building is important for enhancing the building intelligence. In this paper, a negotiation agent based on adaptive attitude bidding strategy (AABS) is proposed. A comprehensive set of factors for...
In this paper, a particle swarm optimization (PSO) based negotiation agent with learning capability is proposed to facilitate the bi-directional energy trading between the building and the utility grid. A comprehensive set of factors in the integrated smart building and utility grid system is taken into account in developing the negotiation model. In addition, the learning capability of the negotiation...
Smart and green buildings have attracted much attention in the recent years. Development of an effective negotiation model for facilitating the bi-directional energy exchange between the utility grid and the building is important for enhancing the building intelligence. In this paper, a negotiation agent with adaptive attitude bidding strategy is designed and analyzed. To develop such an adaptive...
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...
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