Abstract: Energy management is one of the primary concerns in the building structures due to increasing demand of energy day by day. This paper proposes a decision making system to cover-up the giant demands of electricity. To achieve our objective, a multi-agent system is used in which different agents will handle different duties. These agents comprises of software and sensors. The intelligent systems composed of two main components: perceptron and actuators. Perceptron perceives simulations from the environment and acutators perform the action on the stimuli. The multi agent system is used for cost reduction, utilization of renewable energy resources, check on green house gases, etc. As a result, the demand forecasting through multi agents will help in managing the resources and effectively utilizing the energy sources.
Keywords: BEMS, Demand Forecasting, Multi-Agent System (MAS), Intelligent Sytems
Title: Decision Making via Demand Forecasting in the Building Structures for Energy Management through Multi-Agents
Author: Shobhna Singh, Prachi
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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