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• W2971330529 abstract "This paper proposes a close to real-time energy management system for multi-family residential buildings. The aim of the model is to optimally manage the controllable energy sources in a rolling time window to reduce the total energy cost of the building, considering the time variable electricity prices. A mixed-integer linear programming model is developed to control the washing machines, dishwashers and the energy storage system in a smart building. The performance of the model is evaluated through simulating the operation of an energy management system during one day using the measurement data from a real building located within Chalmers University of Technology campus. The results show that the proposed model can help reduce the building’s energy cost by 9% and reduce the peak demand 18.78% using the resource flexibilities in the building, without causing discomfort for the tenants." @default.
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• W2971330529 date "2019-06-01" @default.
• W2971330529 modified "2023-09-26" @default.
• W2971330529 title "A Close-to-Real-time Energy Management System for Smart Residential Buildings" @default.
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• W2971330529 doi "https://doi.org/10.1109/ptc.2019.8810885" @default.
• W2971330529 hasPublicationYear "2019" @default.
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