A Heuristic Algorithm to Compute Multimodal Criterial Function Weights for Demand Management in Residential Areas
CEITEC—Central European Institute of Technology, Brno University of Technology, Purkynova 656/123, 612 00 Brno, Czech Republic
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These authors contributed equally to this work.
Energies 2017, 10(7), 1049; https://doi.org/10.3390/en10071049
Received: 22 May 2017 / Revised: 29 June 2017 / Accepted: 12 July 2017 / Published: 20 July 2017
(This article belongs to the Section Electrical Power and Energy System)
We present the conceptual design of a collective control scheme for appliances within a smart home. Based on the relevant energy acquisition procedures, three appliance groups are defined, modeled, and completed with an energy storage as well as a generator using renewable sources. At the following stage, a mixed quadratic optimization problem is presented, with the solution consisting in a time plan to regulate the operation of the individual devices. Importantly, the paper also proposes a heuristic algorithm securing consistent functionality of the computational process even despite the varying input and user conditions given in the receding horizon.
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Keywords:
demand response; building energy manager; quadratic optimization; thermal model; smart appliances
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MDPI and ACS Style
Kaczmarczyk, V.; Bradac, Z.; Fiedler, P. A Heuristic Algorithm to Compute Multimodal Criterial Function Weights for Demand Management in Residential Areas. Energies 2017, 10, 1049.
AMA Style
Kaczmarczyk V, Bradac Z, Fiedler P. A Heuristic Algorithm to Compute Multimodal Criterial Function Weights for Demand Management in Residential Areas. Energies. 2017; 10(7):1049.
Chicago/Turabian StyleKaczmarczyk, Vaclav; Bradac, Zdenek; Fiedler, Petr. 2017. "A Heuristic Algorithm to Compute Multimodal Criterial Function Weights for Demand Management in Residential Areas" Energies 10, no. 7: 1049.
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