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              <text>Demand response for residential loads using artificial bee colony algorithm to minimize energy cost</text>
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              <text>Artificial Bee Colony Algorithm; Demand Response; Residential Load</text>
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              <text>Power performance expectations are increasing, impacting designs and requiring advanced technology to improve system reliability. Demand Response (DR) is a highly flexible customer driven program in which customer voluntarily changes his energy usage patterns during the peak demand to maintain the system stability and reliability and thereby improves the performance of the gird. This paper proposes a novel algorithm for optimization of the DR schedule of the residential loads for various hours of the day using Artificial Bee Colony (ABC) algorithm. Here, the objective function is subjected to the constraints like cost constraints, time constraints and load demand. The results show that the proposed approach enhances potential in solving problems with good reliability compared with existing approaches.  2015 IEEE.</text>
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              <text>Margaret V.; Uma Rao K.</text>
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              <text>IEEE Region 10 Annual International Conference, Proceedings/TENCON, Vol-2016-January</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>2016-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1109/TENCON.2015.7372868" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/TENCON.2015.7372868&lt;/a&gt;
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              <text>Restricted Access</text>
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              <text>ISSN: 21593442; ISBN: 978-147998641-5; CODEN: 85QXA</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Margaret V., Department of Electrical and Electronics Engineering, Christ University Faculty of Engineering, Christ University, Bengaluru, India; Uma Rao K., Department of Electrical and Electronics Engineering, RV College of Engineering, VTU, Bengaluru, India</text>
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