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Solving MKP applied to IoT in smart grid using meta-heuristics algorithms: A parallel processing perspective

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dc.contributor.author Albertyn, J
dc.contributor.author Cheng, L
dc.contributor.author Abu-Mahfouz, Adnan MI
dc.date.accessioned 2021-02-17T18:55:01Z
dc.date.available 2021-02-17T18:55:01Z
dc.date.issued 2020-11
dc.identifier.citation Albertyn, J., Cheng, L. & Abu-Mahfouz, A.M. 2020. Solving MKP applied to IoT in smart grid using meta-heuristics algorithms: A parallel processing perspective. http://hdl.handle.net/10204/11789 . en_ZA
dc.identifier.isbn 978-1-7281-9520-9
dc.identifier.isbn 978-1-7281-9521-6
dc.identifier.uri http://hdl.handle.net/10204/11789
dc.description.abstract Increasing electricity prices in South Africa and the imminent threat of load shedding due to the overloaded power grid has led to a need for Demand Side Management (DSM) devices like smart grids. For smart grids to perform to their peak, their energy management controller (EMC) systems need to be optimized. Current solutions for DSM and optimization of the Multiple Knapsack Problem (MKP) have been investigated in this paper to discover the current state of common DSM models. Solutions from other NP-Hard problems in the form of the iterative Discrete Flower Pollination Algorithm (iDFPA) as well as possible future scalability options in the form of optimization through parallelization have also been suggested. en_US
dc.format Fulltext en_US
dc.language.iso en en_US
dc.relation.uri DOI: 10.1109/IMITEC50163.2020.9334113 en_US
dc.relation.uri https://arxiv.org/abs/2006.15927 en_US
dc.relation.uri https://ieeexplore.ieee.org/document/9334113 en_US
dc.source 2nd International Multidisciplinary Information Technology and Engineering Conference (IMITEC), Sol Plaatje University, Kimberley, 25-27 November 2020 en_US
dc.subject Flower Pollination Algorithm en_US
dc.subject FPA en_US
dc.subject Knapsack problem en_US
dc.subject NP-Hard en_US
dc.subject Demand Side Management en_US
dc.subject DSM en_US
dc.title Solving MKP applied to IoT in smart grid using meta-heuristics algorithms: A parallel processing perspective en_US
dc.type Conference Presentation en_US
dc.description.pages 10pp en_US
dc.description.note Copyright: 2020 IEEE. This is the preprint version of the work. en_US
dc.description.cluster Next Generation Enterprises & Institutions
dc.description.impactarea EDTRC Management en_US
dc.identifier.apacitation Albertyn, J., Cheng, L., & Abu-Mahfouz, A. M. (2020). Solving MKP applied to IoT in smart grid using meta-heuristics algorithms: A parallel processing perspective. http://hdl.handle.net/10204/11789 en_ZA
dc.identifier.chicagocitation Albertyn, J, L Cheng, and Adnan MI Abu-Mahfouz. "Solving MKP applied to IoT in smart grid using meta-heuristics algorithms: A parallel processing perspective." <i>2nd International Multidisciplinary Information Technology and Engineering Conference (IMITEC), Sol Plaatje University, Kimberley, 25-27 November 2020</i> (2020): http://hdl.handle.net/10204/11789 en_ZA
dc.identifier.vancouvercitation Albertyn J, Cheng L, Abu-Mahfouz AM, Solving MKP applied to IoT in smart grid using meta-heuristics algorithms: A parallel processing perspective; 2020. http://hdl.handle.net/10204/11789 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Albertyn, J AU - Cheng, L AU - Abu-Mahfouz, Adnan MI AB - Increasing electricity prices in South Africa and the imminent threat of load shedding due to the overloaded power grid has led to a need for Demand Side Management (DSM) devices like smart grids. For smart grids to perform to their peak, their energy management controller (EMC) systems need to be optimized. Current solutions for DSM and optimization of the Multiple Knapsack Problem (MKP) have been investigated in this paper to discover the current state of common DSM models. Solutions from other NP-Hard problems in the form of the iterative Discrete Flower Pollination Algorithm (iDFPA) as well as possible future scalability options in the form of optimization through parallelization have also been suggested. DA - 2020-11 DB - ResearchSpace DP - CSIR J1 - 2nd International Multidisciplinary Information Technology and Engineering Conference (IMITEC), Sol Plaatje University, Kimberley, 25-27 November 2020 KW - Flower Pollination Algorithm KW - FPA KW - Knapsack problem KW - NP-Hard KW - Demand Side Management KW - DSM LK - https://researchspace.csir.co.za PY - 2020 SM - 978-1-7281-9520-9 SM - 978-1-7281-9521-6 T1 - Solving MKP applied to IoT in smart grid using meta-heuristics algorithms: A parallel processing perspective TI - Solving MKP applied to IoT in smart grid using meta-heuristics algorithms: A parallel processing perspective UR - http://hdl.handle.net/10204/11789 ER - en_ZA
dc.identifier.worklist 24111 en_US


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