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Exploiting Grasshopper and Cuckoo Search Bio-Inspired Optimization Algorithms for Industrial Energy Management System: Smart Industries

1
Faculty of Electrical & Computer Engineering, University of Engineering and Technology, Peshawar 25000, Pakistan
2
Endicott College of International Studies, Woosong University, Daejeon 300-718, Korea
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Author to whom correspondence should be addressed.
Electronics 2020, 9(1), 105; https://doi.org/10.3390/electronics9010105
Received: 13 December 2019 / Revised: 30 December 2019 / Accepted: 30 December 2019 / Published: 6 January 2020
(This article belongs to the Special Issue Transforming Future Cities: Smart City)
Industries are consuming more than 27% of the total generated energy in the world, out of which 50% is used by different machines for processing, producing, and assembling various goods. Energy shortage is a major issue of this biosphere. To overcome energy scarcity, a challenging task is to have optimal use of existing energy resources. An efficient and effective mechanism is essential to optimally schedule the load units to achieve three objectives: minimization of the consumed energy cost, peak-to-average power ratio, and consumer waiting time due to scheduling of the load. To achieve the aforementioned objectives, two bio-inspired heuristic techniques—Grasshopper-Optimization Algorithm and Cuckoo Search Optimization Algorithm—are analyzed and simulated for efficient energy use in an industry. We considered a woolen mill as a case study, and applied our algorithms on its different load units according to their routine functionality. Then we scheduled these load units by proposing an efficient energy management system (EMS). We assumed automatic operating machines and day-ahead pricing schemes in our EMS. View Full-Text
Keywords: bio-inspired heuristic algorithms; cuckoo search optimization algorithm; energy management system; grasshopper optimization algorithm; smart grid bio-inspired heuristic algorithms; cuckoo search optimization algorithm; energy management system; grasshopper optimization algorithm; smart grid
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Ullah, I.; Hussain, I.; Singh, M. Exploiting Grasshopper and Cuckoo Search Bio-Inspired Optimization Algorithms for Industrial Energy Management System: Smart Industries. Electronics 2020, 9, 105.

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