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Faculty of Technical Sciences, University of Kragujevac , Kragujevac , Serbia
Faculty of Technical Sciences, University of Kragujevac , Kragujevac , Serbia
Faculty of Technical Sciences, University of Kragujevac , Kragujevac , Serbia
Faculty Electrical Engineering, University of East Sarajevo , Lukavica , Bosnia and Herzegovina
Faculty of Technical Sciences, University of Kragujevac , Kragujevac , Serbia
The paper provides an overview of the application of the Gray Wolf Optimization (GWO) algorithm in the management of electrical energy. Modern society cannot function without the use of electricity. In every household, there are various appliances that consume electricity, some of which are larger while others are smaller consumers. The main goal is the rational use of these appliances and their operation during periods of lower energy prices. People's habits in homes or residential buildings vary, leading to fluctuating electricity consumption. It is necessary to create a schedule for the use of appliance in order to reduce electricity bills. However, energy consumption is increasing, and energy sources are becoming insufficient, so it is essential to optimize consumption. There are numerous nature-inspired algorithms used for the optimization of complex problems, one of which is the GWO algorithm. It has significant applications in solving various management problems. The mathematical model of the GWO algorithm and its functioning method are described in the paper. Additionally, the paper presents an overview of the application of the GWO algorithm in scientific research to reduce electricity bills, optimize the use of heating/cooling appliances, and implement alternative energy sources (solar, thermal, wind energy, etc.). By implementing smart technologies, nature-inspired algorithms, and renewable energy sources, we can effectively manage our energy consumption while maintaining a comfortable and sustainable living environment.
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