OPTIMIZATION HOUSEHOLD ENERGY MANAGEMENT SYSTEM USING GWO ALGORITHM A REVIEW

Abstract

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.