AI-Driven of predicting Electricity Consumption Patterns in Electricity companies in Oman

Abstract

With technological progress and the necessity of life for sustainable infrastructure, there is continue to increase demand for electricity, which has imposed the use of more advanced and intelligent Which will save effort and time in dealing with these problems and also in line with the modern vision of the necessity of digital transformation. To improve its use and consumption using artificial intelligence, through which data is collected from various sources and then analyzed in order to track consumption and contribute to decision-making. Through our research, we are designing an integrated system for electricity companies, through which consumers' smart meters are linked to the system, where employees of these companies receive information from these meters about electricity consumption and take real-time readings from these meters in order to calculate the cost. This data will also be analyzed using artificial intelligence algorithms K-nearest and Support vector machine displayed in an interactive dashboard to know the rates of consumption and track them and know the amount of electricity waste, which enables these companies to make decisions or develop policies to reduce consumption and waste of energy that causes an increase in carbon and greenhouse gasses and maintain sustainability.