The role of artificial intelligence methods in enhancing the work of Energy infrastructure networks in industrial cities - A case study –the industrial city in Hasiya

Abstract

The global economy is witnessing a radical shift from the existing development model towards the sustainable development model, in order to remedy the dangerous effects that resulted from traditional development models. In this field, artificial intelligence applications are one of the approaches that have a role in promoting sustainable development. The research highlights the operation of energy infrastructure networks and facilities in industrial cities and their importance in governing the work of the network and enhancing its sustainability, as smart energy management

systems based on artificial intelligence can help industrial cities in raising the efficiency of energy demand, reducing costs, and reducing artificial environmental impact, and thus integrating intelligence The energy infrastructure networks in industrial cities holds great potential to enhance operational efficiency, sustainability and resilience.

The research aims to develop a special methodology to enhance the work of the energy network in the industrial city of Hassia by evaluating the indicators of the work of this network. To achieve this, a questionnaire was designed directed to a sample of experts in the industrial city, and the results of the research were concluded with an analysis of the work of this methodology before and after its application. And special recommendations to serve decision-makers and those responsible for the planning process.