INTELLIGENT ENERGY SUPPLY MANAGEMENT SYSTEM IN THE MUNICIPAL SECTOR
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Keywords:
intelligent system, energy supply management, utilities, machine learning, energy efficiency, optimization, data analysisAbstract
The subject of this study is the methods, tools and intelligent systems for managing energy supply in the public utilities sector. The object of the study is the process of energy management in the municipal sector. The purpose of the study is to develop an intelligent energy management system in the public utilities sector. To achieve this goal, the following tasks were solved: the main problems of energy efficiency in the housing and communal services sector were analyzed and ways to solve them using modern technologies were proposed; the methodology for developing an intelligent system (SmartGrid) was chosen; the architecture of an intelligent energy management system was proposed; the algorithm of the intelligent energy saving management component was presented; to determine the electricity consumption in the system, a methodology was used that involves the collection and analysis of data from the Machine learning algorithms, such as the support vector method, neural networks, and decision trees, are used to determine the optimal mode of energy consumption. Conclusions: the use of the proposed system will reduce the cost of energy supply in the municipal sector and increase its energy efficiency, the possibility of integration with other municipal management systems.
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