Monitoring and Control of Energy Consumption Systems, using Neural Networks
Shvets O. Seebauer M. Naizabayeva A. Toleugazin A.
2023Budapest Tech Polytechnical Institution
Acta Polytechnica Hungarica
2023#20Issue 2125 - 144 pp.
Industries, cities, towns and households, around the world, need reliable, affordable and sustainable energy to meet their electricity demand. Renewable energy can make a significant contribution to the development of this area and satisfy this need of the population, both in private households and in the field of industry, transport and supply of entire settlements. This study examines the design of an intelligent energy management system for a residential building. The smart home energy management system must use new infrastructure based on modern technologies such as DSE (Deep Sea Electronics) controller, smart devices, advanced communications, electrothermal models of critical components and advanced optimization models. The main advantage of this energy management system is that it will allow real-time control and monitoring of a home that includes all the components connected to it (for example, a distribution transformer and household appliances). The control system should work without changing the customers lifestyle. The article discusses topical issues of energy saving in accordance with the development program of the Republic of Kazakhstan until 2050, analyzes the trends in energy saving policies, in different countries. It is developed C# software, for monitoring and control.
energy management , energy saving , fuzzy logic , neuronet , smart house
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D.Serikbayev East-Kazakhstan Technical University, Serikbayev st., 19, Ust-Kamenogorsk, 070003, Kazakhstan
Óbuda University, Bécsi út 96/B, Budapest, 1034, Hungary
D.Serikbayev East-Kazakhstan Technical University
Óbuda University
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026