Monitoring and Control of Energy Consumption Systems, using Neural Networks

Abstract

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 customer's 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.