Improving the Structure of Intellectual WattRouter for Optimize Self-Consumption of Energy Produced by Solar Panel

A vital task of the research is the development of methods and information technologies for energy-efficient regulation of produced energy by household alternative energy sources. In particular, the problems of optimization of the structure of the intelligent ballast load control system and the creation of its energy-efficient operating modes. The aim of the work is to develop the structure of an intelligent system such as the WattRouter. The main task is to manage the ballast load based on the analysis of the indicators of consumed and generated energy and environmental parameters (temperature, humidity, pressure, weather forecast). An improved structure of the intellectual WattRouter was proposed on the basis of the use of the adaptive neuro-fuzzy logic unit for generating the conclusion and control information.