Predicting Energy Consumption in Systems with Intelligent Equipment

The issues of using digital technologies for the tasks of analysis, forecasting and regulation of energy consumption in systems with intelligent equipment are considered. The advantages and disadvantages of today used energy consumption models with fixed tariffs for two or three zones and the possibilities of using dynamic tariffs are considered in the series of experiments. A model for dynamic tariff determination has been developed. A comparison of these models on historical time series data is carried out. The influence of the number of used smart devices on the uniformity of electricity consumption when choosing a dynamic consumption model is considered. The results of this study can be used for improving of energy management, electric power generation planning, improving the efficiency of energy consumption management in the systems with intelligent equipment.