The work is devoted to the development of an information model based on ontological approach in the framework of an educational course. The aim is to reduce the communication time between the participants of the educational process: coordinators, students and tutors. The concept of the solution was formed, namely analysing the activity of the course coordinator in the ‘Telegram’ chats within the course ‘Digital district of electrical networks’ of the network university ‘Energynet’. Based on this, ways to reduce time costs were identified by creating a Telegram bot based on an ontology model. The method reduces the time cost of communication between the coordinator, tutors and students. The results of the study showed that the chatbot built on the ontological model of the educational process within the course ‘Digital district of electrical networks’ helps to significantly reduce time costs of the communication process within the educational model.

Keywords: ontology, networked learning, educational model, chat bot, ontological model, telegram bot, online education, energy, digital university

Forecasting is required for effective control of the processes of electric power transmission and consumption, load estimation, and reduction of technical and commercial losses. The methods based on artificial neural networks are the most universal. However, practical application of those methods is limited by the complexity and the cost of software and by high requirements to the personnel who create and operate such systems. We propose two ways of the interaction between providers and consumers of forecasts of electric power consumption that solve those problems. The first way implements "model as a service" conception and the second way implements "forecast as a service" conception.

Keywords: electricity demand forecasting, information system, artificial neural network, forecast provider, forecast consumer, way of interaction