Elena V. Galperova

Melentiev Energy Systems Institute Siberian Branch of the Russian Academy of Sciences

Long-term forecasting of energy demand is an important fundamental part of research in the development and adoption of strategic decisions in the field of energy and economic security. An integral part of the methodology for long-term forecasting of energy consumption is the identification, analysis and study of the influence on the volume and structure of energy demand a factors and relationships in the energy sector and the economy. The use of digital technologies related to monitoring, obtaining, processing large amounts of data in all areas of the economy and people's lives today already consumes more than 5% of the world's electricity and its further growth is expected. The article analyzes use perspective the main digital technologies in different sectors of the economy. We present estimates of their influence on the different energy demand carriers. There is great uncertainty in estimates of prospective energy consumption, depending on possible government policies, changes in the lifestyle, the speed of development and implementation of technical innovations.

energy consumption, energy efficiency, energy saving, digital technologies, data center, connected devices