Flexibility is increasingly emerging as a crucial strategy to address all of this at both macro and micro levels. On a macro scale, flexibility is essential for managing energy systems and grids.

In a market characterized by increasing competition and volatility, investing in advanced analytics and machine learning technologies is essential for improving the buying (bids) and selling (offers) in the market.

The smart grid market is undergoing rapid transition. The power distribution utilities, technology providers and system integrators are exploring smarter ways to exercise choices in the use of distributed energy resources and take control of the electricity distribution systems.

«ТЭК - один из лидеров по доле организаций, применяющих ИИ, а именно занимает 3 место среди отраслей (40,6%). В ближайшие три года ожидается рост этого показателя еще на 18,1 процентных пункта», - сказал заместитель Министра энергетики Эдуард Шереметцев.

Математические модели и цифровые двойники стали эффективными инструментами для проектирования, мониторинга, а также прогнозирования работы энергетических объектов.

AI chatbots such as ChatGPT and Bard are known as voracious consumers of electricity and water. More precisely, it is the colossal data centers powering them that are to blame and there are no signs of slowing down.

The International Energy Agency (IEA) predicts that the US data center electricity consumption will rise from 200 TWh in 2022 to about 260 TWh by 2026 – roughly 6% of US electricity demand – while a study by the Boston Consulting Group (BCG) puts the number at 7.5% by 2030.

Digital infrastructure is being deployed across various layers of the power grid, from transmission to distribution, enabling better management and optimization of electrical systems.

This starts by asking about who owns AI and how it might be employed in everyone’s best interest. The future belongs to us all.

What are the latest trends in the power and utilities sector?

As digital technologies evolve, so too does their appetite for energy. This correlation is particularly evident in the realm of data centers, which are increasingly burdened by the demands of artificial intelligence (AI).

At its core, a Digital Twin is not merely a simulation but a dynamic digital replica intricately entwined with real-world phenomena.

As solar and storage costs continue to decrease, at what point will having stand-alone power for customers of all types be a reality? What about microgrids that can use fuel cells and emerging green or even blue hydrogen technologies.

Factors in the Energy Utility Grid’s growth involve two facets of the Energy Industry, technology and energy consumer populations. Technology developments successfully applied to the Energy Utility Grid to expand efficiency, reliability, and stability include AI, SMART Grid platforms, and DERs.

Целью стратегического направления является ускоренный переход энергетического сектора Российской Федерации на новые управленческий и технологический уровни, способствующие достижению технологического суверенитета,