With the increased number of distributed energy resources DERs onto the grid, energy operators need a predictive system based on consumption and production patterns to help them avoid congestion and overvoltage events in the grid. In this article, we cover a specific project we are running under the i-nergy programme, an EU-funded initiative aiming to support and develop new AI-based Energy Services.
Barbara joins Sec2Grid Project to accelerate and improve the process of discovery, detection and mitigation of vulnerabilities in grid devices, as a basis for the specification of cybersecurity management requirements in a Smart Grid system.
Barbara´s technology is being implemented for the management and exploitation of energy resources in Local Energy Communities at ELKARTEN Project. It will also secure data exchange of energy generation and consumption amongst their members.
In this post we reveal everything you need to know about Smart Grids, the intelligent electricity distribution networks that efficiently integrate the behavior and actions of all users connected to it.
Artificial Intelligence (AI) is the greatest catalyst for technological innovation in history, with countless applications in the energy sector. Key examples are the optimisation of production and storage, smart market trading, consumer savings and efficient consumption models for reducing carbon footprints, among others.
A new concept resonates in recent times among analysts and professionals in the energy sector: the Internet of Energy. It is a trend that has arisen from the urgency caused by the accumulation of events affecting a sector that is more in crisis than ever. Factors such as climate change, international conflicts, the supply crisis, escalating prices and new regulatory requirements have put the sector in the spotlight.