When the European Commission published its practical guidelines on EU AI Act Annex III (view the official explorer), energy tech teams faced an immediate operational question: which algorithms are actually classed as high risk? If your code makes automated decisions...
If there is one thing clear-cut about the ongoing transition of Europe’s power grids, it is that humans can no longer manage the sheer volume of operational data alone. Between the surge in smart meters, local solar arrays and fluctuating electric vehicle demands,...
As Europe moves towards a decentralised, cleaner energy network, the energy sector is experiencing an unprecedented influx of digital data. Millions of smart meters, smart sensors, solar installations and local microgrids continuously transmit operational readings....
How EnergyGuard Is Building a Pan-European Innovation Ecosystem for AI in Energy Europe’s green and digital transitions require more than advanced technologies—they demand connected ecosystems where innovation can be tested, validated, and scaled across borders....
AI applications in the energy sector: Possible interaction with data protection concerns Data protection concerns are closely related and should be taken under consideration when dealing with AI systems related to the energy sector where data protection processing...
Testing and Experimentation Facilities (TEF) as the new path for bringing Innovation to Market AI and digital solutions often stall at the pilot stage due to lack of validation environments, data access, or trust. EnergyGuard as a bridge between research, innovation,...
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