The Decision Support Systems Laboratory (DSS Lab, ICCS) is proud to coordinate the EnergyGuard project, a Horizon Europe Testing and Experimentation Facility (TEF) that brings trustworthy AI to the energy sector. EnergyGuard provides large-scale infrastructures and sandbox environments where startups, SMEs, and industry players can test, validate, and certify AI solutions under realistic conditions.
The project develops five pilots that showcase AI across the energy landscape:
1️⃣ Smart Grids in Portugal: Advancing fault detection and resilience with AI-driven digital twins of the transmission system.
2️⃣ Microgrids in Spain: Predictive maintenance to keep renewable energy equipment reliable and efficient.
3️⃣ Hydrogen & Hybrid Energy Systems in France, Spain, and Italy: Optimizing electrolysers and hybrid plants through AI-powered digital twins.
4️⃣ Buildings in Latvia: Enhancing energy efficiency in residential complexes with AI-driven building digital twins.
5️⃣ Energy Communities in Italy: Improving the performance of local renewable energy communities through AI experimentation.
DSS Lab assumes the technical coordination of the Latvian pilot 4, where AI-powered digital twins are applied to multi-apartment residential buildings in Riga. By combining real consumption data with advanced modelling, the pilot explores how to optimize heating, cooling, and overall energy use in everyday living spaces. The aim is to demonstrate measurable efficiency gains and cost savings for residents, while contributing directly to Europe’s climate and digital transition goals. EFI-DSS tool developed by DSS Lab will play a key role in this process. More information on EFI-DSS can be found here.
Also, DSS Lab coordinates the Portuguese Pilot 1, where a digital twin of the country’s transmission system will be used along with forecasts of energy production and consumption. These forecasts will be provided by DeepTSF, which is an automated codeless forecasting application based on AI / ML algorithms, and developed by DSS Lab. The goal is to use these forecasts to validate energy market results while increasing efficiency and decreasing the imbalances of the grid. More information on DeepTSF can be found here.
