Reykjavik University
AI is expected to dramatically reshape the energy sector. This section provides references on on-going projects and existing results in that area.
AI-Cure provides tools for verifying the correct installation of machinery and systems, validating telemetry, identifying energy consumption profiles, and predicting system usage. Additionally, it identifies inefficiencies to provide targeted energy ad...
In the ever-evolving landscape of energy infrastructure, Linc emerges as a trailblazer, harnessing the power of artificial intelligence to transform the management of distribution transformers. Discover how the StairwAI second open call programme is h...
Service Docker deployment accompanied by a Postgresql/PostGIS database.
A Dataset with Energy Efficiency Measures available for renovations provided by REA (Riga Energy Agency)
A physics-informed deep neural network developed to predict the energy consumption of a buildings.
A forecasting service for predicting the positive active energy (in kWh) consumption of prosumers in the Italian city of Terni. The dataset was provided by ASM and the service makes use of a LightGBM model. (AIExperiments Asset)
A global forecasting service for predicting the aggregated hourly net electrical load of 20 European transmission system operators (Belgium, Czech Republic, Denmark, Estonia, Estonia, Finland, France, Greece, Hungary, Italy, Latvia, Lithuania, the Netherl...