AI is expected to dramatically reshape the energy sector. This section provides references on on-going projects and existing results in that area.
Discover one of the breakthrough achievements of the ESFA project, a pioneer project in the field of Artificial Intelligence applied to Climate Prediction. Leveraging Geoskop’s revolutionary AI algorithms, housed in a Docker image, we provide unprecedente...
The Joint Theme Development Workshop (TDW) co-organised by CLAIRE, TAILOR and VISION on “AI for Future Energy & Sustainability” took place on the 23rd of February 2023. The report is now available.
The main goal is to achieve excellence in the HELIOS public lighting remote management system, implemented in more than 40 cities in Spain. We will use AI to predict future breakdowns for both luminaire and eboxes. The necessary data is included
AI E2O.GREEN AI assets pipeline for automated Golf and Grassland Monitoring through interactive maps and computer vision models based on Copernicus data and services.
A dataset of the Montenegro electricity generation by generation unit for the whole year 2022, on an hourly basis.
Data storage of Piva, Krupac and Slano, Montenegro water reservoirs during 2022.
This dataset contains data of electricity generation of Montenegro and several neighboring countries between 2019 and mid 2023. Data was gathered from the ENTSOE transparency platform.
Are you an EU-based expert organisation working on Energy and AI? Do you want to make your work visible and thus get more opportunities and connections across these sectors? I-NERGY is looking for YOU!
Following a careful review and assessment of 80 applications from 26 European Union and Associated Countries member states, the I-NERGY initiative selected the 15 winning proposals who have embarked on a nine-month-long Technical Transfer Programme (TTP) ...
The main goal of this project is to make accurate forecasts on the network’s future behaviour, taking into account, among other topics, problems related to the increasing integration of Distributed Energy Resources in LV networks.