AI REGIO-Synthetic Data Generation Engine (SynData)
A flexible and extensible synthetic data generation engine based on mainstream statistics distributions and on timeseries generative AI techniques.
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A flexible and extensible synthetic data generation engine based on mainstream statistics distributions and on timeseries generative AI techniques.
- Generation of current Soil Moisture (SM) local maps based on the use of a ML model that processes ground-based precipitation measurements and Normalized Difference Moisture Index (NDMI) processed from the last available Copernicus S2 satellite tile. - ...
This service improves net load forecasting at the TSO-DSO interface for effective operational planning, using advanced machine learning techniques.
Dashboard service for Asset Management of Circuit Breakers (CBs), including a set of AI-based analytics for power system fault analysis and predictive maintenance for CBs, predicting the optimal days of operation before the next maintenance action is requ...
This asset enables the use of the ENSHP planning system inside the Unified Planning library.
A constraint-based planning engine for unified planning.
This asset provides the interfacing between the FMAP multi-agent planner and the Unified Planning framework developed by the AIPlan4EU project.
This asset contains the notebook of the AI model developed in the EO4NOWCAST project, which allows to estimate a current Soil Moisture Map starting from two inputs: - The most recent NDMI map available from Copernicus - The cumulative rainfall map
This AI model developed in the EO4NOWCAST project allows to estimate a current Soil Moisture Map starting from two inputs: - The most recent NDMI map available from Copernicus - The cumulative rainfall map
This dataset contains a set of samples used in the EO4NOWCAST project to train a ML model to predict current soil moisture map in a Area of Interest (in this case, Genoa basin in Italy). Soil Moisture estimation is a crucial parameter for prediction of fl...