Simple NN ship performance model
NN-SPM estimates ship fuel consumption taking into consideration weather and operational conditions.
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NN-SPM estimates ship fuel consumption taking into consideration weather and operational conditions.
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...
A machine learning operations (MLOps) framework for time series forecasting
The service is based on the Energy Performance Certificates XML database from Asturias region (in the North of Spain), and it checks data from different parameters in the XML (either an uploaded file or selecting one from the database) according to differ...
The service supports users in the definition of the Measurement and Verification Plan following the instructions provided in the International Performance Measurement and Verification Protocol (IPMVP). It is divided into two parts, one to define the prope...
The dataset was designed for prediction of vegetation health on Sentinel-2 imagery and utilized in the AI4Copernicus service: “Long Short-Term Memory Neural Network for NDVI prediction" in which an LSTM neural network was trained in order to create an AI ...
The dataset was designed for semantic-segmentation-based deep learning models and utilized in the AI4Copernicus service: “Deep network for pixel-level classification of S2 patches" in which a U-net neural network was used in order to create an AI model fo...
We present here three scenarios of 24h that we used to test the AI4CZC model. These scenarios include an usual day scenario, a scenario where the Montenegro thermal plant is down, and a scenario were the cable between Montenegro and Italy is down.
Machine learning algorithm for delineation and zoning blueberry fields using UAV multispectral images and calculated vegetation index maps. This work has been carried out in the scope of the H2020 FlexiGroBots project, which has been funded by the Euro...