SmartRIVER_forecast
A service for predicting river discharge in a specific river section for the next time step
AI is expected to dramatically reshape the energy sector. This section provides references on on-going projects and existing results in that area.
A service for predicting river discharge in a specific river section for the next time step
A Gradient Boost model for building-level electricity load forecasting
A repository with some of the models developed and trained for the AI4Hotels project.
Real electric load and occupancy data used to train the forecast models in the AI4Hotels project
Demonstration web application for the AI4Hotels project within the I-nergy call. The demonstration webapp allows the user to visualize the data used for training the forecasting models, as well as run the electric load forecasting model and the occupancy ...
Frontend and backend docker container for the application
The docker contains the scripts to apply the trained model, trained saved in the resource folder.
The docker contains the execution script to train the models on a dataset with extended labels
Link to a Git repository that includes the syntethic Data set and a Docker container that implements an API Gateway based on python Tornado framework, that implement the AI algorithm based on syntethic data, and the method useful to train and predict da...
This container provide the services for label extension on a tagged dataset using a voting algorithm.