AIRGo - I-NERGY - Open Dataset
This asset is the open dataset used for the experiment and for develop the proof of concept. It is an open dataset of RTE data for Energy grids.
AI is expected to dramatically reshape the energy sector. This section provides references on on-going projects and existing results in that area.
This asset is the open dataset used for the experiment and for develop the proof of concept. It is an open dataset of RTE data for Energy grids.
The Machine Learning (ML) models used to predict both energy needs and future environmental parameters of the some retail stores in Italy
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...
A dataset containing real data related to energy consumption from 3 industrial sites in EU
A dataset containing real data from 20 retails stores in Italy related to energy consumption and environmental well-being
The Open Source suite for Analytics and Business Intelligence. Combine any kind of data in your advanced analysis, get insights and rich information, power your data-driven business strategy.
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, in an hourly basis.
Data storage of Piva, Krupac and Slano, Montenegro water reservoirs from 2020 to 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.
This service improves net load forecasting at the TSO-DSO interface for effective operational planning, using advanced machine learning techniques.