#Enershare Pilot 1 results "Wind Farm Integrated Predictive Maintenance and Supply Chain Optimisation", is now available! It's aiming at addressing the problem of data availability on wind turbines in operation. Get more:#EnergyDataSapaces

Join the #Enershare Workshop at The AI+ Conference in Halden! Massimo Bertoncini (a project coordinator), and Thomas Mikkelsen (Smart Innovation Norway), will lead the workshop on the topic "#DataSharing in the European Energy Sector". More info:

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Massimo Bertoncini took the stage as a speaker at #FIWARESummit25 in Rabat (Morocco), presenting #Enershare and sharing insights into how facilitate sustainable renewable consumer centric transition for the Energy #DataSpace. More about project:

NTUA and DESFA signed MoU to Advance European Energy Data Innovation through Data Space Technologies in the context of Enershare project. Establishing a collaborative framework allows DESFA to contribute valuable datasets to the project. Read more:

This initiative aims to seamlessly merge renewable electricity with the natural gas sector in Greece and throughout the European Union, utilizing Power-to-Gas (P2G) technologies. Learn more about TwinP2G: #DigitalTwin #DataSharing #SmartEnergy

In the EU's changing energy landscape, integrating renewable sources with natural gas infrastructure is essential. NTUA Decision Support Systems Laboratory and DEPA Commercial are collaborating on an advanced Digital Twin application to meet this need.

The paper details a framework for interoperability in energy data spaces, covering technical, semantic, organizational, and legal aspects. It was shared at the Data Spaces Symposium alongside other projects from the cluster. #DSS25 #DataSpaces #SmartEnergy

Partners in the Enershare consortium represented Enershare at #DSS25. They presented the achievements of the Energy Data Spaces Cluster, including the published Energy Interoperability Task Force paper coordinated by IDSA. #DataSpaces #SmartEnergy

LEIF funds energy projects to help municipalities and businesses shift to cleaner energy. To enhance this effort, LEIF partnered with NTUA to develop AI4EF, an AI tool that offers data-driven insights for energy efficiency and green financing.

Learn more about the Enershare pilot projects! How can AI enhance energy efficiency and inform investment decisions? This question is being explored through a collaboration between LEIF and NTUA as part of the Enershare project.

The Enershare Deliverables offer an overview of the high-quality progress of work achieved during the project's lifetime. The deliverables outline the list of documents produced over the 36-month duration of the project. #DataSpaces #DataSharing

In their demo, Smart Energy Lab showcases how their health insurance alarms monitor the energy consumption of households with seniors living alone, identifying regular usage patterns & triggering alarms when there are significant changes in these patterns.

Explore this data-space integrated Vector Autoregressive model for short-term forecasts of renewable energy & load using real-time data from geographically distributed sensors, wind turbines, solar power inverters, considering vertical federated learning.

Second, it enables operators to announce or post their flexibility needs, which are communicated to FAR users via the OneNet connector. 💻 Check out a demo of their service on the #ENERSHARE website. #DataSpaces #DataSharing

European Dynamics' Cross-Operators’ Portal (COP) Service aims to provide a two-fold support system for grid operators. First, it offers comprehensive analytics regarding the installed flexibility and the availability of spatial-temporal flexibility across their grids. #Enershare

💡 The demo titled "Federated Transfer Learning Flexibility Potential Service," presented by project partner @ComSensus, primarily orchestrates the life cycle of flexibility potential AI models. #ENERSHARE #DataSpaces #DigitalTwins #DataSharing

In their demo "Anomaly Detection of Electric Generators," project partners @tecnalia and HINE present their service for identifying electrical anomalies in the stator winding of synchronous generators that utilize permanent magnet technology. #DataSpaces

R&D Nester's Substation Load Forecasting Tool offers day-ahead net load forecasts, which can be utilized for nationwide aggregate net load predictions as well as for forecasting at the domestic level. Watch their demo: #Enershare #SmartEnergy #DataSpaces

Fraunhofer's "Federated Learning Approach to an Anomaly Detection Service" uses autoencoders to learn the normal behavior of wind turbines using historical SCADA data. A demo of their service is now available on the #ENERSHARE website. #DataSpaces

💡 Through this partnership, IPTO’s datasets from the “Operation & Market Files API” will be accessible within the Enershare Data Space, fostering transparency and supporting the EU’s vision for a unified energy data space.