Skip to main content
Go to the home page of the European Commission (opens in new window)
English en
CORDIS - EU research results
CORDIS

Energy-efficient AI-ready Data Spaces

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Stakeholder Engagement and Dissemination Plan (opens in new window)

Document registering the key activities per target group, pertaining to maximizing the dissemination of GREEN.DAT.AI outcomes during and after the project’s lifecycle.

Pilots' Scoping Document (opens in new window)

Report outlining the demonstrators’ implementation plans, milestones. The report will identify key stakeholders for the testing/validation phase and include the User Acceptance test templates.

Use Case Requirements, KPIs & Reference Architecture (opens in new window)

Report consolidating results of work carries out in WP1 tasks T1.1 - T1.4. More specifically, it sets out the business & technical requirements, specifies the overall solution architecture based on the outputs of the activities in T1.2 and T1.3, and lays out the testing framework for all the pilots.

First Version of Energy-Efficient Large-Scale Data Analytics Services (opens in new window)

D3.1 presents the first iteration of the work employed towards the design and development of nine different services that aspire to provide energy-efficient large-scale data analytics. The software library and report will cover AI-enabled data enrichment, Incentive mechanisms for Data Sharing, Synthetic Data Generation, Large-scale learning at the Edge/Fog, Federated & Auto ML at the edge/fog, Explainable AI, Feature Learning with Privacy Preservation, Federated & Automatic Transfer Learning, Adaptive FL for Digital Twin Applications, Automated IoT event-based change detection/ forecasting.

Data Management infrastructure and tools to support Dynamic Ecosystems (opens in new window)

D2.1 showcases the design and development of the BDA infrastructure including the Federated Data Sovereignty services and the plan for data pipelines management and continuous integration. It also delivers the visualisation tools needed for the pilots, the workflow management engine required to schedule distributed analytics pipelines, and, finally, wrappers that secure computations & sensitive data at the edge/fog/cloud. A report will detail or the platform components, their interfaces, and data pipelines management mechanisms. The deliverable will include the first prototype of the visualisation workbench, interfaces, distributed analytics services, workflow management engine, and the wrappers for Securing Computations and Sensitive Data at the Edge/Fog/Cloud.

Publications

GREEN.DAT.AI: an energy-efficient, AI-ready data space

Author(s): Ben Capper
Published in: Red Hat Research Quarterly (Q3 25), 2025
Publisher: Red Hat Research

AI-ready Data Products

Author(s): Pezuela Robles, C. M., De Majo, C., Alonso, D., Curry, E., Simperl, E., Laatikainen, G., Fidan, G., Chrysakis, I., Giner Miguelez, J., Aas, K., Majithia, N., Plebani, P., & Carey-Wilson, T. (2025, December). AI-ready data products. Big Data Value Associat
Published in: BDVA Publications, 2025
Publisher: BDVA

Connecting Data Spaces, a practical approach using the Sovity Connector (opens in new window)

Author(s): Panos Protopapas, Despina Brasinika, Ioanna Fergadiotou, Yaroslav Yavornytskyi, Martin Wagner, Arturo Medela
Published in: 2025
Publisher: Zenodo
DOI: 10.5281/ZENODO.18030959

GREEN.DAT.AI: Enabling energy-efficient AI services

Author(s): Ioanna Fergadioou
Publisher: Innovation News Network

Fingerprinting the Shadows: Unmasking Malicious Servers with Machine Learning-Powered TLS Analysis (opens in new window)

Author(s): Andreas Theofanous, Eva Papadogiannaki, Alexander Shevtsov, Sotiris Ioannidis
Published in: Proceedings of the ACM Web Conference 2024, 2024
Publisher: ACM
DOI: 10.1145/3589334.3645719

Dataset2Graph: A GNN-based Methodology for AutoML for Clustering

Author(s): E. Dilmperis, Y. Poulakis, D. Petratos, C. Doulkeridis
Published in: 9th Workshop of Data Management for End-to-End Machine Learning (DEEM’25)
Publisher: DEEM

Geolet: An Interpretable Model for Trajectory Classification (opens in new window)

Author(s): Cristiano Landi, Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni
Published in: Lecture Notes in Computer Science, Advances in Intelligent Data Analysis XXI, 2024
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-30047-9_19

An AutoML Approach for Bike Demand Forecasting and Redistribution (opens in new window)

Author(s): Dimitris Petratos, Yannis Poulakis, Irene Gimenez Pedralba, Cristina Aragon Garcia, Christos Doulkeridis
Published in: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Intelligent Transport Systems, 2025
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-86370-7_9

Pythia: Distributed Pattern-based Future Location Prediction of Moving Objects

Author(s): Panagiotis Tampakis, Nikos Pelekis
Published in: ISSN 1613-0073
Publisher: CEUR Workshop Proceedings (CEUR-WS.org)

Interpretable Data Partitioning Through Tree-Based Clustering Methods (opens in new window)

Author(s): Riccardo Guidotti, Cristiano Landi, Andrea Beretta, Daniele Fadda, Mirco Nanni
Published in: ISSN 2193-1801
Publisher: Springer Science and Business Media Deutschland GmbH
DOI: 10.1007/978-3-031-45275-8_33

A Protocol for Continual Explanation of SHAP (opens in new window)

Author(s): Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu
Published in: ESANN 2023 proceesdings, 2023
Publisher: Ciaco - i6doc.com
DOI: 10.14428/ESANN/2023.ES2023-41

PyClust: Building Meta-learning Repositories for Clustering

Author(s): Y. Poulakis, D. Petratos, C. Doulkeridis
Published in: 2025
Publisher: 25th IEEE International Conference on Data Mining (ICDM'25)

FAIRness in Dataspaces: The Role of Semantics for Data Management

Author(s): Marco Hauff, Lina Molinas Comet, Paul Moosmann, Christoph Lange, Ioannis Chrysakis, Johannes Theissen-Lipp
Published in: ISSN 1613-0073
Publisher: CEUR Workshop Proceedings (CEUR-WS.org)

A Shape-Based Map Matching Approach for Geographic Transferability of Discriminative Subtrajectories

Author(s): Cristiano Landi, Riccardo Guidotti
Published in: ISSN 1613-0073
Publisher: CEUR Workshop Proceedings (CEUR-WS.org)

Electric Vehicle Charging Load Forecasting: An Experimental Comparison of Machine Learning Methods (opens in new window)

Author(s): Iason Kyriakopoulos, Yannis Theodoridis
Published in: 2025, ISSN 1112-3455
Publisher: arXiv
DOI: 10.48550/ARXIV.2512.17257

Path-based traffic flow prediction

Author(s): Efstratios Karkanis, Nikos Pelekis, Eva Chondrodima, Yannis Theodoridis
Published in: ISSN 1613-0073
Publisher: CEUR Workshop Proceedings (CEUR-WS.org)

High-resolution spatiotemporal assessment of solar potential from remote sensing data using deep learning (opens in new window)

Author(s): Mitja Žalik, Domen Mongus, Niko Lukač
Published in: Renewable Energy, ISSN 1879-0682
Publisher: Elsevier
DOI: 10.1016/J.RENENE.2023.119868

A Survey on AutoML Methods and Systems for Clustering (opens in new window)

Author(s): Yannis Poulakis, Christos Doulkeridis, Dimosthenis Kyriazis
Published in: ACM Transactions on Knowledge Discovery from Data, ISSN 1556-4681
Publisher: Association for Computing Machinery
DOI: 10.1145/3643564

From Fossil Fuel to Electricity: Studying the Impact of EVs on the Daily Mobility Life of Users (opens in new window)

Author(s): Mirco Nanni, Omid Isfahani Alamdari, Agnese Bonavita, Paolo Cintia
Published in: IEEE Transactions on Intelligent Transportation Systems, ISSN 1558-0016
Publisher: IEEE
DOI: 10.1109/TITS.2023.3

Multi-Partner Project: Green.Dat.AI: A Data Spaces Architecture for Enhancing Green AI Services (opens in new window)

Author(s): Ioannis Chrysakis, Evangelos Agorogiannis, Nikoleta Tsampanaki, Michalis Vourtzoumis, Eva Chondrodima, Yannis Theodoridis, Domen Mongus, Ben Capper, Martin Wagner, Aris Sotiropoulos, Fábio André Coelho, Cláudia Vanessa Brito, Panos Protopapas, Despina Brasinika, Ioanna Fergadiotou, Christos Doulkeridis
Published in: 2025 Design, Automation & Test in Europe Conference (DATE), 2025, ISSN 1530-1591
Publisher: IEEE
DOI: 10.23919/DATE64628.2025.10992729

Searching for OpenAIRE data...

There was an error trying to search data from OpenAIRE

No results available

My booklet 0 0