Twinning for Optimized Decision Intelligence in Data-Intensive Environments

Información del proyecto

TwinODIS

Identificador del acuerdo de subvención: 101160009

DOI

10.3030/101160009

Fecha de la firma de la CE 28 Marzo 2024

Fecha de inicio 1 Octubre 2024

Fecha de finalización 30 Septiembre 2027

Financiado con arreglo a

• Widening participation and spreading excellence

Coste total

Sin datos

Aportación de la UE

€ 1 488 125,00

Coordinado por

IDRYMA TECHNOLOGIAS KAI EREVNAS
Greece

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Data Management Plan (2)

Data management plan (update)

This deliverable is an update of the initial DMP (D1.3)

Data management plan

Details how project data will be collected, stored, & shared in compliance with EU regulations and best practices

Documents, reports (4)

Explainable-fair-ethical Decision Intelligence Systems (DIS) with hybrid AI-OR optimization models

The deliverable outlines the mechanisms for the creation of explainable, fair, and ethical DIS and analyzes the details of TwinODIS hybrid AI-OR optimization models

Dissemination & communication plan

Outlines actions for disseminating and communicating (D&C) project outcomes to various stakeholders

Capacity building needs of Host institution

The deliverable outlines the capacity building needs of FORTH-ICS research, technical, and administration staff

Exploitation & IPR management plan

Plans for managing IP and maximizing project outcomes

Websites, patent fillings, videos etc. (1)

Establish D&C channels

Creation of D&C channels (website, social media accounts, videos, etc.) for project visibility and updates to key stakeholders

Publicaciones

Conference proceedings (4)

Efficient Pattern-Based Analysis of Network Flows in IoT Systems

Autores: C. Tzagkarakis, T. Palpanas and G. Tzagkarakis
Publicado en: Eighth International Balkan Conference on Communications and Networking, 2025
Editor: BalkanCom 2025

AI-Driven Probabilistic Models for Robust Risk-Based Household Battery Scheduling

Autores: C. Tzagkarakis, K. Boerjan, E. Karakoyun, R. Dekker, and G. Tzagkarakis
Publicado en: 10th International Symposium and 32nd National Conference on Operational Research, 2025
Editor: HELORS
DOI: 10.5281/ZENODO.18788491

Adaptive Electricity Price Forecasting for EV Charging: Integrating Exogenous Forecasts and Rolling Window Training

Autores: G. Roussakis, T. Danique, T. Kers, R. Dekker, and G. Tzagkarakis
Publicado en: 10th International Symposium and 32nd National Conference on Operational Research, 2025
Editor: HELORS
DOI: 10.5281/ZENODO.18788613

Adaptive Matrix Profile Indexing for Motif Discovery and Anomaly Detection in Irregular Multivariate Time Series

Autores: G. Tzagkarakis, G. Renouard, and T. Palpanas
Publicado en: 10th International Symposium and 32nd National Conference on Operational Research, 2025
Editor: HELORS
DOI: 10.5281/ZENODO.18788719

Other (1)

Optimised Decision Intelligence in Dataintensive Environments

Autores: G. Tzagkarakis, R. Dekker, and T. Palpanas
Publicado en: ERCIM News,Special theme: Large-Scale Data Analytics, Edición 140, 2025
Editor: ERCIM