Data-driven Residential Energy Carrier-agnostic Demand Response Tools and Multi-value Services

Informations projet

DEDALUS

N° de convention de subvention: 101103998

DOI

10.3030/101103998

Projet clôturé

Date de signature de la CE 26 Avril 2023

Date de début 1 Mai 2023

Date de fin 30 Avril 2026

Financé au titre de

• Climate, Energy and Mobility

Coût total

€ 7 359 075,00

Contribution de l’UE

€ 5 999 801,25

Coordonné par

ENGINEERING - INGEGNERIA INFORMATICA SPA
Italy

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Other (3)

DEDALUS technological enablers for multi-value and energy carrier-agnostic residential DR (1st technology release)

The deliverable will report about the first release of the DEDALUS technological enablers for multi-value and energy carrier-agnostic residential DR, including standardised architectural concepts, protocols and data models, flexibility modelling and privacy-preserving DR prediction to support DR aggregation for residential buildings and corresponding to the first technical release MS4.Success criteria: Availability of first version of the technological enablers. (T3.1, T3.2, T3.3, T3.4, T3.5, T3.6)

‘First wave’ of DEDALUS Digital Twins and data-driven services for residential DR

The deliverable will report about the first release of the DEDALUS Digital Twins and data-driven services for residential DR, corresponding to the first technical release MS4.Success criteria: Availability of first version of the Digital Twins and the data-driven services. (T4.1, T4.2, T4.3, T4.4, T4.5)

DEDALUS Communication Kit

This document will summarise the Communication material including social media channels, project leaflet, posterand presentation video, as well as the project website to support the project dissemination.Success Criteria: The availability of the DEDALUS website, as well as the accompanying document describing the website structure and summarising communication material. (T7.2)

Publications

Peer reviewed articles (20)

Demand response optimization for smart grid integrated buildings: Review of technology enablers landscape and innovation challenges

Auteurs: Liana Toderean, Tudor Cioara, Ionut Anghel, Elissaios Sarmas, Vasilis Michalakopoulos, Vangelis Marinakis
Publié dans: Energy and Buildings, Numéro 326, 2024, ISSN 1872-6178
Éditeur: Elsevier BV
DOI: 10.1016/j.enbuild.2024.115067

Electric vehicles coordination for grid balancing using multi-objective Harris Hawks Optimization

Auteurs: Cristina Bianca Pop; Tudor Cioara; Viorica R. Chifu; Ionut Anghel; Francesco Bellesini
Publié dans: Energy Reports, 2024, ISSN 2352-4847
Éditeur: Elsevier
DOI: 10.2139/SSRN.4712072

Review of Blockchain Tokens Creation and Valuation

Auteurs: Oana Marin; Tudor Cioara; Liana Toderean; Dan Mitrea; Ionut Anghel
Publié dans: Future Internet, Vol 15, Iss 12, p 382 (2023), 2023, ISSN 1999-5903
Éditeur: MDPI
DOI: 10.3390/fi15120382

A data-driven framework for estimating residential energy flexibility for aggregated demand-side management

Auteurs: Ioannis Papias, Vasilis Michalakopoulos, Elissaios Sarmas, Vangelis Marinakis, Gabriel Antonesi, Tudor Cioara, Ionut Anghel
Publié dans: Sustainable Energy, Grids and Networks, Numéro 43, 2025, ISSN 2352-4677
Éditeur: Elsevier BV
DOI: 10.1016/J.SEGAN.2025.101783

Applied Energy

Auteurs: Gabriel Antonesi; Tudor Cioara; Ionut Anghel; Vasilis Michalakopoulos; Elissaios Sarmas; Liana Toderean
Publié dans: Applied Energy, 2025, ISSN 0306-2619
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/J.APENERGY.2025.126670

Evolutionary game for incentivizing social cooperation of prosumers in transactive energy communities

Auteurs: Dan Mitrea, Tudor Cioara, Ionut Anghel, Liana Toderean
Publié dans: Energy and Buildings, Numéro 327, 2024, ISSN 0378-7788
Éditeur: Elsevier BV
DOI: 10.1016/j.enbuild.2024.115057

A Machine Learning Pipeline to Forecast the Electricity and Heat Consumption in a City District

Auteurs: Gabriel Antonesi; Tudor Cioara; Liana Toderean; Ionut Anghel; Chaim De Mulder
Publié dans: Buildings, Vol 13, Iss 6, p 1407 (2023), 2023, ISSN 2075-5309
Éditeur: MDPI
DOI: 10.3390/buildings13061407

FedWOA: A Federated Learning Model that uses the Whale Optimization Algorithm for Renewable Energy Prediction

Auteurs: Viorica R. Chifu; Tudor Cioara; Cristian Anitiei; Cristina Pop 0001; Ionut Anghel
Publié dans: Computers and Electrical Engineering, Numéro 123, 2025, ISSN 1879-0755
Éditeur: Elsevier
DOI: 10.1016/J.COMPELECENG.2025.110259

Meta-heuristic federated learning aggregation methods for load forecasting

Auteurs: Efstathios Sarantinopoulos, Vasilis Michalakopoulos, Elissaios Sarmas, Vangelis Marinakis, Liana Toderean, Tudor Cioara
Publié dans: Energy and AI, Numéro 22, 2025, ISSN 2666-5468
Éditeur: Elsevier BV
DOI: 10.1016/J.EGYAI.2025.100594

Sensors

Auteurs: Dan Mitrea; Tudor Cioara; Ionut Anghel
Publié dans: Sensors, 2023, ISSN 1424-8220
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/S23104640

Social Factors in P2P Energy Trading Using Hedonic Games

Auteurs: Dan Mitrea, Viorica Chifu, Tudor Cioara, Ionut Anghel, Cristina Pop
Publié dans: Arxiv, 2023, ISSN 2331-8422
Éditeur: Arxiv
DOI: 10.48550/arXiv.2309.01418

Whale Optimization-Based Clustering for Buildings’ Energy Consumption Profiles

Auteurs: Viorica Rozina Chifu; Tudor Cioara; Ionela Danci; Cristina Bianca Pop; Ionut Anghel
Publié dans: Energy Reports, 2025, ISSN 2352-4847
Éditeur: Elsevier
DOI: 10.1016/J.EGYR.2025.07.034

IEEE Access

Auteurs: Liana Toderean; Viorica Rozina Chifu; Tudor Cioara; Ionut Anghel; Cristina Bianca Pop
Publié dans: IEEE Access, 2023, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/ACCESS.2023.3296258

Demand response optimization for smart grid integrated buildings: Review of technology enablers landscape and innovation challenges

Auteurs: Toderean, Liana; Cioara, Tudor; Anghel, Ionut; Sarmas, Elissaios; Michalakopoulos, Vasilis; Marinakis, Vangelis
Publié dans: Energy and Buildings, 2025, ISSN 1872-6178
Éditeur: Elsevier
DOI: 10.1016/J.ENBUILD.2024.115067

Hybrid transformer model with liquid neural networks and learnable encodings for buildings’ energy forecasting

Auteurs: Gabriel Antonesi, Tudor Cioara, Ionut Anghel, Ioannis Papias, Vasilis Michalakopoulos, Elissaios Sarmas
Publié dans: Energy and AI, Numéro 20, 2025, ISSN 2666-5468
Éditeur: Elsevier BV
DOI: 10.1016/J.EGYAI.2025.100489

Blockchain Solution for Buildings’ Multi-Energy Flexibility Trading Using Multi-Token Standards

Auteurs: Oana Marin, Tudor Cioara, Ionut Anghel
Publié dans: Future Internet, Numéro 15, 2023, ISSN 1999-5903
Éditeur: MDPI AG
DOI: 10.3390/fi15050177

IEEE Access

Auteurs: Dan Mitrea; Viorica Rozina Chifu; Tudor Cioara; Ionut Anghel; Cristina Bianca Pop
Publié dans: IEEE Access, 2024, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.48550/ARXIV.2309.01418

Evolutionary game for incentivizing social cooperation of prosumers in transactive energy communities

Auteurs: Mitrea, Dan; Cioara, Tudor; Anghel, Ionut; Toderean, Liana
Publié dans: Energy and Buildings, 2024, ISSN 1872-6178
Éditeur: Elsevier
DOI: 10.2139/SSRN.4920732

Scientific Reports

Auteurs: Toderean, Liana; Daian, Mihai; Cioara, Tudor; Anghel, Ionut; Michalakopoulos, Vasilis; Sarantinopoulos, Efstathios; Sarmas, Elissaios
Publié dans: Scientific Reports, 2025, ISSN 2045-2322
Éditeur: Nature Publishing Group
DOI: 10.1038/S41598-025-96443-3

Blockchain Solution for Buildings’ Multi-Energy Flexibility Trading Using Multi-Token Standards

Auteurs: Oana Marin; Tudor Cioara; Ionut Anghel
Publié dans: Future Internet, 2023, ISSN 1999-5903
Éditeur: MDPI
DOI: 10.3390/FI15050177

Conference proceedings (5)

An Energy Consumption Forecasting Tool for Buildings Based on Multivariate Deep Neural Network Model

Auteurs: Gabriel Antonesi, Tudor Cioara, Ionut Anghel, Ioan Salomie, Massimo Bertoncini
Publié dans: 2024 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv), 2024
Éditeur: IEEE
DOI: 10.1109/METROLIVENV60384.2024.10615728

Matching Mechanisms for Buildings Energy Flexibility Orders in P2P Local Markets

Auteurs: Dan Mitrea, Liana Toderean, Tudor Cioara, Viorica Chifu, Ioan Salomie, Ionut Anghel, Massimo Bertoncini, Vincenzo Croce
Publié dans: 2023 14th International Conference on Information, Intelligence, Systems & Applications (IISA), 2023
Éditeur: IEEE
DOI: 10.1109/IISA59645.2023.10345897

Methodological Approach for Optimizing Demand Response in Building Energy Management through AI-Enhanced Comfort-Based Flexibility Models

Auteurs: Riccardo Naccarelli, Serena Serroni, Sara Casaccia, Gian Marco Revel, Susana Gutiérrez, Diego Arnone
Publié dans: 2024 9th International Conference on Smart and Sustainable Technologies (SpliTech), 2024
Éditeur: IEEE
DOI: 10.23919/SpliTech61897.2024.10612382

Quantum Enhanced Energy Blockchain for Peer-to-Peer Trading

Auteurs: Liana Toderean, Mihai Petre Daian, Tudor Cioara, Alin Suciu, Ionut Anghel, Vasilis Michalakopoulos, Elissaios Sarmas
Publié dans: 2025 16th International Conference on Information, Intelligence, Systems & Applications (IISA), 2025
Éditeur: IEEE
DOI: 10.1109/IISA66859.2025.11311303

Optimizing Appliances Usage for Apartment Buildings Participation in Demand Response Programs

Auteurs: Cristina Bianca Pop, Zoltan Varga, Viorica Chifu, Tudor Cioara, Ionut Anghel
Publié dans: 2025 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv), 2025
Éditeur: IEEE
DOI: 10.1109/METROLIVENV64961.2025.11106961