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

Informazioni relative al progetto

DEDALUS

ID dell’accordo di sovvenzione: 101103998

DOI

10.3030/101103998

Progetto chiuso

Data della firma CE 26 Aprile 2023

Data di avvio 1 Maggio 2023

Data di completamento 30 Aprile 2026

Finanziato da

• Climate, Energy and Mobility

Costo totale

€ 7 359 075,00

Contributo UE

€ 5 999 801,25

Coordinato da

ENGINEERING - INGEGNERIA INFORMATICA SPA
Italy

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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)

Pubblicazioni

Peer reviewed articles (20)

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

Autori: Liana Toderean, Tudor Cioara, Ionut Anghel, Elissaios Sarmas, Vasilis Michalakopoulos, Vangelis Marinakis
Pubblicato in: Energy and Buildings, Numero 326, 2024, ISSN 1872-6178
Editore: Elsevier BV
DOI: 10.1016/j.enbuild.2024.115067

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

Autori: Cristina Bianca Pop; Tudor Cioara; Viorica R. Chifu; Ionut Anghel; Francesco Bellesini
Pubblicato in: Energy Reports, 2024, ISSN 2352-4847
Editore: Elsevier
DOI: 10.2139/SSRN.4712072

Review of Blockchain Tokens Creation and Valuation

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

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

Autori: Ioannis Papias, Vasilis Michalakopoulos, Elissaios Sarmas, Vangelis Marinakis, Gabriel Antonesi, Tudor Cioara, Ionut Anghel
Pubblicato in: Sustainable Energy, Grids and Networks, Numero 43, 2025, ISSN 2352-4677
Editore: Elsevier BV
DOI: 10.1016/J.SEGAN.2025.101783

Applied Energy

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

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

Autori: Dan Mitrea, Tudor Cioara, Ionut Anghel, Liana Toderean
Pubblicato in: Energy and Buildings, Numero 327, 2024, ISSN 0378-7788
Editore: Elsevier BV
DOI: 10.1016/j.enbuild.2024.115057

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

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

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

Autori: Viorica R. Chifu; Tudor Cioara; Cristian Anitiei; Cristina Pop 0001; Ionut Anghel
Pubblicato in: Computers and Electrical Engineering, Numero 123, 2025, ISSN 1879-0755
Editore: Elsevier
DOI: 10.1016/J.COMPELECENG.2025.110259

Meta-heuristic federated learning aggregation methods for load forecasting

Autori: Efstathios Sarantinopoulos, Vasilis Michalakopoulos, Elissaios Sarmas, Vangelis Marinakis, Liana Toderean, Tudor Cioara
Pubblicato in: Energy and AI, Numero 22, 2025, ISSN 2666-5468
Editore: Elsevier BV
DOI: 10.1016/J.EGYAI.2025.100594

Sensors

Autori: Dan Mitrea; Tudor Cioara; Ionut Anghel
Pubblicato in: Sensors, 2023, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/S23104640

Social Factors in P2P Energy Trading Using Hedonic Games

Autori: Dan Mitrea, Viorica Chifu, Tudor Cioara, Ionut Anghel, Cristina Pop
Pubblicato in: Arxiv, 2023, ISSN 2331-8422
Editore: Arxiv
DOI: 10.48550/arXiv.2309.01418

Whale Optimization-Based Clustering for Buildings’ Energy Consumption Profiles

Autori: Viorica Rozina Chifu; Tudor Cioara; Ionela Danci; Cristina Bianca Pop; Ionut Anghel
Pubblicato in: Energy Reports, 2025, ISSN 2352-4847
Editore: Elsevier
DOI: 10.1016/J.EGYR.2025.07.034

IEEE Access

Autori: Liana Toderean; Viorica Rozina Chifu; Tudor Cioara; Ionut Anghel; Cristina Bianca Pop
Pubblicato in: IEEE Access, 2023, ISSN 2169-3536
Editore: 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

Autori: Toderean, Liana; Cioara, Tudor; Anghel, Ionut; Sarmas, Elissaios; Michalakopoulos, Vasilis; Marinakis, Vangelis
Pubblicato in: Energy and Buildings, 2025, ISSN 1872-6178
Editore: Elsevier
DOI: 10.1016/J.ENBUILD.2024.115067

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

Autori: Gabriel Antonesi, Tudor Cioara, Ionut Anghel, Ioannis Papias, Vasilis Michalakopoulos, Elissaios Sarmas
Pubblicato in: Energy and AI, Numero 20, 2025, ISSN 2666-5468
Editore: Elsevier BV
DOI: 10.1016/J.EGYAI.2025.100489

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

Autori: Oana Marin, Tudor Cioara, Ionut Anghel
Pubblicato in: Future Internet, Numero 15, 2023, ISSN 1999-5903
Editore: MDPI AG
DOI: 10.3390/fi15050177

IEEE Access

Autori: Dan Mitrea; Viorica Rozina Chifu; Tudor Cioara; Ionut Anghel; Cristina Bianca Pop
Pubblicato in: IEEE Access, 2024, ISSN 2169-3536
Editore: 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

Autori: Mitrea, Dan; Cioara, Tudor; Anghel, Ionut; Toderean, Liana
Pubblicato in: Energy and Buildings, 2024, ISSN 1872-6178
Editore: Elsevier
DOI: 10.2139/SSRN.4920732

Scientific Reports

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

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

Autori: Oana Marin; Tudor Cioara; Ionut Anghel
Pubblicato in: Future Internet, 2023, ISSN 1999-5903
Editore: MDPI
DOI: 10.3390/FI15050177

Conference proceedings (5)

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

Autori: Gabriel Antonesi, Tudor Cioara, Ionut Anghel, Ioan Salomie, Massimo Bertoncini
Pubblicato in: 2024 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv), 2024
Editore: IEEE
DOI: 10.1109/METROLIVENV60384.2024.10615728

Matching Mechanisms for Buildings Energy Flexibility Orders in P2P Local Markets

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

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

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

Quantum Enhanced Energy Blockchain for Peer-to-Peer Trading

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

Optimizing Appliances Usage for Apartment Buildings Participation in Demand Response Programs

Autori: Cristina Bianca Pop, Zoltan Varga, Viorica Chifu, Tudor Cioara, Ionut Anghel
Pubblicato in: 2025 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv), 2025
Editore: IEEE
DOI: 10.1109/METROLIVENV64961.2025.11106961