Building Information aGGregation, harmonization and analytics platform

Informacje na temat projektu

BIGG

Identyfikator umowy o grant: 957047

DOI

10.3030/957047

Projekt został zamknięty

Data podpisania przez KE 11 Września 2020

Data rozpoczęcia 1 Grudnia 2020

Data zakończenia 30 Listopada 2023

Finansowanie w ramach

• SOCIETAL CHALLENGES - Secure, clean and efficient energy

Koszt całkowity

€ 4 877 914,82

Wkład UE

€ 3 992 377,50

Koordynowany przez

INETUM REALDOLMEN BELGIUM
Belgium

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

Documents, reports (9)

2nd report on dissemination, communication and clustering activities and results
Final technical specifications and description of the integrated BIGG solution
Detailed description of Use cases and end-user services

Detailed description of Use cases and enduser services

Initial technical specifications and preliminary design of BIGG Architecture building blocks and APIs
Update of contributions to standardization actions and preliminary Market2Go strategy including BIGG impact
1st report on dissemination, communication and clustering activities and results

1st report on dissemination communication and clustering activities and results

Final contributions to standardization actions and final Market2Go strategy including BIGG impact
Dissemination and communication actions plans and target KPIs
Initial contributions to standardization actions and market analysis

Demonstrators, pilots, prototypes (8)

Description of the final harmonization layer
Description of the final AI toolbox
Description of the preliminary AI toolbox
Description of the final end-user communication and security layers
First evaluation of the BIGG pilots results on use cases
Final evaluation of the BIGG pilots results on use cases
Description of the preliminary end-user communication and security layers
Description of the preliminary harmonization layer

Open Research Data Pilot (1)

Public BIGG Data

Websites, patent fillings, videos etc. (1)

Marketing material and website

Other (1)

Collaborative Working Environment and its maintenance

Publikacje

Book chapters (1)

A data-driven method for unsupervised electricity consumption characterisation at the district level and beyond

Autorzy: Gerard Mor, Jordi Cipriano Giacomo Martirano, Francesco Pignatelli, Chiara Lodi, Florencia Lazzari, Benedetto Grillone, DanielChemisana
Opublikowane w: Energy Reports, Volume 7, November 2021, 2021, Strona(/y) Pages 5667-5684
Wydawca: Elsevier

Conference proceedings (3)

Harmonizing Input Data for Digital Building Twin: Energy Efficiency Use Case

Autorzy: Audrey Bouet, Nicolas Bus, Stoyan Danov, Eloi Gabaldon, Edgar Martinez-Sarmiento, Nicolas Pastorelly, Guillaume Picinbono
Opublikowane w: Computing in Construction, Proceedings of the 2024 European Conference on Computing in Construction, Numer 5, 2024
Wydawca: European Council for Computing in Construction
DOI: 10.35490/ec3.2024.274

Real-World Implementation of Reinforcement Learning Based Energy Coordination for a Cluster of Households

Autorzy: Gargya Gokhale, Niels Tiben, Marie-Sophie Verwee, Manu Lahariya, Bert Claessens, Chris Develder
Opublikowane w: Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 2024, Strona(/y) 347-351
Wydawca: ACM
DOI: 10.1145/3600100.3625681

Physics-informed Recurrent Neural Networks for the identification of a generic energy buffer system

Autorzy: Manu Lahariya, Farzaneh Karami, Chris Develder, Guillaume Crevecoeur
Opublikowane w: 10th IEEE Data-Driven Control and Learn. Sys. Conf. (DDCLS 2021), 2021
Wydawca: IEEE
DOI: 10.1109/ddcls52934.2021.9455657

Peer reviewed articles (5)

Physics-Informed LSTM Network for Flexibility Identification in Evaporative Cooling System

Autorzy: Manu Lahariya, Farzaneh Karami, Chris Develder, Guillaume Crevecoeur
Opublikowane w: IEEE Transactions on Industrial Informatics, Numer 19, 2023, Strona(/y) 1484-1494, ISSN 1551-3203
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tii.2022.3173897

A novel system for providing explicit demand response from domestic natural gas boilers

Autorzy: Georgios I. Tsoumalis, Zafeirios N. Bampos, Pandelis N. Biskas, Stratos D. Keranidis, Polychronis A. Symeonidis, Dimitrios K. Voulgarakis
Opublikowane w: Applied Energy, Numer 317, 2023, Strona(/y) 119038, ISSN 0306-2619
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.apenergy.2022.119038

Linked Data Generation Methodology and the Geospatial Cross-Sectional Buildings Energy Benchmarking Use Case

Autorzy: Edgar A. Martínez-Sarmiento, Jose Manuel Broto, Eloi Gabaldon, Jordi Cipriano, Roberto García, Stoyan Danov
Opublikowane w: Energies, Numer 17, 2024, Strona(/y) 3006, ISSN 1996-1073
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/en17123006

Physics informed neural networks for control oriented thermal modeling of buildings

Autorzy: Gargya Gokhale, Bert Claessens, Chris Develder
Opublikowane w: Applied Energy, Numer 314, 2023, Strona(/y) 118852, ISSN 0306-2619
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.apenergy.2022.118852

Dynamic horizon selection methodology for model predictive control in buildings

Autorzy: Gerard Laguna, Gerard Mor, Florencia Lazzari, Eloi Gabaldon, Arash Erfani, Dirk Saelens, Jordi Cipriano
Opublikowane w: Energy Reports, Numer 8, 2024, Strona(/y) 10193-10202, ISSN 2352-4847
Wydawca: Elsevier
DOI: 10.1016/j.egyr.2022.08.015