Innovative methodologies for the design of Zero-Emission and cost-effective Buildings enhanced by Artificial Intelligence

Project Information

ZEBAI

Grant agreement ID: 101138678

DOI

10.3030/101138678

EC signature date 14 December 2023

Start date 1 January 2024

End date 31 December 2028

Funded under

• Climate, Energy and Mobility

Total cost

€ 4 355 763,85

EU contribution

€ 3 879 168,25

Coordinated by

UNIVERSIDAD POLITECNICA DE MADRID
Spain

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

Documents, reports (4)

Report on existing European material catalogues for construction

This report will compile the different catalogues that contain information on performance, sustainability aspects and/or cost of mature construction materials selected from a complete survey at a European level. An analysis of the structure of the catalogues, their access requirements and the commonalities and differences between them will be included.

Report on the methods and models for the simulation error minimisation

We will review and analyse the existing methods and models for the simulation error minimization and corresponding tools for it. We will prepare a report based on the results obtained. This will help determine the direction of execution (D5.5)

Methodology Design Handbook [MDH]

In this document, the best strategy to ambitiously tackle the ZEB optimization problem will be formulated in order to guarantee the quality and robustness of the IA proposed solutions. A detailed description on inputs/outputs, constraints, quality functions and freedom degree of the solution space will be presented.

ZEBAI Methodology Handbook [ZMH]

The methodology handbook proposes new design methodologies and related design processes that have been used for the design of zero-emission and cost-effective buildings.

Data Management Plan (1)

Data Management Plan [DMP]

This document describes the DM life cycle for the data to be collected, stored, processed, shared, and/or generated. It includes information on the data's format, collection methodology, storage, backup, sharing and access, analysis and processing, ethics and legal considerations, and roles and responsibilities of the individuals involved. This deliverable will be in effect throughout the project. An initial release will be provided in month 6, but updates will be delivered in month 30 and 60.

Data sets, microdata, etc (1)

Retrospective cases dataset (BIM building models and sensor datasets)

We will collect a dataset of retrospective cases of monitored buildings already existing and their corresponding digital models for simulation.

Publications

Peer reviewed articles (11)

Scientific Reports

Author(s): Ivan Izonin; Illia Nesterenko; Athanasia K. Kazantzi; Roman Tkachenko; Roman Muzyka; Stergios Aristoteles Mitoulis
Published in: Scientific Reports, Issue 14, 2024, ISSN 2045-2322
Publisher: Nature Publishing Group
DOI: 10.1038/S41598-024-73738-5

Regression-based Model for Predicting Simulated vs Actual Building Performance Discrepancies

Author(s): Ivan Izonin, Roman Tkachenko, Rosana Caro, Antonio LaTorre de la Fuente, Kyrylo Yemets, Stergios Aristoteles Mitoulis
Published in: Procedia Computer Science, Issue 251, 2025, ISSN 1877-0509
Publisher: Elsevier BV
DOI: 10.1016/j.procs.2024.11.161

Enhancing the FFT-LSTM Time-Series Forecasting Model via a Novel FFT-Based Feature Extraction–Extension Scheme

Author(s): Kyrylo Yemets, Ivan Izonin, Ivanna Dronyuk
Published in: Big Data and Cognitive Computing, Issue 9, 2025, ISSN 2504-2289
Publisher: MDPI AG
DOI: 10.3390/bdcc9020035

Time Series Forecasting Model Based on the Adapted Transformer Neural Network and FFT-Based Features Extraction

Author(s): Kyrylo Yemets, Ivan Izonin, Ivanna Dronyuk
Published in: Sensors, Issue 25, 2025, ISSN 1424-8220
Publisher: MDPI AG
DOI: 10.3390/s25030652

Nature-inspired swarm optimization paradigms for securing semantic web frameworks against DDoS attacks: a computational approach

Author(s): Chirag Ganguli, Shishir Kumar Shandilya, Ivan Izonin, Lesia Hentosh
Published in: Scientific Reports, Issue 15, 2025, ISSN 2045-2322
Publisher: Springer Science and Business Media LLC
DOI: 10.1038/S41598-025-26058-1

High-Fidelity Synthetic Data Generation Framework for Unique Objects Detection

Author(s): Shakhovska, Natalya; Sydor, Bohdan; Liaskovska, Solomiya; Duran, Olga; Martyn, Yevgen; Віра, Володимир
Published in: computation, Issue 13, 2025, ISSN 2079-3197
Publisher: MDPI
DOI: 10.3390/COMPUTATION13050120

Systematic Generation and Evaluation of Synthetic Production Data for Industry 5.0 Optimization

Author(s): Solomiia Liaskovska, Sviatoslav Tyskyi, Yevgen Martyn, Andy T. Augousti, Volodymyr Kulyk
Published in: Technologies, Issue 13, 2025, ISSN 2227-7080
Publisher: MDPI AG
DOI: 10.3390/technologies13020084

Advancements in AI-Based Information Technologies: Solutions for Quality and Security

Author(s): Tetiana Hovorushchenko; Ivan Izonin; Hakan Kutucu
Published in: Systems, Issue 12, 2024, ISSN 2079-8954
Publisher: MDPI
DOI: 10.3390/SYSTEMS12020058

Multi-family wavelet-based feature engineering method for short-term time series forecasting

Author(s): Kyrylo Yemets, Ivan Izonin, Stergios Aristoteles Mitoulis
Published in: Scientific Reports, Issue 15, 2025, ISSN 2045-2322
Publisher: Springer Science and Business Media LLC
DOI: 10.1038/S41598-025-26685-8

Scientific Reports

Author(s): Ivan Izonin, Illia Nesterenko, Athanasia K. Kazantzi, Roman Tkachenko, Roman Muzyka, Stergios Aristoteles Mitoulis
Published in: Scientific Reports, Issue 14, 2024, ISSN 2045-2322
Publisher: Nature Publishing Group
DOI: 10.1038/S41598-024-73738-5

Multi-Step Dynamic Ensemble Selection to Estimate Software Effort

Author(s): Akshay Jadhav; Shishir Kumar Shandilya; Ivan Izonin; Roman Muzyka
Published in: Applied Artificial Intelligence, Issue 38, 2024, ISSN 1087-6545
Publisher: Taylor & Francis
DOI: 10.1080/08839514.2024.2351718

Other (2)

Quality and Security of Critical Infrastructure Systems

Author(s): Ivan Izonin, Tetiana Hovorushchenko, Shishir Kumar Shandilya
Published in: Big Data and Cognitive Computing, Issue 8, 2024, ISSN 2504-2289
Publisher: MDPI
DOI: 10.3390/BDCC8010010

Quality and Security of Critical Infrastructure Systems

Author(s): Ivan Izonin; Tetiana Hovorushchenko; Shishir Kumar Shandilya
Published in: Big Data and Cognitive Computing, Issue 8, 2024, ISSN 2504-2289
Publisher: MDPI
DOI: 10.3390/BDCC8010010