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

Projektinformationen

ZEBAI

ID Finanzhilfevereinbarung: 101138678

DOI

10.3030/101138678

EK-Unterschriftsdatum 14 Dezember 2023

Startdatum 1 Januar 2024

Enddatum 31 Dezember 2028

Finanziert unter

• Climate, Energy and Mobility

Gesamtkosten

€ 4 355 763,85

EU-Beitrag

€ 3 879 168,25

Koordiniert durch

UNIVERSIDAD POLITECNICA DE MADRID
Spain

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

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.

Veröffentlichungen

Peer reviewed articles (11)

Scientific Reports

Autoren: Ivan Izonin; Illia Nesterenko; Athanasia K. Kazantzi; Roman Tkachenko; Roman Muzyka; Stergios Aristoteles Mitoulis
Veröffentlicht in: Scientific Reports, Ausgabe 14, 2024, ISSN 2045-2322
Herausgeber: Nature Publishing Group
DOI: 10.1038/S41598-024-73738-5

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

Autoren: Ivan Izonin, Roman Tkachenko, Rosana Caro, Antonio LaTorre de la Fuente, Kyrylo Yemets, Stergios Aristoteles Mitoulis
Veröffentlicht in: Procedia Computer Science, Ausgabe 251, 2025, ISSN 1877-0509
Herausgeber: 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

Autoren: Kyrylo Yemets, Ivan Izonin, Ivanna Dronyuk
Veröffentlicht in: Big Data and Cognitive Computing, Ausgabe 9, 2025, ISSN 2504-2289
Herausgeber: MDPI AG
DOI: 10.3390/bdcc9020035

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

Autoren: Kyrylo Yemets, Ivan Izonin, Ivanna Dronyuk
Veröffentlicht in: Sensors, Ausgabe 25, 2025, ISSN 1424-8220
Herausgeber: MDPI AG
DOI: 10.3390/s25030652

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

Autoren: Chirag Ganguli, Shishir Kumar Shandilya, Ivan Izonin, Lesia Hentosh
Veröffentlicht in: Scientific Reports, Ausgabe 15, 2025, ISSN 2045-2322
Herausgeber: Springer Science and Business Media LLC
DOI: 10.1038/S41598-025-26058-1

High-Fidelity Synthetic Data Generation Framework for Unique Objects Detection

Autoren: Shakhovska, Natalya; Sydor, Bohdan; Liaskovska, Solomiya; Duran, Olga; Martyn, Yevgen; Віра, Володимир
Veröffentlicht in: computation, Ausgabe 13, 2025, ISSN 2079-3197
Herausgeber: MDPI
DOI: 10.3390/COMPUTATION13050120

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

Autoren: Solomiia Liaskovska, Sviatoslav Tyskyi, Yevgen Martyn, Andy T. Augousti, Volodymyr Kulyk
Veröffentlicht in: Technologies, Ausgabe 13, 2025, ISSN 2227-7080
Herausgeber: MDPI AG
DOI: 10.3390/technologies13020084

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

Autoren: Tetiana Hovorushchenko; Ivan Izonin; Hakan Kutucu
Veröffentlicht in: Systems, Ausgabe 12, 2024, ISSN 2079-8954
Herausgeber: MDPI
DOI: 10.3390/SYSTEMS12020058

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

Autoren: Kyrylo Yemets, Ivan Izonin, Stergios Aristoteles Mitoulis
Veröffentlicht in: Scientific Reports, Ausgabe 15, 2025, ISSN 2045-2322
Herausgeber: Springer Science and Business Media LLC
DOI: 10.1038/S41598-025-26685-8

Scientific Reports

Autoren: Ivan Izonin, Illia Nesterenko, Athanasia K. Kazantzi, Roman Tkachenko, Roman Muzyka, Stergios Aristoteles Mitoulis
Veröffentlicht in: Scientific Reports, Ausgabe 14, 2024, ISSN 2045-2322
Herausgeber: Nature Publishing Group
DOI: 10.1038/S41598-024-73738-5

Multi-Step Dynamic Ensemble Selection to Estimate Software Effort

Autoren: Akshay Jadhav; Shishir Kumar Shandilya; Ivan Izonin; Roman Muzyka
Veröffentlicht in: Applied Artificial Intelligence, Ausgabe 38, 2024, ISSN 1087-6545
Herausgeber: Taylor & Francis
DOI: 10.1080/08839514.2024.2351718

Other (2)

Quality and Security of Critical Infrastructure Systems

Autoren: Ivan Izonin, Tetiana Hovorushchenko, Shishir Kumar Shandilya
Veröffentlicht in: Big Data and Cognitive Computing, Ausgabe 8, 2024, ISSN 2504-2289
Herausgeber: MDPI
DOI: 10.3390/BDCC8010010

Quality and Security of Critical Infrastructure Systems

Autoren: Ivan Izonin; Tetiana Hovorushchenko; Shishir Kumar Shandilya
Veröffentlicht in: Big Data and Cognitive Computing, Ausgabe 8, 2024, ISSN 2504-2289
Herausgeber: MDPI
DOI: 10.3390/BDCC8010010