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Modular Big Data Applications for Holistic Energy Services in Buildings

Risultati finali

MATRYCS-ANALYTICS and Open Cloud-based Data Analytics Toolbox (1st technology release)

This deliverable will implement the first version of the MATRYCS Analytics Toolbox providing a virtual workbench at PaaS level to external stakeholders and an open data analytics toolbox

MATRYCS-GOVERNANCE (1st technology release)

This deliverable will implement the first version for the Data Services Semantic Enrichment Layer MATRYCSGOVERNANCE of the MATRYCS highlevel architecture

MATRYCS-PROCESSING ( final technology release)

This deliverable will implement the final version of the Big Data Management AI Services Layer MATRYCSPROCESSING of the highlevel MATRYCS architecture

MATRYCS Analytics Building Services V1.0

This deliverable will implement the first version of the MATRYCS analytics building services to end users

MATRYCS-ANALYTICS and Open Cloud-based Data Analytics Toolbox (final technology release)

This deliverable will implement the final version of the MATRYCS Analytics Toolbox providing a virtual workbench at PaaS level to external stakeholders and an open data analytics toolbox

MATRYCS-GOVERNANCE (final technology release)

This deliverable will implement the final version for the Data Services Semantic Enrichment Layer MATRYCSGOVERNANCE of the MATRYCS highlevel architecture

MATRYCS-ANALYTICS and Open Cloud-based Data Analytics Toolbox (2nd technology release)

This deliverable will implement the second version of the MATRYCS Analytics Toolbox providing a virtual workbench at PaaS level to external stakeholders and an open data analytics toolbox

MATRYCS Analytics Building Services V2.0

This deliverable will implement the second version of the MATRYCS analytics building services to end users

MATRYCS Analytics Building Services Final Version

This deliverable will implement the final version of the MATRYCS analytics building services to end users

MATRYCS-GOVERNANCE (2nd technology release)

This deliverable will implement the second version for the Data Services & Semantic Enrichment Layer (MATRYCS-GOVERNANCE) of the MATRYCS high-level architecture.

MATRYCS-PROCESSING (2nd technology release)

This deliverable will implement the second version of the Big Data Management AI Services Layer MATRYCSPROCESSING of the highlevel MATRYCS architecture

MATRYCS-PROCESSING (1st technology release)

Management AI Services Layer MATRYCSPROCESSING of the highlevel MATRYCS architecture

MATRYCS Technical and Security Specification

This deliverable will provide technical ans security specification of the Big Data Value Chain functionalities of the MATRYCS framework

Promotional and Informational Material

This deliverable will deal with the graphical and textual design of promotional and informational material

LSP 3 evaluation results: ESCO SUPPORT SERVICES: Energy Saving Verification Service for increasing the trust on Energy Performance Contracts

This deliverable will be aimed to report main outcomes from LSP3 belonging to the MATRYCS FUND pilots category

LSP 8 evaluation results: ONE-STOP-SHOPS: Enablers of the financing of refurbishment actions in the building stock at local level

This deliverable will be aimed to report main outcomes from LSP8 belonging to the MATRYCS FUND pilots category

LSP 7 evaluation results: SECAPS: Services to support SECAPs impact assessment, implementation and monitoring

This deliverable will be aimed to report main outcomes from LSP7 belonging to the MATRYCS POLICY pilots category

EU Policy Recommendations for Building Data

This deliverable will include the policy recommendations with a clear focus on adapting and customising the MATRYCS concept and approach while considering EU and national needs as well as legislative regulatory and institutional conditions for the building sector and the energy market

Multi-stakeholders events, Replication Workshops and Standardisation Activities

This deliverable will report Multistakeholders events Replication Workshops and Standardisation Activities

Report on the Common Activities for the Building Stock Data

This deliverable will deal with the Common and synchronized activities for the Building Stock Data

MATRYCS Reference Architecture for Buildings Data (final version)

This deliverable will define and deliver the final version for an open Reference Architecture for Buildings Data aiming to ensure compatibility with existing dataset formats across Europe while allowing integration with legacy architectures

LSP 11 evaluation results: POLICY MAKING AND IMPACT ASSESSMENT: Data-driven policy making and policy impact assessment for energy-efficient buildings

This deliverable will be aimed to report main outcomes from LSP11 belonging to the MATRYCS POLICY pilots category

Community Building Activities Report

This deliverable will report on the the outcomes of the community building activies with a view to support the BDA Alliance setup and postproject uptake

LSP 1 evaluation results: BUILDING OPERATION [FM]: Facility and Resources Fingerprinting for Efficiency and Optimal Balancing of Energy Vectors

s deliverable will be aimed to report main outcomes from LSP1 belonging to the MATRYCS PERFORMANCE pilots category

LSP 5 evaluation results: ENERGY COMMUNITIES: Services for the better management of self-production systems

This deliverable will be aimed to report main outcomes from LSP5 belonging to the MATRYCS PERFORMANCE pilots category

LSP 10 evaluation results: DE-RISKING EE INVESTMENTS: Services to support reliable, cost-effective and better quality Energy Performance Contracts and Investments

This deliverable will be aimed to report main outcomes from LSP10 belonging to the MATRYCS FUND pilots category

Report on Pilot's Integration and Validation (cycle 3)

This deliverable will be in charge for an overall assessment and evaluation of the MATRYCS impact at the end of the project and will leverage on the outcomes of the LSPs D63D613 internal deliveries at M36

Pilot Operation, Preparation, Engagement and M&V Plan

This deliverable willl describe the steps and procedures for deployment validation of the MATRYCS tools and services in the reallife pilot operation demonstrators as well as pilots detailed specification

LSP 4 evaluation results: SMART BUILDING AS ACTIVE NODE OF A SMART GRID: Smart building comfort-aware predictive energy management and coordination with smart grids and local RES generation

This deliverable will be aimed to report main outcomes from LSP4 belonging to the MATRYCS PERFORMANCE pilots category

LSP 6 evaluation results: DISTRICT HEATING NETWORK: Energy Demand Prediction to design, develop and optimize district heating networks operation

This deliverable will be aimed to report main outcomes from LSP6 belonging to the MATRYCS PERFORMANCE and MATRYCS DESIGN pilots categories

LSP 9 evaluation results: ENERGY PERFORMANCE CERTIFICATES: Next generation energy performance assessment and certification

This deliverable will be aimed to report main outcomes from LSP9 belonging to the MATRYCS POLICY pilots category

MATRYCS Reference Architecture for Buildings Data v1.0)

This deliverable will define and deliver the first version for an open Reference Architecture for Buildings Data aiming to ensure compatibility with existing dataset formats across Europe while allowing integration with legacy architectures

Report of the MATRYCS BDA

This deliverable reports the activities related to the MATRYCS BDA setup operation and management including the reporting activitiesof the BDA Workshops

State-of-the-art analysis and Big Data Value Chain

This deliverable will provide an extensive review of existing datasets across EU including EC Directives and initiatives eg EPBD EED Ecodesign INSPIRE Digital Single Market reports and studies on relevant topics eg EU Building Stock observatory Data Exchange Study as well as existing frameworks and architectures

End-to-End Security Framework

This deliverable will deal with the endtoend security framework implementation

Best practices and Replication Guidelines

This deliverable will deal with drawing best practices and replication guidelines for MATRYCS large scale uptake

LSP 2 evaluation results: BUILDING REFURBISHMENT: Sustainable building assessment and optimisation of refurbishment options

This deliverable will be aimed to report main outcomes from LSP2 belonging to the MATRYCS DESIGN pilots category

MATRYCS Website

This deliverable will consists of the MATRYCS project web site graphical and textual design and implementation

Pubblicazioni

Forecasting of short-term PV production in energy communities through Machine Learning and Deep Learning algorithms

Autori: Nikos Dimitropoulos; Nikolaos Sofias; Panagiotis Kapsalis; Zoi Mylona; Vangelis Marinakis; Niccolo Primo; Haris Doukas
Pubblicato in: IEEE 2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA), Chania Crete, Greece, 12-14 July 2021, 2021, ISBN 978-1-6654-0032-9
Editore: IEEE
DOI: 10.1109/iisa52424.2021.9555544

Monitoring the impact of energy conservation measures with Artificial Neural Networks

Autori: Elissaios Sarmas; Nikos Dimitropoulos; Vangelis Marinakis; Aija Zucika; Haris Doukas
Pubblicato in: Proceedings of ECEEE 2022, 2022
Editore: -

A Quantitative Methodology to Support Local Governments in Climate Change Adaptation and Mitigation Actions

Autori: Nikos Dimitropoulos; Elissaios Sarmas; Marcelo Lampkowski; Vangelis Marinakis
Pubblicato in: Distributed Computing and Artificial Intelligence, Special Sessions I, 20th International Conference. DCAI 2023, 2023, ISBN 978-3-031-38317-5
Editore: Springer, Cham
DOI: 10.1007/978-3-031-38318-2_10

An Advanced Visualisation Engine with Role-Based Access Control for Building Energy Visual Analytics

Autori: Georgios Kormpakis; Panagiotis Kapsalis; Konstantinos Alexakis; Sotiris Pelekis; Evangelos Karakolis; Haris Doukas
Pubblicato in: 2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA), 2022
Editore: IEEE
DOI: 10.1109/iisa56318.2022.9904353

Graph model representation for buildings applications

Autori: Nikos Dimitropoulos; Panagiotis Kapsalis; Zoi Mylona; Haris Doukas
Pubblicato in: 31st European Conference on Operational Research, 2021
Editore: -

Data analytics as a cornerstone for healthy and sustainable buildings and communities

Autori: Marcelo Lampkowski; Zhiyu Pan; Gema Hernández Moral; Vaggelis Marinakis; Antonello Monti
Pubblicato in: 18th Healthy Buildings Europe Conference, 2023
Editore: -

Intelligent Querying for Implementing Building Aggregation Pipelines

Autori: Konstantinos Alexakis; Panagiotis Kapsalis; Zoi Mylona; Georgios Kormpakis; Evangelos Karakolis; Christos Ntanos; Dimitris Askounis
Pubblicato in: 2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA), 2022
Editore: IEEE
DOI: 10.1109/iisa56318.2022.9904384

A Web-based Service supporting Local Governments in SECAP Implementation Activities

Autori: Nikos Dimitropoulos; Eliza Milioni; Marcelo Lampkowski; Elissaios Sarmas; Panagiotis Kapsalis; Vangelis Marinakis; Haris Doukas
Pubblicato in: 2023 14th International Conference on Information, Intelligence, Systems & Applications (IISA), 2023
Editore: -

A web-based Building Automation and Control Service

Autori: Elissaios Sarmas; Nikos Dimitropoulos; Sofoklis Strompolas; Zoi Mylona; Vangelis Marinakis; Athanasios Giannadakis; Alexandros Romaios; Haris Doukas
Pubblicato in: 2023 14th International Conference on Information, Intelligence, Systems & Applications (IISA), 2022
Editore: IEEE
DOI: 10.1109/iisa56318.2022.9904364

MATRYCS: A Big Data Platform for Advanced Services in the Building domain

Autori: Dario Pellegrino
Pubblicato in: EGI-ACE Lightning Talks: Compute continuum use cases, 2022
Editore: -

Data analytics for Improving the Financeability of En- ergy Efficiency Investments

Autori: Vangelis Marinakis; Themistoklis Koutselis; Nikos Dimitropoulos; Aija Zucika; Haris Doukas
Pubblicato in: 2021 31st European Conference on Operational Research, 2021
Editore: -

A Reasoning Engine Architecture for Building Energy Metadata Management

Autori: Panagiotis Kapsalis; Giorgos Kormpakis; Konstantinos Alexakis; Evangelos Karakolis; Spiros Mouzakitis; Dimitris Askounis
Pubblicato in: 2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA), 2022
Editore: IEEE
DOI: 10.1109/iisa56318.2022.9904419

Predictive and prescriptive analytics for improved Energy Performance Certificates Reliability

Autori: Gema Hernandez Moral; Jose Hernandez; Sofia Mulero; Ivan Ramos; Francisco Miguel Miguel; Susana Martin;
Pubblicato in: 31st European Conference on Operational Research, 2021
Editore: -

Predicting Thermal Comfort in Buildings With Machine Learning and Occupant Feedback

Autori: Panagiotis Skaloumpakas; Elissaios Sarmas; Zoi Mylona; Alessio Cavadenti; Francesca Santori; Vangelis Marinakis
Pubblicato in: 2023 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv), 2023, ISBN 978-1-6654-5693-7
Editore: IEEE
DOI: 10.1109/metrolivenv56897.2023.10164051

Transfer learning strategies for solar power forecasting under data scarcity

Autori: Elissaios Sarmas;Nikos Dimitropoulos; Vangelis Marinakis; Zoi Mylona; Haris Doukas
Pubblicato in: Scientific Reports, 2022, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-022-18516-x

Managing the uncertainty of the U-value measurement using an auxiliary set along with a thermal camera

Autori: Georgios Papadakos; Vangelis Marinakis; Christos Konsta; Haris Doukas; Agis Papadopoulos
Pubblicato in: Energy and Buildings, 2021, ISSN 0378-7788
Editore: Elsevier BV
DOI: 10.1016/j.enbuild.2021.110984

MATRYCS—A Big Data Architecture for Advanced Services in the Building Domain

Autori: Marco Pau; Panagiotis Kapsalis; Zhiyu Pan; George Korbakis; Dario Pellegrino; Antonello Monti
Pubblicato in: Energies, 2022, ISSN 1996-1073
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/en15072568

Big Data Value Chain: Multiple Perspectives for the Built Environment

Autori: Gema Hernández-Moral; Sofía Mulero-Palencia; Víctor Iván Serna-González; Carla Rodríguez-Alonso; Roberto Sanz-Jimeno; Vangelis Marinakis; Nikos Dimitropoulos; Zoi Mylona; Daniele Antonucci; Haris Doukas
Pubblicato in: Energies, 2021, ISSN 1996-1073
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/en14154624

Leveraging Graph Analytics for Energy Efficiency Certificates

Autori: Panagiotis Kapsalis; Giorgos Kormpakis; Konstantinos Alexakis; Dimitrios Askounis
Pubblicato in: Energies, Numero 1, 2022, ISSN 1996-1073
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/en15041500

AI and Data Democratisation for Intelligent Energy Management

Autori: Vangelis Marinakis; Themistoklis Koutsellis; Alexandros Nikas; Haris Doukas
Pubblicato in: Energies, Numero 2, 2021, ISSN 1996-1073
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/en14144341

Comparative analysis of AI-based models for short-term photovoltaic power forecasting in energy cooperatives

Autori: Nikos Dimitropoulos; Zoi Mylona; Vangelis Marinakis; Panagiotis Kapsalis; Nikolaos Sofias; Niccolo Primo; Yannis Maniatis; Haris Doukas
Pubblicato in: Intelligent Decision Technologies, Numero 1, 2021, ISSN 1872-4981
Editore: IOS Press
DOI: 10.3233/IDT-210210

Semantic-Similarity-Based Schema Matching for Management of Building Energy Data

Autori: Zhiyu Pan; Guanchen Pan; Antonello Monti
Pubblicato in: Energies, 2022, ISSN 1996-1073
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/en15238894

Estimating the Energy Savings of Energy Efficiency Actions with Ensemble Machine Learning Models

Autori: Elissaios Sarmas; Evangelos Spiliotis; Nikos Dimitropoulos;Vangelis Marinakis; Haris Doukas
Pubblicato in: Applied Sciences, 2023, ISSN 2076-3417
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/app13042749

On-Premise Artificial Intelligence as a Service for Small and Medium Size Setups

Autori: Carolina Fortuna; Din Mušić; Gregor Cerar; Andrej Čampa; Panagiotis Kapsalis; Mihael Mohorčič
Pubblicato in: Advances in Engineering and Information Science Toward Smart City and Beyond, 2023, Pagina/e 55-73, ISBN 978-3-031-29301-6
Editore: Springer, Cham
DOI: 10.1007/978-3-031-29301-6_3

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