building GrEener and more sustainable soCieties by filling the Knowledge gap in social science and engineering to enable responsible artificial intelligence co-creatiOn

Risultati finali

D51 Launch of the website and social media accounts Periodic report on the updates activities and hits M3 M22 M35

D55 Project communication plan to stakeholders schools and general public M14

Risk & Quality assurance management plan

D62 Comprehensive risk and quality management plan M5

Interim progress of scientific data interpretation

D32 Interim progress of WP3 research including crosssectoraldisciplinary interactions M26 Assessment measure A comprehensive literature review completeddesign concepts for energy awareness based on IPAs survey on XAI ML code optimisation a cloudcomputing IoT platform design

Pubblicazioni

Low-Frequency Non-Intrusive Load Monitoring of Electric Vehicles in Houses with Solar Generation: Generalisability and Transferability

Autori: Apostolos Vavouris, Benjamin Garside, Lina Stankovic, Vladimir Stankovic
Pubblicato in: Energies, Numero 2022, 15(6), 2022, Pagina/e 1-27, ISSN 1996-1073
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/en15062200

Performance-aware NILM model optimization for edge deployment

Autori: Stavros Sykiotis, Sotirios Athanasoulias, Maria Kaselimi, Anastasios Doulamis, Nikolaos Doulamis, Lina Stankovic, Vladimir Stankovic
Pubblicato in: IEEE Transactions on Green Communications and Networking, 2023, ISSN 2473-2400
Editore: IEEE
DOI: 10.1109/tgcn.2023.3244278

Particle Swarm Optimization in Residential Demand-Side Management: A Review on Scheduling and Control Algorithms for Demand Response Provision

Autori: Christoforos Menos-Aikateriniadis, Ilias Lamprinos, and Pavlos S. Georgilakis
Pubblicato in: Energies, 2022, ISSN 1996-1073
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/en15062211

A self-sustained EV charging framework with N-step deep reinforcement learning

Autori: Stavros Sykiotis Christoforos Menos-Aikateriniadis Anastasios Doulamis Nikolaos Doulamis Pavlos S. Georgilakis
Pubblicato in: Sustainable Energy, Grids and Networks, 2023, ISSN 2352-4677
Editore: Elsevier Limited
DOI: 10.1016/j.segan.2023.101124

ELECTRIcity: An Efficient Transformer for Non-Intrusive Load Monitoring

Autori: Stavros Sykiotis, Maria Kaselimi, Anastasios Doulamis and Nikolaos Doulamis
Pubblicato in: "Sensors, Special Numero ""Practical Nonintrusive Load Monitoring Approaches with Meaningful Performance Evaluation""", 2022, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s22082926

An active learning framework for the low-frequency Non-Intrusive Load Monitoring problem

Autori: Tamara Todic, Vladimir Stankovic, Lina Stankovic
Pubblicato in: Applied Energy, Numero 341, 2023, ISSN 0306-2619
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.apenergy.2023.121078

Towards transparent load disaggregation – a framework for quantitative evaluation of explainability using explainable AI

Autori: Djordje Batic, Vladimir Stankovic, Lina Stankovic
Pubblicato in: IEEE Transactions on Consumer Electronics, Numero August 1, 2023, ISSN 0098-3063
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tce.2023.3300530

Smart energy technologies for the collective: Time-shifting, demand reduction and household practices in a Positive Energy Neighbourhood in Norway

Autori: Fernanda Guasselli, Apostolos Vavouris, Lina Stankovic, Vladimir Stankovic, Sebastien Didierjean, Kirsten Gram-Hanssen
Pubblicato in: Energy Research & Social Science, 2024, ISSN 2214-6296
Editore: Elsevier Limited
DOI: 10.1016/j.erss.2024.103436

A complex mixed-methods data-driven energy-centric evaluation of net-positive households

Autori: Apostolos Vavouris, Fernanda Guasselli, Lina Stankovic, Vladimir Stankovic, Kirsten Gram-Hanssen, Sébastien Didierjean
Pubblicato in: Applied Energy, Numero vol. 367, 2024, ISSN 0306-2619
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.apenergy.2024.123404

Explainable product backorder prediction exploiting CNN: Introducing explainable models in businesses

Autori: Md Shajalal, Alexander Boden, Gunnar Stevens
Pubblicato in: Electronic Markets, Numero 2022, 2022, ISSN 1422-8890
Editore: Springer
DOI: 10.1007/s12525-022-00599-z

Human in the loop active learning for time-series electrical measurement data

Autori: Tamara Sobot, Vladimir Stankovic, Lina Stankovic
Pubblicato in: Engineering Applications of Artificial Intelligence, Numero vol. 133, 2024, ISSN 0952-1976
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.engappai.2024.108589

https://ieeexplore.ieee.org/abstract/document/10095696

Autori: Stavros Sykiotis Maria Kaselimi Anastasios Doulamis Nikolaos Doulamis
Pubblicato in: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
Editore: IEEE
DOI: 10.1109/icassp49357.2023.10095696

How do smart energy systems aggravate injustices against marginalised groups?

Autori: Sharma, N
Pubblicato in: STS Conference, Graz 2022, Numero Joint Annual Conference of the Science, Technology and Society Unit, 2022
Editore: Graz University of Technology

Methodological innovations and challenges for research in and on smart/connected home environments

Autori: Sharma, N., & Pereira, V
Pubblicato in: RELINK Project Workshop, 2021
Editore: RELINK Project

Quantification of dairy farm energy consumption to support the transition to sustainable farming

Autori: Tamara Todic, Lina Stankovic, Vladimir Stankovic
Pubblicato in: IEEE International Conference on Smart Computing 2022, 2022
Editore: IEEE
DOI: 10.1109/smartcomp55677.2022.00082

The design space of building user-centered AI user interfaces for smart heating systems.

Autori: Jin, Lu, and Alexander Boden
Pubblicato in: UCAI 2023: Workshop on User-Centered Artificial Intelligence, 2023
Editore: Mensch und Computer conference
DOI: 10.18420/muc2023-mci-ws16-384

Peeking Inside the Schufa Blackbox: Explaining the German Housing Scoring System

Autori: Kern Dean-Robin, Stevens Gunnar, Dethier Erik, Naveed Sidra, Alizadeh Fatemeh, Du Delong, Md Shajalal
Pubblicato in: ACM CHI 2023 Workshop on Human-Centered Explainable AI (HCXAI), collocated with ACM CHI2023, 2023
Editore: ACM

Unveiling Black-Boxes: Explainable Deep Learning Models for Patent Classification

Autori: Md Shajalal, Sebastian Denef, Md. Rezaul Karim, Alexander Boden & Gunnar Stevens
Pubblicato in: Explainable Artificial Intelligence. xAI 2023. Communications in Computer and Information Science, 2023
Editore: Springer
DOI: 10.1007/978-3-031-44067-0_24

Interpreting Black-box Machine Learning Models for High Dimensional Datasets

Autori: Karim, Md. Rezaul and Shajalal, Md and Graß, Alexander and Döhmen, Till and Chala, Sisay Adugna and Boden, Alexander and Beecks, Christian and Decker, Stefan
Pubblicato in: 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA), 2023
Editore: IEEE
DOI: 10.1109/dsaa60987.2023.10302562

An efficient deep bidirectional Transformer model for energy disaggregation

Autori: Stavros Sykiotis, Maria Kaselimi, Anastasios Doulamis, Nikolaos Doulamis
Pubblicato in: 30th European Signal Processing Conference, EUSIPCO 2022, 2022
Editore: EURASIP

Improving knowledge distillation for non-intrusive load monitoring through explainability guided learning

Autori: Djordje Batic, Giulia Tanoni, Lina Stankovic, Vladimir Stankovic, Emanuele Principi
Pubblicato in: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Numero Jun 2023, 2023, ISBN 9781728163277
Editore: IEEE
DOI: 10.1109/icassp49357.2023.10095109

Collective construction of responsible and explainable AI for Smart Home technologies

Autori: Pereira, V.
Pubblicato in: ARIES Winter School, 2021
Editore: ARIES Doctoral Training Partnership

Benefits of three-phase metering for load disaggregation

Autori: Apostolos Vavouris, Lina Stankovic, Vladimir Stankovic
Pubblicato in: 6th International Workshop on Non-Intrusive Load Monitoring (NILM '22), 2022
Editore: ACM

Integration of Drivers’ Routines into Lifecycle Assessment of Electric Vehicles

Autori: Apostolos Vavouris, Lina Stankovic and Vladimir Stankovic
Pubblicato in: 8th International Electric Vehicle Conference (EVC2023), 2023
Editore: 8th International Electric Vehicle Conference (EVC2023)

Solar Power driven EV Charging Optimization with Deep Reinforcement Learning

Autori: Stavros Sykiotis, Christoforos Menos-Aikateriniadis, Anastasios Doulamis, Nikolaos Doulamis, Pavlos S. Georgilakis
Pubblicato in: 2nd International Conference on Energy Transition in the Mediterranean Area, 2022
Editore: IEEE PES

Textual Entailment Recognition with Semantic Features from Empirical Text Representation

Autori: Md Shajalal, Md. Atabuzzaman, Maksuda Bilkis Baby, Md Rezaul Karim and Alexander Boden,
Pubblicato in: International Conference on Speech and Language Technologies SPELLL 2022, 2023
Editore: Springer
DOI: 10.1007/978-3-031-33231-9_12

Learning to consume less energy through strategies of sufficiency

Autori: Chiara Tellarini, Toke Haunstrup Christensen
Pubblicato in: European Council for an Energy Efficient Economy (ECEEE) Summer Study on Energy Efficiency, 2022
Editore: European Council for an Energy Efficient Economy (ECEEE)

Social justice implications of smart urban technologies: an intersectional approach

Autori: Sharma, N.K., Hargreaves, T., & Pallett, H.
Pubblicato in: Buildings and Cities, Numero 4(1), 2023, Pagina/e 315-333, ISSN 2632-6655
Editore: Ubiquity Press
DOI: 10.5334/bc.290

Towards user-centered explainable energy demand forecasting systems

Autori: Shajalal, M., Boden, A., & Stevens, G.
Pubblicato in: e-Energy ’22: Proceedings of the Thirteenth ACM International Conference on Future Energy Systems, 2022
Editore: ACM
DOI: 10.1145/3538637.3538877

Focus on what matters: improved feature selection techniques for personal thermal comfort modelling

Autori: Md Shajalal, Milad Bohlouli, Hari Prasanna Das, Alexander Boden, Gunnar Stevens
Pubblicato in: BuildSys '22: Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Numero Nov 2022, 2022, Pagina/e 496-499
Editore: ACM
DOI: 10.1145/3563357.3567406

Construção coletiva e sustentável de tecnologias de inteligência artificial para smart houses.

Autori: Pereira, V.
Pubblicato in: 2021
Editore: Grupo de Pesquisa Representação: Imaginário e Tecnologia (RITe)

Automated Decision Making Systems in Smart Homes: A Study on User Engagement and Design.

Autori: Jin, L., Boden, A., & Shajalal, M.
Pubblicato in: CHI Conference on Human Factors in Computing Systems workshop AutomationXP22: Engaging with Automation, 2022
Editore: Organisers

Review on the Application Areas of Decision-Making Algorithms in Smart Homes

Autori: Jin, Lu; Boden, Alexander
Pubblicato in: HHAI 2023: Augmenting Human Intellect, 2023
Editore: IOS Press
DOI: 10.3233/faia230076

A First Approach using Graph Neural Networks on Non-Intrusive-Load-Monitoring

Autori: Sotirios Athanasoulias, Stavros Sykiotis, Maria Kaselimi, Eftychios Protopapadakis, Nikolaos Ipiotis
Pubblicato in: PETRA '22: Proceedings of the 15th International Conference on Pervasive Technologies Related to Assistive Environments, Numero June 2022, 2022, Pagina/e 601–607, ISBN 978-1-4503-9631-8
Editore: Association for Computing Machinery
DOI: 10.1145/3529190.3534722

Visual prototyping the Smart-House future: a proposed co-design experience based on the collective imaginary from the cinema.

Autori: Pereira, V., & Barros, G.
Pubblicato in: Actes du IV Colloque International Imaginaire: Construire et Habiter la Terre: mégalopoles, métropoles, villes à la campagne, villes décroissantes. Quels imaginaires pour la ville de demain?., 2021
Editore: IV Colloque International Imaginaire: Construire et Habiter la Terre: mégalopoles, métropoles, villes à la campagne, villes décroissantes. Quels imaginaires pour la ville de demain?

Analysing co-design methods applied to energy-related smart home technologies

Autori: Fernanda Guasselli, Aalborg, Vinicius Pereira, Kirsten Gram-Hanssen,
Pubblicato in: European Council for an Energy Efficient Economy (eceee) Summer Study on Energy Efficiency., 2022
Editore: European Council for an Energy Efficient Economy (eceee)

Optimal Scheduling of Electric Vehicle Charging with Deep Reinforcement Learning Considering End Users Flexibility

Autori: Christoforos Menos-Aikateriniadis, Stavros Sykiotis, Pavlos S. Georgilakis
Pubblicato in: 13th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER2022), 2022
Editore: IET

An interoperable and cost-effective IoT-based Framework for Household Energy Monitoring and Analysis

Autori: Sotirios Athanasoulias, Athina Katsari, Michail Savvakis, Stelios Kalogridis, Nikolaos Ipiotis
Pubblicato in: 16th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA '23), 2023, Pagina/e 589–595, ISBN 9798400700699
Editore: Association for Computing Machinery
DOI: 10.1145/3594806.3596541

Provocative AI: Beyond Calm Interactions

Autori: Hargreaves, T., Pereira V.J.
Pubblicato in: IEEE Pervasive Computing, Numero 22(3), 2023, ISSN 1536-1268
Editore: IEEE Computer Society
DOI: 10.1109/mprv.2023.3282819

Risultati finali

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