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

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Sustainable training programme: lessons learnt and way forward

Way forward: Overview of possibilities for a sustainable training programme beyond the project

Interim progress of information science research

D1.2 Interim progress of Information Sciences research including cross-sectoral/disciplinary interactions (M24). Assessment measure: A comprehensive literature review completed; novel interpretable ML models; adaptable semi-supervised deep learning models; an algorithm with high transferability tested.D1.3 Final conclusions and recommendations of Information Sciences core research (M41). Assessment measure: Meeting all ESRs 1-6 research objectives listed inTable 3.1b, pp. 25 (report and software).

Challenges & benefits of inter-disciplinary-sectoral collaboration

D2.4 Challenges and benefits of social science inter-disciplinary/-sectoral collaboration (M46). Assessment measure: Report on lessons learnt, suggestions for effective ways of interaction and exploitation.

Final conclusions & recommendations of ML research

D1.3 Final conclusions and recommendations of Information Sciences core research (M41). Assessment measure: Meeting all ESRs 1-6 research objectives listed in Table 3.1b, pp. 25 (report and software).

Project communication plan

D55 Project communication plan to stakeholders schools and general public M14

Final conclusions & recommendations of social foundations research

D2.3 Final conclusions and recommendations of Social Foundations core research (M39). Assessment measure: Meeting all ESRs 7-11 research objectives listed in Table 3.1b, pp. 25, including new insights on policy co-designed interventions; CHT design principles in relation to social justice

Risk & Quality assurance management plan

D62 Comprehensive risk and quality management plan M5

Challenges & benefits of information science collaboration

D1.4 Challenges and benefits of information science inter-disciplinary and inter-sectoral collaboration (M47). Assessment measure: Comprehensive report on lessons learnt, suggestions for effective ways of collaboration and exploitation.

Interim progress of social science foundations research

D2.2 Interim progress of Social Science Foundations research including cross-sectoral/disciplinary interactions (M22). Assessment measure: A literature review completed; identified influence of CHT on daily routines; insights into relationships between learning and practice theories; qualitative studies of practices related to CHTcompiled; analytical account of the potential for low-energy scripting

Interim progress of scientific data interpretation

D3.2 Interim progress of WP3 research including cross-sectoral/disciplinary interactions (M26). Assessment measure: A comprehensive literature review completed;design concepts for energy awareness based on IPAs; survey on XAI; ML code optimisation; a cloud-computing IoT platform design

Final theses of the ESRs

D5.7 Final theses of the ESRs – a report on PhD theses including summary, goals, and submission dates (M46)

Final conclusions & recommendations of data interpretation

D3.3 Final conclusions and recommendations of WP3 research (M45). Assessment measure: Meeting all ESRs 12-15 research objectives listed in Table 3.1b, pp. 25, including IoT software platform; bias-free ML models; XIA-based CHT demonstration

Report on training schools

D4.3 Report on the training schools (M33)

Web-site and social media accounts

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

Open access software

D3.4 Making generated data and software open access (M40). Assessment measure: Comprehensive report on lessons learnt, user groups

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

A weakly supervised active learning framework for non-intrusive load monitoring

Autori: Giulia Tanoni, Tamara Sobot, Emanuele Principi, Vladimir Stankovic, Lina Stankovic, Stefano Squartini
Pubblicato in: Integrated Computer-Aided Engineering, 2024, ISSN 1069-2509
Editore: IOS Press

The Plegma dataset: Domestic appliance-level and aggregate electricity demand with metadata from Greece

Autori: Sotirios Athanasoulias, Fernanda Guasselli, Nikolaos Doulamis, Anastasios Doulamis, Nikolaos Ipiotis, Athina Katsari, Lina Stankovic, Vladimir Stankovic
Pubblicato in: Scientific Data, Numero 11, 2024, ISSN 2052-4463
Editore: Springer Nature
DOI: 10.1038/s41597-024-03208-0

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

ForecastExplainer: Explainable household energy demand forecasting by approximating shapley values using DeepLIFT

Autori: Md Shajalal, Alexander Boden, Gunnar Stevens
Pubblicato in: Technological Forecasting and Social Change, Numero 206, 2024, Pagina/e 123588, ISSN 0040-1625
Editore: Elsevier BV
DOI: 10.1016/j.techfore.2024.123588

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

Descriptor: A Norwegian Positive Energy Neighborhood Dataset of Electrical Measurements and Interviews on Energy Practices (NorPEN)

Autori: Apostolos Vavouris, Fernanda Guasselli, Lina Stankovic, Vladimir Stankovic, Kirsten Gram-Hanssen, Sébastien Didierjean
Pubblicato in: IEEE Data Descriptions, Numero 1, 2024, Pagina/e 113-121, ISSN 2995-4274
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ieeedata.2024.3483154

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

Intersectional analysis of visual generative AI: the case of stable diffusion

Autori: Petra Jääskeläinen, Nickhil Kumar Sharma, Helen Pallett, Cecilia Åsberg
Pubblicato in: AI & SOCIETY, Numero 40, 2025, Pagina/e 4341-4362, ISSN 0951-5666
Editore: Springer Verlag
DOI: 10.1007/s00146-025-02207-y

OPT-NILM: An Iterative Prior-to-Full-Training Pruning Approach for Cost-Effective User Side Energy Disaggregation

Autori: Sotirios Athanasoulias, Stavros Sykiotis, Maria Kaselimi, Anastasios Doulamis, Nikolaos Doulamis, Nikolaos Ipiotis
Pubblicato in: IEEE Transactions on Consumer Electronics, Numero 70, 2024, Pagina/e 4435-4446, ISSN 0098-3063
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tce.2023.3324493

Are you thinking what I’m thinking? The role of professionals’ imaginaries in the development of smart home technologies

Autori: Vinícius Juliani Pereira, Tom Hargreaves
Pubblicato in: Futures, Numero 163, 2024, Pagina/e 103458, ISSN 0016-3287
Editore: Elsevier BV
DOI: 10.1016/j.futures.2024.103458

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

Improved Thermal Comfort Model Leveraging Conditional Tabular GAN Focusing on Feature Selection

Autori: Md. Shajalal, Milad Bohlouli, Hari Prasanna Das, Alexander Boden, Gunnar Stevens
Pubblicato in: IEEE Access, Numero 12, 2024, Pagina/e 30039-30053, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2024.3366453

A weakly supervised active learning framework for non-intrusive load monitoring

Autori: Giulia Tanoni, Tamara Sobot, Emanuele Principi, Vladimir Stankovic, Lina Stankovic, Stefano Squartini
Pubblicato in: Integrated Computer-Aided Engineering, Numero 32, 2025, Pagina/e 39-56, ISSN 1069-2509
Editore: IOS Press
DOI: 10.3233/ica-240738

Citizen perceptions and interactions towards self-sufficiency, community plot ratio and civic generosity within sustainable neighbourhoods

Autori: Joseph Llewellyn, Cecilia Katzeff, Daniel Pargman, Fredrik Johansson
Pubblicato in: City and Environment Interactions, Numero 24, 2024, Pagina/e 100180, ISSN 2590-2520
Editore: Elsevier BV
DOI: 10.1016/j.cacint.2024.100180

Integration of Drivers’ Routines into Lifecycle Assessment of Electric Vehicles

Autori: Apostolos Vavouris, Lina Stankovic, Vladimir Stankovic
Pubblicato in: Transportation Research Procedia, Numero 70, 2024, Pagina/e 322-329, ISSN 2352-1465
Editore: Elsevier BV
DOI: 10.1016/j.trpro.2023.11.036

“If something breaks, who comes here to fix it?”: Island narratives on the energy transition in light of the concept of practice architectures

Autori: Chiara Tellarini, Kirsten Gram-Hanssen
Pubblicato in: Energy Research & Social Science, Numero 114, 2024, Pagina/e 103617, ISSN 2214-6296
Editore: Elsevier Limited
DOI: 10.1016/j.erss.2024.103617

XNILMBoost: Explainability-informed load disaggregation training enhancement using attribution priors

Autori: Djordje Batic, Vladimir Stankovic, Lina Stankovic
Pubblicato in: Engineering Applications of Artificial Intelligence, Numero 141, 2025, Pagina/e 109766, ISSN 0952-1976
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.engappai.2024.109766

Unlocking the potential of smart EV charging: A user-oriented control system based on Deep Reinforcement Learning

Autori: Christoforos Menos-Aikateriniadis, Stavros Sykiotis, Pavlos S. Georgilakis
Pubblicato in: Electric Power Systems Research, Numero 230, 2024, Pagina/e 110255, ISSN 0378-7796
Editore: Elsevier BV
DOI: 10.1016/j.epsr.2024.110255

Assessing the impact of energy coaching with smart technology interventions to alleviate energy poverty

Autori: Joseph Llewellyn, Titus Venverloo, Fabio Duarte, Carlo Ratti, Cecilia Katzeff, Fredrik Johansson, Daniel Pargman
Pubblicato in: Scientific Reports, Numero 15, 2025, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-024-80773-9

Interpretability and reliability-driven knowledge distillation for non-intrusive load monitoring on the edge

Autori: Djordje Batic, Giulia Tanoni, Emanuele Principi, Lina Stankovic, Vladimir Stankovic, Stefano Squartini
Pubblicato in: Expert Systems with Applications, Numero 294, 2025, Pagina/e 128837, ISSN 0957-4174
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2025.128837

A non-intrusive load monitoring-enabled framework for load scheduling in the dairy industry

Autori: Apostolos Vavouris, Lina Stankovic, Vladimir Stankovic
Pubblicato in: Applied Energy, Numero 398, 2025, Pagina/e 126456, ISSN 0306-2619
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.apenergy.2025.126456

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

Geodemographic aware electric vehicle charging location planning for equitable placement using Graph Neural Networks: Case study of Scotland metropolitan areas

Autori: Djordje Batic, Vladimir Stankovic, Lina Stankovic
Pubblicato in: Energy, Numero 332, 2025, Pagina/e 135834, ISSN 0360-5442
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.energy.2025.135834

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: 2022 30th European Signal Processing Conference (EUSIPCO), 2022, Pagina/e 1536-1540, ISSN 2076-1465
Editore: IEEE
DOI: 10.23919/eusipco55093.2022.9909768

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

An Active Learning Framework for Microseismic Event Detection

Autori: Tamara Sobot, David Murray, Vladimir Stankovic, Lina Stankovic, Peidong Shi
Pubblicato in: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 2024, Pagina/e 493-497, ISSN 2153-7003
Editore: IEEE
DOI: 10.1109/igarss53475.2024.10640569

A Fair Selection Strategy for Residential Demand Response Participants

Autori: Christoforos Menos-Aikateriniadis, Igyso Zafeiratou, Nikolaos Charitos, Pavlos S. Georgilakis, Isidoros Kokos
Pubblicato in: 2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 2023
Editore: IEEE
DOI: 10.1109/smartgridcomm57358.2023.10333883

A Pre-Training Pruning Strategy for Enabling Lightweight Non-Intrusive Load Monitoring On Edge Devices

Autori: Sotirios Athanasoulias, Stavros Sykiotis, Nikos Temenos, Anastasios Doulamis, Nikolaos Doulamis
Pubblicato in: 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), 2024, Pagina/e 249-253
Editore: IEEE
DOI: 10.1109/icasspw62465.2024.10626463

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: Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 2022, Pagina/e 393-397, ISBN 9781450398909
Editore: ACM
DOI: 10.1145/3563357.3566149

Time and Money Matters for Sustainability: Insights on User Preferences on Renewable Energy for Electric Vehicle Charging Stations

Autori: Delong Du, Apostolos Vavouris, Omid Veisi, Lu Jin, Gunnar Stevens, Lina Stankovic, Vladimir Stankovic, Alexander Boden
Pubblicato in: Proceedings of Mensch und Computer 2024, Numero 18, 2024, Pagina/e 269-278
Editore: ACM
DOI: 10.1145/3670653.3670677

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)

Arabic Sentiment Analysis with Noisy Deep Explainable Model

Autori: Md. Atabuzzaman, Md Shajalal, Maksuda Bilkis Baby, Alexander Boden
Pubblicato in: Proceedings of the 2023 7th International Conference on Natural Language Processing and Information Retrieval, 2024
Editore: ACM
DOI: 10.1145/3639233.3639241

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

Optimal scheduling of electric vehicle charging with deep reinforcement learning considering end users flexibility

Autori: C. Menos-Aikateriniadis, S. Sykiotis, P. S. Georgilakis
Pubblicato in: 13th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2022), 2023
Editore: Institution of Engineering and Technology
DOI: 10.1049/icp.2023.0007

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

Explaining AI Decisions: Towards Achieving Human-Centered Explainability in Smart Home Environments

Autori: Md Shajalal, Alexander Boden, Gunnar Stevens, Delong Du, Dean-Robin Kern
Pubblicato in: Communications in Computer and Information Science, Explainable Artificial Intelligence, 2024, Pagina/e 418-440
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-63803-9_23

What Matters in Explanations: Towards Explainable Fake Review Detection Focusing on Transformers

Autori: Md Shajalal, Md Atabuzzaman, Alexander Boden, Gunnar Stevens, Delong Du
Pubblicato in: arXiv, 2024
Editore: arXiv
DOI: 10.48550/arxiv.2407.21056

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

È in corso la ricerca di dati su OpenAIRE...

Risultati finali

Pubblicazioni

Condividi questa pagina Condividi questa pagina sui social network

Scarica Scarica il contenuto della pagina