Energy Behaviour Change driven by plug-and-play-and-forget ICT and Business Models focusing on complementary currency for Energy Efficiency for the Wider Population

Livrables

D4.2 Individually functional system components (Backend – Core system, Sensors gateway, mobile app, analytics, credit management, simplified user experience, etc.)

It will provide the final system archiecture and the description of the individual ICT platform components, along with the definition of the interfaces between the modules.

D4.3 Initial version of the integrated system

It will provide a first demonstration of integration between backend-core system, sensors gateway, mobile app, analytics, credit management, simplified user experience, etc.

D4.4 Final integrated system incl. first version of sensor gateway, energy disaggregation, data analytic algorithms, credit management and external data for pilot usage

It will provide the final integration demonstration of the BENEFFICE ICT platform considering also energy disaggregation, data analytic algorithms, credit management and external data for pilot usage.

D4.5 Final BENEFFICE system

It will provide demonstration of the final BENEFFICE ICT platform as it will have evolved based on the pilot site operation, testing and users' feedback and requested functionality, end-user's feedback.

D3.4 Final personalised multi-factorial model

It will provide the final description of the updated multi-factorial model that will include results of tests to ensure that user patterns are well represented by the model. Also, it will contain the final study on economic, social and motivational incentives, along with analysis of their consideraration in the developed model.

D7.6 Dissemination report including communication material

It will provide a report on dissemination, communication and awareness raising activities during the first half duration of the project.

D7.7 Dissemination report including communication material

It will provide a report on dissemination, communication and awareness raising activities during the second half duration of the project.

D7.3 Analysis of existing business models and drawbacks based on economic theory

This will include an analysis of existing energy efficiency business models, it will identify the reasons for which they have become inefficient and will analyse the factors that can actually reverse this. It will also analyse the advantages and limitations of the fragmented and mono-dimensional European policies for addressing energy efficiency by changing users’ behaviour.

D3.3 Evolved personalised multi-factorial model

It will provide the description of the updated multi-factorial model, considering also pilot user feedback on overall quality, ease of use and understanding of the platform and also considering economic, social and motivational incentives.

D5.6 End-Users’ Acceptance Report

It will describe the measured user's acceptance of the BENEFFICE solutions and will derive conclusions by comparing collected baseline consumption per season (for 1 complete climatic year and in different climatic regions) with the consumption measured after applying the BENEFFICE solutions, so that major mistakes will be corrected and the analysis will yield more concrete results.

D5.7 End-Users’ Acceptance Report

It will provide the final report on the implementation of the evaluation methodology, the end user acceptance of the BENEFFICE system, relevant analysis comparison against the initial baseline situation and the targets set.

D7.2 Project flyer

It will provide the Communication flyer of BENEFFICE.

D3.2 Second version of the personalised multi-factorial model

It will provide the description of the updated multi-factorial model also considering the laboratory testing of the platform (information provided, menus, visuals, messages, etc.) that will have to be adjusted prior to pilot launch.

D2.1 Report on good practices and end users’ requirements of consumers’ models

It will include a survey of good energy efficiency -european and international- practices focusing on users’ behaviour and issues about energy efficiency.

D7.1 Project web site

It will provide the development of the project website.

Publications

Multi-Channel Recurrent Convolutional Neural Networks for Energy Disaggregation

Auteurs: Maria Kaselimi, Eftychios Protopapadakis, Athanasios Voulodimos, Nikolaos Doulamis, Anastasios Doulamis
Publié dans: IEEE Access, Numéro 7, 2019, Page(s) 81047-81056, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2019.2923742

Context Aware Energy Disaggregation Using Adaptive Bidirectional LSTM Models

Auteurs: Maria Kaselimi, Nikolaos Doulamis, Athanasios Voulodimos, Eftychios Protopapadakis, Anastasios Doulamis
Publié dans: IEEE Transactions on Smart Grid, Numéro 11/4, 2020, Page(s) 3054-3067, ISSN 1949-3053
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tsg.2020.2974347

Exploitation of the European Research Projects Aiming to Achieve a Behavior Change for Energy Saving Through Innovative IT Solutions

Auteurs: H. Launonen, A. Tisov, A. Melasecche Germini, R. Olivadese, K. Koroleva, M. Lukasik, A. Malamou, D. Arabsolgar, E. Zacharis and A. Garbi
Publié dans: Proceedings of Sustainable Places Conference 2019, Numéro 5-7 June, 2019
Éditeur: MDPI

EnerGAN: A GENERATIVE ADVERSARIAL NETWORK FOR ENERGY DISAGGREGATION

Auteurs: Maria Kaselimi, Athanasios Voulodimos, Eftychios Protopapadakis, Nikolaos Doulamis, Anastasios Doulamis
Publié dans: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, Page(s) 1578-1582, ISBN 978-1-5090-6631-5
Éditeur: IEEE
DOI: 10.1109/icassp40776.2020.9054342

BENEFFICE: Behaviour change, consumption monitoring and analytics with complementary currency rewards

Auteurs: A. Garbi, A. Malamou, N. Michas, Z. Pontikas, N. Doulamis, E. Protopapadakis, T. N. Mikkelsen, K. Kanellakis and J. L. Baradat
Publié dans: Proceedings of Sustainable Places Conference 2019, Numéro 5-7 June, 2019
Éditeur: MDPI

Creating a Baseline for Robust Energy Savings Estimation in Households

Auteurs: Protopapadakis, Eftychios; Garbi, Anastasia; Malamou, Anna; Kaselimi, Maria; Pontikas, Zisis; Doulamis, Anastasios; Doulamis, Nikolaos; Vasilakis, Kostas; Michas, Nassos; Alexakis, Emmanouel
Publié dans: 24th Pan-Hellenic Conference on Informatics, Conference Proceedings, Numéro 2, 2020, ISBN 978-1-4503-8897-9
Éditeur: ACM

Bayesian-optimized Bidirectional LSTM Regression Model for Non-intrusive Load Monitoring

Auteurs: Maria Kaselimi, Nikolaos Doulamis, Anastasios Doulamis, Athanasios Voulodimos, Eftychios Protopapadakis
Publié dans: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, Page(s) 2747-2751, ISBN 978-1-4799-8131-1
Éditeur: IEEE
DOI: 10.1109/icassp.2019.8683110

Changing User’s energy consumption behavior using IΟT

Auteurs: Protopapadakis, E., Doulamis, A., & Kaselimi, M.
Publié dans: The Contribution of Operational Research, New Technologies and Innovation in Agriculture and Tourism, 7th International Symposium and 29th National Conference on Operational Research, Numéro 2018, 2018, Page(s) Vol, 1, Pages: 83–87, ISBN 978-618-80361-7-8
Éditeur: EEEE

Long-term recurrent convolutional networks for non-intrusive load monitoring

Auteurs: Maria Kaselimi, Nikolaos Doulamis
Publié dans: Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2020, Page(s) 1-4, ISBN 9781450377737
Éditeur: ACM
DOI: 10.1145/3389189.3397995

Livrables

Publications

Partager cette page

Télécharger