PUBLICATIONS

Project Public Deliverables

CodeDeliverable Title
D1.3 Data Management Plan
D1.4 Societal impact report – First
D1.5 Societal impact report – Final Report
D2.1 Definition of the Use Cases and Requirements
D2.2 Taxonomy of energy efficiency models
D2.3 Mapping consumers needs to the taxonomy model
D3.1Report on findings from consultations and online-survey
D3.3Metrics to validate Eco-Bot engagement actions and proposed measures
D5.1Pilot Plans and Report for the demo preparations
D5.5Validation Results including Lessons Learned and societal impact
D6.1Dissemination strategy and action plan Draft Version
D6.2Dissemination strategy and action plan
D6.3Report on the Eco-Bot dissemination activities Version 1
D6.4Report on the Eco-Bot dissemination activities Version 2
D6.7Eco-Bot Video Version 1
D6.8Eco-Bot Video Version 2
D6.9Report on the liaison and cluster activities with the other projects Version 1
D6.10Report on the liaison and cluster activities with the other projects Version 2
D6.11Report on the liaison and cluster activities with the other projects Version 3
D6.12Report on the Eco-Bot dissemination activities Version 3
D7.5Market Environment Study
D7.6Workshop Documentation
D7.7Eco-Bot Roadmap

Project Scientific Publications

L. Stankovic, K. He, V. Stankovic, S. Lulic and S. Sladojevic, “Online accuracy estimation and improvement of event-based NILM algorithms without resorting to submetered individual loads,” EU NILM Workshop, Nov 2017, London, UK.

B. Zhao, L. Stankovic and V. Stankovic, “Electricity usage profile disaggregation of hourly smart meter data”, 4th Int. Workshop on Non-Intrusive Load Monitoring, July 2018, Austin, TX USA.

D. Murray, L. Stankovic, V. Stankovic, S. Lulic and S. Sladojevic, “Transferability of neural networks approaches for low-rate energy disaggregation”, Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), May 2019, Brighton, UK.

Stephanos Camarinopoulos, Theodora Karali, Ulrich Hussels “Eco-Bot Presentation – Chat-Bot for Advising Users on Individual Energy Efficiency Models”, Tagungsband UIS 2018