The work in this topic addresses the practical implications of deploying and long-term testing Non-Intrusive Load Monitoring (NILM) and novel eco-feedback approaches in real-world scenarios.
Overall, the research contributions in this topic are centered around: i) the design, implementation and long-term deployment of energy disaggregation and eco-feedback technologies in real world scenarios [1], ii) the development of tools and datasets for energy disaggregation and eco-feedback research [2], and iii) experimental comparison of performance metrics for event detection and event classification algorithms using real-world datasets [3].
Ultimately, so far, this work has led to the successful application of 3 Research & Development grants: i) the Smart Solar Energy Monitoring and Management project (SmartSolar), where our hardware-software platforms were used to simultaneously monitor energy consumption and micro-production from solar PV installations, ii) the H2020 SME instrument phase I, with prsma.com (a M-ITI spin-off for sustainable energy research and development) aimed at developing and exploring business feasibility of the EnerSpectrum energy monitoring and eco-feedback platform for domestic environments, and iii) the H2020 Smart Island Energy Systems project (SMILE) aimed at demonstration the real-word applicability of Demand Side Management and Smart-charging of Electric Vehicles in Madeira Island.
Grants:
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SmartSolar, MADFDR-01-0190-FEDER-000015 (funding agency: Madeira Region II / + Conhecimento II)
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PRSMA, https://sme.easme-web.eu/beneficiary/927110481?b=927110481 (funding agency: EU / H2020-SMEINST-1-2015)
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SMILE, http://www.h2020smile.eu/ (funding agency: EU / H2020-LCE-2016-SGS)
References to the Research
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Pereira, L., Quintal, F.., Barreto, M. and Nunes, N.J. (2013) “Understanding the Limitations of Eco-feedback: A One Year Long-term study” In Proceedings of the ACM / IEEE Conference on Human Factors in Computing & Informatics, SouthCHI ’13
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Pereira, L., Quintal, F., Gonçalves, R. and Nunes, N.J. (2014) “SustData: A Public Dataset for ICT4S Electric Energy Research,” In Proceedings of the International Conference of ICT for Sustainability 2014, ICT4S ’14
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Pereira, L., and Nunes, N.J. (2017) “A Comparison of Performance Metrics for Event Classification in Non-Intrusive Load Monitoring”, In Proceedings of the IEEE International Conference on Smart Grid Communications, SmartGridComm ’17
Sources to Corroborate the Impact
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Prof. Mario Bergés, Carnegie Mellon University, Pittsburgh, USA (marioberges@cmu.edu)
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Prof. Alex Rogers, University of Oxford, Oxford, UK (alex.rogers@cs.ox.ac.uk)
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Prof. João Paulo Costeira, Técnico, University of Lisbon, Lisbon, Portugal (jpcosteira@tecnico.ulisboa.pt)
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Dr.-Ing. Andreas Reinhardt, Technische Universität Clausthal, Clausthal, Germany (reinhardt@ieee.org)
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Ing. Giannicola Loriga, Rina Consulting S.p.A., Genoa, Italy (gianni.loriga@rina.org)
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Dr. Ana Branco, H2020 Consultant, Madrid, Spain (anasofia.cairesbranco@gmail.com)