The design of a hardware-software platform for long-term energy eco-feedback research

Pereira, Lucas; Quintal, Filipe; Nunes, Nuno; Bergés, Mario

doi:10.1145/2305484.2305521

Cited by 21 publications

(20 citation statements)

References 14 publications

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“…Our sensing and eco-feedback platform is based on a custom made NILM system [18,21]. Our research was target at real world deployment of low-cost eco-feedback systems that are capable of sensing and disaggregating energy data in households.…”

Section: Methodsmentioning

confidence: 99%

“…In the initial deployments, the feedback was given via the display of a small netbook installed behind the main door of the house (where the main fuse box is located in most of the houses) [21], this type of stationary feedback is clearly limited since it is not accessible to all the household members at the time of decision (e.g. turning off a high consumption appliance).…”

Section: Refinements Of the Feedback Systemmentioning

confidence: 99%

“…Therefore specific appliances can be isolated and their individual consumption calculated using complex signal processing and statistical learning techniques [18]. Low cost and non-intrusiveness are the main advantages of the NIML approach thus it was chosen as the building block of the sensing infrastructure that supports this research [21].…”

Section: System Designmentioning

confidence: 99%

See 2 more Smart Citations

WATTSBurning: Design and Evaluation of an Innovative Eco-Feedback System

Quintal

Pereira

Nunes

et al. 2013

Lecture Notes in Computer Science

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Abstract. This paper reports a 15 weeks study of artistic eco-feedback deployed in six houses with an innovative sensing infrastructure and visualization strategy. The paper builds on previous work that showed a significant decrease in user awareness after a short period with a relapse in consumption. In this study we aimed to investigate if new forms of feedback could overcome this issue, maintaining the users awareness for longer periods of time. The study presented here aims at understanding if people are more aware of their energy consumption after the installation of a new, art inspired eco-feedback. The research question was then: does artistic eco-feedback provide an increased awareness over normal informative feedback? And does that awareness last longer? To answer this questions participants were interviewed and their consumption patterns analyzed. The main contribution of the paper is to advance our knowledge about the effectiveness of eco-feedback and provide guidelines for implementation of novel eco-feedback visualizations that overcome the relapse behavior pattern.

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Section: Methodsmentioning

confidence: 99%

Section: Refinements Of the Feedback Systemmentioning

confidence: 99%

Section: System Designmentioning

confidence: 99%

See 1 more Smart Citation

WATTSBurning: Design and Evaluation of an Innovative Eco-Feedback System

Quintal

Pereira

Nunes

et al. 2013

Lecture Notes in Computer Science

Self Cite

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show abstract

“…Therefore, specific appliances can be isolated and their individual consumption calculated using complex signal processing and statistical learning techniques (Zeifman and Roth, 2011). Low cost and non-intrusiveness are the main advantages of the NIML approach thus it was chosen as the building block of the sensing infrastructure that supports this research (Pereira et al, 2012).…”

Section: Measuring Electricitymentioning

confidence: 99%

Exploring the dimensions of eco-feedback in the wild

Quintal¹,

Nunes²,

Nisi³

2015

2015 Sustainable Internet and ICT for Sustainability (SustainIT)

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“…The research team involving civil and electrical engineers, computer scientists, psychologists and designers was responsible for designing, implementing and deploying several low-cost non-intrusive electric energy monitoring systems [5]. These systems were sensing electrical circuits in many households with the goal of providing eco-feedback to the families.…”

Section: Introductionmentioning

confidence: 99%

SustData: A Public Dataset for ICT4S Electric Energy Research

Pereira¹,

Quintal²,

Gonçalves³

et al. 2014

Proceedings of the 2014 Conference ICT for Sustainability

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Abstract-Energy and environmental sustainability can benefit a lot from advances in data mining and machine learning techniques. However, those advances rely on the availability of relevant datasets required to develop, improve and validate new techniques. Only recently the first datasets were made publicly available for the energy and sustainability research community. In this paper we present a freely available dataset containing power usage and related information from 50 homes. Here we describe our dataset, the hardware and software setups used when collecting the data and how others can access it. We then discuss potential uses of this data in the future of energy ecofeedback and demand side management research.

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The design of a hardware-software platform for long-term energy eco-feedback research

Cited by 21 publications

References 14 publications

WATTSBurning: Design and Evaluation of an Innovative Eco-Feedback System

WATTSBurning: Design and Evaluation of an Innovative Eco-Feedback System

Exploring the dimensions of eco-feedback in the wild

SustData: A Public Dataset for ICT4S Electric Energy Research

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