Energy feedback enabled by load disaggregation

Research output: Contribution to conferenceAbstract

Abstract

Motivated by recent advances in load disaggregation, we discuss innovative tools for understanding household appliance energy consumption and patterns of appliance use for energy feedback generation, developed as part of the EPSRC REFIT project. We show how analytical tools applied on disaggregated data can lead to a variety of energy feedback ranging from appliance usage patterns analysis, appliance upgrade/retrofit advice, opportunities for load shifting and assessing tariff suitability, and understanding household routines through time use and energy consumption studies of daily activities in the home, such as cooking or laundering. Our analysis is based on the publicly-available REFIT electrical measurements dataset that was populated by a 2-year longitudinal study in UK houses and is supplemented by qualitative data. Namely, we collected electricity data, aggregate data and individual appliance consumption, with an 8-second sampling rate for active power, similar to that provided by a Consumer Access Device that reads measurements from a smart meter directly. This implies that our feedback generation approaches could potentially be used in conjunction with smart meters that will be present in all UK homes by 2020. Furthermore, we summarise the findings collected during exit interviews from the test households about the usefulness of smart metering and energy feedback.

Fingerprint

Smart meters
Feedback
Energy utilization
Laundering
Domestic appliances
Cooking
Electricity
Sampling

Keywords

  • load disaggregation
  • energy feedback
  • smart meters
  • Non-intrusive appliance load monitoring
  • NILM

Cite this

Stankovic, L., Stankovic, V., Murray, D., & Liao, J. (2016). Energy feedback enabled by load disaggregation. 78-84. Abstract from 1st Energy Feedback Symposium, Edinburgh, United Kingdom.
Stankovic, Lina ; Stankovic, Vladimir ; Murray, David ; Liao, Jing. / Energy feedback enabled by load disaggregation. Abstract from 1st Energy Feedback Symposium, Edinburgh, United Kingdom.7 p.
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title = "Energy feedback enabled by load disaggregation",
abstract = "Motivated by recent advances in load disaggregation, we discuss innovative tools for understanding household appliance energy consumption and patterns of appliance use for energy feedback generation, developed as part of the EPSRC REFIT project. We show how analytical tools applied on disaggregated data can lead to a variety of energy feedback ranging from appliance usage patterns analysis, appliance upgrade/retrofit advice, opportunities for load shifting and assessing tariff suitability, and understanding household routines through time use and energy consumption studies of daily activities in the home, such as cooking or laundering. Our analysis is based on the publicly-available REFIT electrical measurements dataset that was populated by a 2-year longitudinal study in UK houses and is supplemented by qualitative data. Namely, we collected electricity data, aggregate data and individual appliance consumption, with an 8-second sampling rate for active power, similar to that provided by a Consumer Access Device that reads measurements from a smart meter directly. This implies that our feedback generation approaches could potentially be used in conjunction with smart meters that will be present in all UK homes by 2020. Furthermore, we summarise the findings collected during exit interviews from the test households about the usefulness of smart metering and energy feedback.",
keywords = "load disaggregation, energy feedback, smart meters, Non-intrusive appliance load monitoring, NILM",
author = "Lina Stankovic and Vladimir Stankovic and David Murray and Jing Liao",
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note = "1st Energy Feedback Symposium : “Feedback in Energy Demand Reduction: Examining Evidence and Exploring Opportunities” ; Conference date: 04-07-2016 Through 05-07-2016",
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Stankovic, L, Stankovic, V, Murray, D & Liao, J 2016, 'Energy feedback enabled by load disaggregation' 1st Energy Feedback Symposium, Edinburgh, United Kingdom, 4/07/16 - 5/07/16, pp. 78-84.

Energy feedback enabled by load disaggregation. / Stankovic, Lina; Stankovic, Vladimir; Murray, David; Liao, Jing.

2016. 78-84 Abstract from 1st Energy Feedback Symposium, Edinburgh, United Kingdom.

Research output: Contribution to conferenceAbstract

TY - CONF

T1 - Energy feedback enabled by load disaggregation

AU - Stankovic, Lina

AU - Stankovic, Vladimir

AU - Murray, David

AU - Liao, Jing

PY - 2016/7/4

Y1 - 2016/7/4

N2 - Motivated by recent advances in load disaggregation, we discuss innovative tools for understanding household appliance energy consumption and patterns of appliance use for energy feedback generation, developed as part of the EPSRC REFIT project. We show how analytical tools applied on disaggregated data can lead to a variety of energy feedback ranging from appliance usage patterns analysis, appliance upgrade/retrofit advice, opportunities for load shifting and assessing tariff suitability, and understanding household routines through time use and energy consumption studies of daily activities in the home, such as cooking or laundering. Our analysis is based on the publicly-available REFIT electrical measurements dataset that was populated by a 2-year longitudinal study in UK houses and is supplemented by qualitative data. Namely, we collected electricity data, aggregate data and individual appliance consumption, with an 8-second sampling rate for active power, similar to that provided by a Consumer Access Device that reads measurements from a smart meter directly. This implies that our feedback generation approaches could potentially be used in conjunction with smart meters that will be present in all UK homes by 2020. Furthermore, we summarise the findings collected during exit interviews from the test households about the usefulness of smart metering and energy feedback.

AB - Motivated by recent advances in load disaggregation, we discuss innovative tools for understanding household appliance energy consumption and patterns of appliance use for energy feedback generation, developed as part of the EPSRC REFIT project. We show how analytical tools applied on disaggregated data can lead to a variety of energy feedback ranging from appliance usage patterns analysis, appliance upgrade/retrofit advice, opportunities for load shifting and assessing tariff suitability, and understanding household routines through time use and energy consumption studies of daily activities in the home, such as cooking or laundering. Our analysis is based on the publicly-available REFIT electrical measurements dataset that was populated by a 2-year longitudinal study in UK houses and is supplemented by qualitative data. Namely, we collected electricity data, aggregate data and individual appliance consumption, with an 8-second sampling rate for active power, similar to that provided by a Consumer Access Device that reads measurements from a smart meter directly. This implies that our feedback generation approaches could potentially be used in conjunction with smart meters that will be present in all UK homes by 2020. Furthermore, we summarise the findings collected during exit interviews from the test households about the usefulness of smart metering and energy feedback.

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KW - smart meters

KW - Non-intrusive appliance load monitoring

KW - NILM

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M3 - Abstract

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ER -

Stankovic L, Stankovic V, Murray D, Liao J. Energy feedback enabled by load disaggregation. 2016. Abstract from 1st Energy Feedback Symposium, Edinburgh, United Kingdom.