Circuit-Level Load Monitoring for Household Energy Management

Circuit-level nonintrusive load monitoring can overcome some of the basic problems relative to whole-house NILM, enabling sophisticated energy-monitoring applications. The two proposed approaches demonstrate the effectiveness of this technique. Here, we describe two approaches for circuit-level NILM...

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Published in:IEEE pervasive computing Vol. 10; no. 1; pp. 40 - 48
Main Authors: Marchiori, A, Hakkarinen, D, Qi Han, Earle, L
Format: Journal Article
Language:English
Published: New York IEEE 01-01-2011
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Abstract Circuit-level nonintrusive load monitoring can overcome some of the basic problems relative to whole-house NILM, enabling sophisticated energy-monitoring applications. The two proposed approaches demonstrate the effectiveness of this technique. Here, we describe two approaches for circuit-level NILM that enable detailed, practical household energy monitoring: a heuristic-based approach and a Bayesian approach. Both address the limitations of previous NILM algorithms by considering steady-state power use in addition to step changes in steady-state power use and by using circuit-level energy measurements. Using the historical steady-state energy use pattern for each device lets us more precisely classify each edge and eliminate some cases of indistinguishable step changes. By measuring energy use at the circuit level, we can overcome the inability of whole-house NILM to monitor small or variable-power devices. This is because there are fewer devices on each circuit and high-powered devices (such as a stove, hot-water heater, air conditioner, and clothes dryer) each receive dedicated circuits and won't overshadow lower-powered devices (such as LVs, radios, and cell phone chargers).
AbstractList The first requirement for any intelligent household energy management system is to accurately measure home energy use. Whole-home energy measurement is cheap and easy to set up because it requires only one sensor where the home connects to the power grid. The collected data can provide useful information for large appliances. However, the only way to monitor smaller devices' energy use is to install an energy meter on every device. This creates a detailed picture of household energy consumption but requires much additional hardware--one meter per device in the home. An alternative, more practical, approach to monitor household energy use includes small devices by using circuit-level power measurements. Two proposed algorithms disaggregate the circuit-level data into device-level estimates. An evaluation of these algorithms produced an average error of less than 5.35 percent for each device. So, they enable the development of highly intelligent automated energy management systems.
Circuit-level nonintrusive load monitoring can overcome some of the basic problems relative to whole-house NILM, enabling sophisticated energy-monitoring applications. The two proposed approaches demonstrate the effectiveness of this technique. Here, we describe two approaches for circuit-level NILM that enable detailed, practical household energy monitoring: a heuristic-based approach and a Bayesian approach. Both address the limitations of previous NILM algorithms by considering steady-state power use in addition to step changes in steady-state power use and by using circuit-level energy measurements. Using the historical steady-state energy use pattern for each device lets us more precisely classify each edge and eliminate some cases of indistinguishable step changes. By measuring energy use at the circuit level, we can overcome the inability of whole-house NILM to monitor small or variable-power devices. This is because there are fewer devices on each circuit and high-powered devices (such as a stove, hot-water heater, air conditioner, and clothes dryer) each receive dedicated circuits and won't overshadow lower-powered devices (such as LVs, radios, and cell phone chargers).
Author Qi Han
Hakkarinen, D
Marchiori, A
Earle, L
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Snippet Circuit-level nonintrusive load monitoring can overcome some of the basic problems relative to whole-house NILM, enabling sophisticated energy-monitoring...
The first requirement for any intelligent household energy management system is to accurately measure home energy use. Whole-home energy measurement is cheap...
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SubjectTerms Algorithms
circuit-level load monitoring
Circuits
Devices
ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
Energy consumption
energy management
Energy management systems
Energy measurement
energy savings
Energy use
heuristic approach
Histograms
household energy monitoring
Households
load monitoring
Meters
Monitoring
Monitors
NILM
nonintrusive load monitoring
pervasive computing
Power measurement
Smart homes
Steady-state
ubiquitous computing
Title Circuit-Level Load Monitoring for Household Energy Management
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Volume 10
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