TY - GEN
T1 - Algorithm development for non-intrusive load monitoring for verification and diagnostics
AU - Reeg, Christopher E.
AU - Overbye, Thomas J.
PY - 2010
Y1 - 2010
N2 - Non-intrusive load monitoring (NILM) is a method of detecting the current energy consumption of a building using a single set of sensors on the main building supply. This is in contrast to intrusive monitoring where end use devices are sensed. Building on techniques of previous works, it will be shown that NILM can be implemented on currently available commercial devices and provide meaningful feedback both to the user and supplying utility. Limitations of inexpensive commercial devices such as resolution and measurement accuracy are a challenge. An algorithm currently under development, specifically developed for the low resolution of inexpensive commercial sensor packages, will be discussed and demonstrated. This information can then be used to verify the effectiveness of various smart grid initiatives in addition to other energy saving protocols such as weather proofing and energy efficient appliances. In addition, this information can be used to select devices for distributed control by analyzing not only the type of device but also the real world operating characteristics.
AB - Non-intrusive load monitoring (NILM) is a method of detecting the current energy consumption of a building using a single set of sensors on the main building supply. This is in contrast to intrusive monitoring where end use devices are sensed. Building on techniques of previous works, it will be shown that NILM can be implemented on currently available commercial devices and provide meaningful feedback both to the user and supplying utility. Limitations of inexpensive commercial devices such as resolution and measurement accuracy are a challenge. An algorithm currently under development, specifically developed for the low resolution of inexpensive commercial sensor packages, will be discussed and demonstrated. This information can then be used to verify the effectiveness of various smart grid initiatives in addition to other energy saving protocols such as weather proofing and energy efficient appliances. In addition, this information can be used to select devices for distributed control by analyzing not only the type of device but also the real world operating characteristics.
KW - Load management
KW - Pattern matching
KW - Power system measurements
KW - Power system monitoring
UR - http://www.scopus.com/inward/record.url?scp=78650044058&partnerID=8YFLogxK
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U2 - 10.1109/NAPS.2010.5619600
DO - 10.1109/NAPS.2010.5619600
M3 - Conference contribution
AN - SCOPUS:78650044058
SN - 9781424480463
T3 - North American Power Symposium 2010, NAPS 2010
BT - North American Power Symposium 2010, NAPS 2010
T2 - North American Power Symposium 2010, NAPS 2010
Y2 - 26 September 2010 through 28 September 2010
ER -