The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Transient event detection in spectral envelope estimates for nonintrusive load monitoring
Abstract
This paper describes the theoretical foundation and prototype implementation of a power system transient event detector for use in a nonintrusive load monitor (NILM). The NILM determines the operating schedule of the major electrical loads in a building from measurements made at the electric utility service entry. The transient event detector extends the applicability of the NILM to challenging commercial and industrial sites. A spectral preprocessor for use in the transient event detector is introduced first. Then, the transient event detection algorithm is developed. The performance of the algorithm is illustrated with results from a prototype event detector.>
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Cites
A theory for multiresolution signal decomposition: the wavelet representation
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Nonintrusive appliance load monitoring
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Generalized averaging method for power conversion circuits
Sanders, S. R., Noworolski, J. M., Liu, X. Z., & Verghese, G. C. (1991) · IEEE Transactions on Power Electronics · doi:10.1109/63.76811 · Cited by 1,205
Multirate digital filters, filter banks, polyphase networks, and applications: a tutorial
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Circuits, Signals, and Systems
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Detection of Abrupt Changes in Signals and Dynamical Systems
(1985) · Lecture Notes in Control and Information Sciences · doi:10.1007/bfb0006385 · Cited by 330
Using appliance signatures for monitoring residential loads at meter panel level
Sultanem, F. (1991) · IEEE Transactions on Power Delivery · doi:10.1109/61.97667 · Cited by 209
Applications of digital signal processing
Peterson, A. M. (1979) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/tassp.1979.1163229 · Cited by 73
Cited by
Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey
Zoha, A., Gluhak, A., Imran, M., & Rajasegarar, S. (2012) · Sensors · doi:10.3390/s121216838 · Cited by 954
Neural NILM: Deep Neural Networks Applied to Energy Disaggregation
Kelly, J., & Knottenbelt, W. (2015) · Proceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments · doi:10.1145/2821650.2821672 · Cited by 891
Is disaggregation the holy grail of energy efficiency? The case of electricity
Carrie Armel, K., Gupta, A., Shrimali, G., & Albert, A. (2013) · Energy Policy · doi:10.1016/j.enpol.2012.08.062 · Cited by 595
Laughman, C., Lee, K., Cox, R., Shaw, S., Leeb, S., Norford, L., & Armstrong, P. (2003) · IEEE Power and Energy Magazine · doi:10.1109/mpae.2003.1192027 · Cited by 572
Self-citationNorford, L. K., & Leeb, S. B. (1996) · Energy and Buildings · doi:10.1016/0378-7788(95)00958-2 · Cited by 323
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Metadata
- Authors
- Leeb, S. B., Shaw, S. R., & Kirtley, J. L.
- Venue
- IEEE Transactions on Power Delivery
- Published
- 1995-07
- Volume
- 10
- Issue
- 3
- Pages
- 1200-1210
- ISSN
- 0885-8977 (ISSN-L)
- OpenAlex
- W2075901867
- Cited by
- 311
- References
- 8
- FWCI
- 2.40
- Type
- journal article
- Language
- en
- Open access
- closed
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- Leeb, S. B., Shaw, S. R., & Kirtley, J. L. (1995). Transient event detection in spectral envelope estimates for nonintrusive load monitoring. IEEE Transactions on Power Delivery. https://doi.org/10.1109/61.400897
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