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Load Signature Study—Part I: Basic Concept, Structure, and Methodology

IEEE Transactions on Power Delivery · 2009 · Vol. 25(2) · pp. 551–560
Jian LiangSimon K. K. NgGail KendallJohn W. M. Cheng

Abstract

Load signature is the unique consumption pattern intrinsic to each individual electrical appliance/piece of equipment. This paper focus on building a universal platform to better understand and explore the nature of electricity consumption patterns using load signatures and advanced technology, such as feature extraction and intelligent computing. Through this knowledge, we can explore and develop innovative applications to achieve better utilization of resources and develop more intelligent ways of operation. This paper depicts the basic concept, features of load signatures, structure and methodology of applying mathematical programming techniques, pattern recognition tools, and committee decision mechanism to perform load disaggregation. New indices are also introduced to aid our understanding of the nature of load signatures and different disaggregation algorithms.

Smart Grid Energy ManagementEnergy Load and Power ForecastingSmart Grid Security and ResilienceSignature (topology)Computer scienceFocus (optics)ElectricityLoad managementMechanism (biology)Artificial intelligenceData miningEngineeringElectrical engineering
Citations
435
FWCI
12.47
field-weighted impact
References
15
Percentile
99%
vs. same field & year
Citations per year
References
Nonintrusive appliance load monitoring
Proceedings of the IEEE · 1992 · 3,066 citations
Neural-Network-Based Signature Recognition for Harmonic Source Identification
IEEE Transactions on Power Delivery · 2005 · 444 citations
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