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

By Jian Liang, Simon K. K. Ng, Gail Kendall, John W. M. Cheng. IEEE Transactions on Power Delivery, 2010

487 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/98b215f00a32334f8a1ebdc97ca2e636befc4acb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Tao Huang
2. Kurt Roth
3. Michael Zeifman
4. Ettore Francesco Bompard
5. Yang Zhang

In Electrical and Electronic Engineering

1. Muhammad Ali Imran
2. Ahmed Zoha
3. Alexander D. Gluhak
4. Sutharshan Rajasegarar
5. Tao Huang
6. Kurt Roth
7. Michael Zeifman
8. Ettore Francesco Bompard

Citations in the corpus

• Nonintrusive appliance load monitoring: Review and outlook (2011, methodology): “To the best of our knowledge, only reference [34] systematically considers the problem of accuracy characterization in NIALM algorithms.”
• Big data analytics in smart grids: a review (2018, background): “Unlike direct appliance monitoring framework, the NILM from only one smart meter installed in the house is easier to be accepted by the customers (Liang et al., 2010a; Liang et al., 2010b; Gillis et al., 2016).”
• Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey (2012, methodology): “[18] have addressed this issue and suggested 494 three accuracy measures to be used for performance evaluation: Detection accuracy, disaggregation 495 accuracy, and overall accuracy.”