This is the first of a two part study of domestic appliance load signatures. The authors spend the bulk of this article defining concepts and mathematical terms which are built upon in subsequent sections. A description of existing load concepts, signature features and disaggregation methods was given, each of which was assigned an acronym to aid identification.
The paper's contribution lies in the proposal of:
- Committee Decision Mechanisms - methods which combine various feature extraction and classification methods in order find the best final solution.
- Disaggregation algorithm accuracy measures - metrics which can be used to evaluate the individual accuracy of event detection or classification, or the combination of the two.
- Appliance signature similarity measures - metrics which can be used to compare the similarity between various signatures.
- Disaggregation algorithm Complementary Ratio - metrics which can be used to calculate whether a disaggregation algorithm adds any additional information to that given by a second disaggregation algorithm.
I am now planning to read the second part of this study:
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