Rules induction-supported random forest for the non-intrusive electrical appliances identification |
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| Piotr Bilski, Wieslaw Winiecki |
- Abstract:
- The paper presents the application of computational intelligence methods to the nonintrusive identification of electrical appliances in the household. The difficulty of the problem calls for implementation more than one algorithm. The presented two-staged methodology monitors the aggregated current level and includes the detection of the change in the state of appliances’ configuration with the subsequent identification of the device responsible for it. The latter uses the random forest as the main classifier and the rules induction algorithm as the supporting method to increase the appliance identification accuracy. The tests conducted on the configuration of two-state appliances show the supremacy of such a combination of classifiers.
- Download:
- IMEKO-TC10-2016-045.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC10
- Event name:
- TC10 Workshop on Technical Diagnostics 2016
- Title:
14th IMEKO TC10 Workshop “New Perspectives in Measurements, Tools and Techniques for system’s reliability, maintainability and safety”
- Place:
- Milano, ITALY
- Time:
- 27 June 2016 - 28 June 2016