Browsing Faculty of Engineering & Applied Science by Subject "Decision tree classification"
Now showing items 1-1 of 1
-
Analysis and techniques for non-intrusive appliance load monitoring.
(2014-11-01)The increased public awareness of energy conservation and the demand for smart metering system have created interests in home energy monitoring. Load disaggregation using a single sensing point is considered a cost-effective ...