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Electrical load disaggregation continues to attract new explorations due to its challenging nature as well as utility. When the loads to be separated are characterized by suitable features, there is a possibility to solve the problem by utilizing the techniques from the emerging area of Graph Signal Processing (GSP). In this paper, we propose a three-staged approach comprising of (i) Event Detection...
Graph Signal Processing (GSP)-based techniques for disaggregation are obtained as a solution of appropriately formulated optimization problem. There is a possibility to work out the intuitive steps behind this solution to gain insights on improvising the existing algorithm and building new ones. In this direction, the paper presents an attempt made to bring out the intuitive explanation of the GSP-based...
Graph Signal Processing is a very active area of research and is being increasingly used for different applications in different domains like vision, sensor networks etc. It deals with processing signals defined on the vertices of a graph which captures the relational dependencies of the signal. Recently, graph signal processing has been applied to source separation problem, in particular, electrical...
Estimation of appliance-specific power consumption from aggregate power signal is an important and challenging problem. The problem is also known as electrical load disaggregation. This paper addresses the problem of identification of refrigerator load, since refrigerators contribute to significant power consumption in domestic scenario. The key idea is to detect events corresponding to refrigerator,...
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