Dusan Jakovetic's research while affiliated with University of Novi Sad and other places

Publications (2)

Article
The large-scale deployment of smart metering worldwide has ignited renewed interest in electrical load disaggregation, or non-intrusive load monitoring (NILM). Most NILM algorithms disaggregate one appliance at a time, remove the estimated appliance contribution from the total load, and then move on to disaggregate the next appliance. On one hand,...
Conference Paper
Most current non-intrusive load monitoring (NILM) algorithms disaggregate one appliance at a time, remove the appliance contribution towards the total load, and then move on to the next appliance. On one hand, this is effective since it avoids multi-class classification, and analytical models for each appliance can be developed independently of oth...

Citations

... Load event (will be referred as "event" later) corresponds to the transition process of any two defined operating states of appliances, which is represented on the aggregated load power profile as a transient segment between two adjacent distinctly different steady-state segments, as shown schematically in Fig. 1. Different from the non-eventbased methods which require inference on all samples of the data, the event-based NILM methods take the load events as the objects of learning and inference, which has the significant advantages of low algorithm complexity and high operation efficiency [6]. Therefore, the event-based solutions are the mainstream choice for NILM technology implementations. ...
... More importantly, future iterations of this work should also consider performance metrics for energy estimation. While only a few authors have addressed the energy estimation step in event-based NILM (Giri & Bergés, 2015;He et al., 2018;Zhao et al., 2016), there are many eventless implementations (e.g., HMM and Deep ANNs) (Gomes & Pereira, 2020;Harell et al., 2019;Makonin, Popowich, et al., 2016;Murray et al., 2019) and public datasets (Pereira & Nunes, 2018) that can serve as a basis for this task. Furthermore, despite there is a category of metrics dedicated to energy estimation, it would be of crucial importance to also evaluate the potential of the metrics under the event detection category to assess the performance of energy estimation algorithms. ...