44 citations · 47 across the 5 of their papers we have counts for
9 papers
A review on physical and data-driven based nowcasting methods using sky images
Ekanki Sharma, Wilfried Elmenreich
Amongst all the renewable energy resources (RES), solar is the most popular form of energy source and is of particular interest for its widely integration into the power grid. Howe…
Investigating the Performance Gap between Testing on Real and Denoised Aggregates in Non-Intrusive Load Monitoring
Christoph Klemenjak, Stephen Makonin, Wilfried Elmenreich
Prudent and meaningful performance evaluation of algorithms is essential for the progression of any research field. In the field of Non-Intrusive Load Monitoring (NILM), performanc…
Dynamic residential load scheduling based on an adaptive consumption level pricing scheme
Haider Tarish Haider, Ong Hang See, W. Elmenreich
Demand response (DR) for smart grids, which intends to balance the required power demand with the available supply resources, has been gaining widespread attention. The growing dem…
Augmenting an Assisted Living Lab with Non-Intrusive Load Monitoring
Hafsa Bousbiat, Christoph Klemenjak, Gerhard Leitner +1
The need for reducing our energy consumption footprint and the increasing number of electric devices in today's homes is calling for new solutions that allow users to efficiently m…
Towards Comparability in Non-Intrusive Load Monitoring: On Data and Performance Evaluation
Christoph Klemenjak, Stephen Makonin, Wilfried Elmenreich
Non-Intrusive Load Monitoring (NILM) comprises of a set of techniques that provide insights into the energy consumption of households and industrial facilities. Latest contribution…
On Metrics to Assess the Transferability of Machine Learning Models in Non-Intrusive Load Monitoring
Christoph Klemenjak, Anthony Faustine, Stephen Makonin +1
To assess the performance of load disaggregation algorithms it is common practise to train a candidate algorithm on data from one or multiple households and subsequently apply cros…