activity
20142020
most citedNon-Intrusive Load Monitoring: A Review and Outlook

14 citations · 21 across the 6 of their papers we have counts for

collaborators

7 papers

cs.AI2020★ 2 cited

Exploring Bayesian Surprise to Prevent Overfitting and to Predict Model Performance in Non-Intrusive Load Monitoring

Richard Jones, Christoph Klemenjak, Stephen Makonin +1

Non-Intrusive Load Monitoring (NILM) is a field of research focused on segregating constituent electrical loads in a system based only on their aggregated signal. Significant compu…

cs.OH2020

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…

eess.SP2020

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…

eess.SP2020

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…

cs.LG2019★ 3 cited

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…

cs.OH2016★ 14 cited

Non-Intrusive Load Monitoring: A Review and Outlook

Christoph Klemenjak, Peter Goldsborough

With the roll-out of smart meters the importance of effective non-intrusive load monitoring (NILM) techniques has risen rapidly. NILM estimates the power consumption of individual…

cs.OH2014★ 2 cited

YoMo - The Arduino based Smart Metering Board

Christoph Klemenjak, Dominik Egarter, Wilfried Elmenreich

Smart meters are an enabling technology for many smart grid applications. This paper introduces a design for a low-cost smart meter system as well as the fundamentals of smart mete…