Christoph Klemenjak

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 22

Top Topics

Assisted Living

Top Venues

BuildSys@SenSys

Publications

Hafsa Bousbiat, Anthony Faustine, Christoph Klemenjak, Lucas Pereira, Wilfried Elmenreich
Unlocking the Full Potential of Neural NILM: On Automation, Hyperparameters, and Modular Pipelines. IEEE Trans. Ind. Informatics 19 (5) (2023)
Hafsa Bousbiat, Christoph Klemenjak, Yassine Himeur, Wilfried Elmenreich, Abbes Amira, Wathiq Mansoor, Shadi Atalla
Neural NILM Learning Paradigms: From Centralised to Decentralised Learning. ICSPIS (2022)
Christoph Klemenjak, Stephen Makonin, Wilfried Elmenreich
Investigating the performance gap between testing on real and denoised aggregates in non-intrusive load monitoring. Energy Inform. 4 (1) (2021)
Anthony Faustine, Lucas Pereira, Christoph Klemenjak
Adaptive Weighted Recurrence Graphs for Appliance Recognition in Non-Intrusive Load Monitoring. IEEE Trans. Smart Grid 12 (1) (2021)
Hafsa Bousbiat, Christoph Klemenjak, Gerhard Leitner, Wilfried Elmenreich
Augmenting an Assisted Living Lab with Non-Intrusive Load Monitoring. I2MTC (2020)
Christoph Klemenjak, Stephen Makonin, Wilfried Elmenreich
Towards Comparability in Non-Intrusive Load Monitoring: On Data and Performance Evaluation. ISGT (2020)
João Gois, Christoph Klemenjak, Lucas Pereira
On the Relationship between Seasons of the Year and Disaggregation Performance. NILM@SenSys (2020)
Richard Jones, Christoph Klemenjak, Stephen Makonin, Ivan V. Bajic
Stop: Exploring Bayesian Surprise to Better Train NILM. NILM@SenSys (2020)
Andreas Reinhardt, Christoph Klemenjak
How does Load Disaggregation Performance Depend on Data Characteristics?: Insights from a Benchmarking Study. e-Energy (2020)
Hafsa Bousbiat, Christoph Klemenjak, Gerhard Leitner, Wilfried Elmenreich
Augmenting an Assisted Living Lab with Non-Intrusive Load Monitoring. CoRR (2020)
Richard Jones, Christoph Klemenjak, Stephen Makonin, Ivan V. Bajic
Exploring Bayesian Surprise to Prevent Overfitting and to Predict Model Performance in Non-Intrusive Load Monitoring. CoRR (2020)
Christoph Klemenjak, Stephen Makonin, Wilfried Elmenreich
Towards Comparability in Non-Intrusive Load Monitoring: On Data and Performance Evaluation. CoRR (2020)
Hafsa Bousbiat, Christoph Klemenjak, Wilfried Elmenreich
Exploring Time Series Imaging for Load Disaggregation. BuildSys@SenSys (2020)
Christoph Klemenjak, Stephen Makonin, Wilfried Elmenreich
Investigating the Performance Gap between Testing on Real and Denoised Aggregates in Non-Intrusive Load Monitoring. CoRR (2020)
Christoph Klemenjak, Andreas Reinhardt, Lucas Pereira, Stephen Makonin, Mario Bergés, Wilfried Elmenreich
Electricity Consumption Data Sets: Pitfalls and Opportunities. BuildSys@SenSys (2019)
Christoph Klemenjak, Anthony Faustine, Stephen Makonin, Wilfried Elmenreich
On Metrics to Assess the Transferability of Machine Learning Models in Non-Intrusive Load Monitoring. CoRR (2019)
Christoph Klemenjak
On performance evaluation and machine learning approaches in non-intrusive load monitoring. Energy Inform. 1 (S1) (2018)
Christoph Klemenjak, Wilfried Elmenreich
On the applicability of correlation filters for appliance detection in smart meter readings. SmartGridComm (2017)
Christoph Klemenjak, Wilfried Elmenreich
Yay - an open-hardware energy measurement system for feedback and appliance detection based on the arduino platform. WISES (2017)
Christoph Klemenjak, Peter Goldsborough
Non-intrusive load monitoring: A review and outlook. GI-Jahrestagung (2016)
Christoph Klemenjak, Dominik Egarter, Wilfried Elmenreich
YoMo: the Arduino-based smart metering board. Comput. Sci. Res. Dev. 31 (1-2) (2016)
Christoph Klemenjak, Peter Goldsborough
Non-Intrusive Load Monitoring: A Review and Outlook. CoRR (2016)
Christoph Klemenjak, Dominik Egarter, Wilfried Elmenreich
YoMo - The Arduino based Smart Metering Board. CoRR (2014)