Christoph Klemenjak

According to our database, Christoph Klemenjak authored at least 18 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Unlocking the Full Potential of Neural NILM: On Automation, Hyperparameters, and Modular Pipelines.

Hafsa Bousbiat, Anthony Faustine, Christoph Klemenjak, Lucas Pereira, Wilfried Elmenreich

IEEE Trans. Ind. Informatics, May, 2023

2022

Neural NILM Learning Paradigms: From Centralised to Decentralised Learning.

Hafsa Bousbiat, Christoph Klemenjak, Yassine Himeur, Wilfried Elmenreich, Abbes Amira, Wathiq Mansoor, Shadi Atalla

Proceedings of the 5th International Conference on Signal Processing and Information Security, 2022

2021

Adaptive Weighted Recurrence Graphs for Appliance Recognition in Non-Intrusive Load Monitoring.

Anthony Faustine, Lucas Pereira, Christoph Klemenjak

IEEE Trans. Smart Grid, 2021

Investigating the performance gap between testing on real and denoised aggregates in non-intrusive load monitoring.

Christoph Klemenjak, Stephen Makonin, Wilfried Elmenreich

Energy Inform., 2021

2020

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

Richard Jones, Christoph Klemenjak, Stephen Makonin, Ivan V. Bajic

CoRR, 2020

Stop: Exploring Bayesian Surprise to Better Train NILM.

Richard Jones, Christoph Klemenjak, Stephen Makonin, Ivan V. Bajic

Proceedings of the NILM '20, 2020

On the Relationship between Seasons of the Year and Disaggregation Performance.

João Gois, Christoph Klemenjak, Lucas Pereira

Proceedings of the NILM '20, 2020

Exploring Time Series Imaging for Load Disaggregation.

Hafsa Bousbiat, Christoph Klemenjak, Wilfried Elmenreich

Proceedings of the BuildSys '20: The 7th ACM International Conference on Systems for Energy-Efficient Buildings, 2020

Towards Comparability in Non-Intrusive Load Monitoring: On Data and Performance Evaluation.

Christoph Klemenjak, Stephen Makonin, Wilfried Elmenreich

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

Augmenting an Assisted Living Lab with Non-Intrusive Load Monitoring.

Hafsa Bousbiat, Christoph Klemenjak, Gerhard Leitner, Wilfried Elmenreich

Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020

How does Load Disaggregation Performance Depend on Data Characteristics?: Insights from a Benchmarking Study.

Andreas Reinhardt, Christoph Klemenjak

Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020

2019

On Metrics to Assess the Transferability of Machine Learning Models in Non-Intrusive Load Monitoring.

Christoph Klemenjak, Anthony Faustine, Stephen Makonin, Wilfried Elmenreich

CoRR, 2019

Electricity Consumption Data Sets: Pitfalls and Opportunities.

Christoph Klemenjak, Andreas Reinhardt, Lucas Pereira, Stephen Makonin, Mario Bergés, Wilfried Elmenreich

Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, 2019

2018

On performance evaluation and machine learning approaches in non-intrusive load monitoring.

Christoph Klemenjak

Energy Inform., 2018

2017

Yay - an open-hardware energy measurement system for feedback and appliance detection based on the arduino platform.

Christoph Klemenjak, Wilfried Elmenreich

Proceedings of the 13th Workshop on Intelligent Solutions in Embedded Systems, 2017

On the applicability of correlation filters for appliance detection in smart meter readings.

Christoph Klemenjak, Wilfried Elmenreich

Proceedings of the 2017 IEEE International Conference on Smart Grid Communications, 2017

2016

YoMo: the Arduino-based smart metering board.

Christoph Klemenjak, Dominik Egarter, Wilfried Elmenreich

Comput. Sci. Res. Dev., 2016

Non-intrusive load monitoring: A review and outlook.

Christoph Klemenjak, Peter Goldsborough

Proceedings of the 46. Jahrestagung der Gesellschaft für Informatik, 2016