Pascal A. Schirmer

According to our database, Pascal A. Schirmer authored at least 22 papers between 2019 and 2024.

Collaborative distances:

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

2024

PyDTS: A Python Toolkit for Deep Learning Time Series Modelling.

Pascal A. Schirmer, Iosif Mporas

Entropy, April, 2024

2023

Non-Intrusive Load Monitoring: A Review.

Pascal A. Schirmer, Iosif Mporas

IEEE Trans. Smart Grid, 2023

On the non-intrusive extraction of residents' privacy- and security-sensitive information from energy smart meters.

Pascal A. Schirmer, Iosif Mporas

Neural Comput. Appl., 2023

Federated Computing in Electric Vehicles to Predict Coolant Temperature.

René Schwermer, Ekin-Alp Bicer, Pascal A. Schirmer, Ruben Mayer, Hans-Arno Jacobsen

Proceedings of the 24th International Middleware Conference Industrial Track, 2023

A Wavelet Scattering Approach for Load Identification with Limited Amount of Training Data.

Pascal A. Schirmer, Iosif Mporas

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Double Fourier Integral Analysis Based Convolutional Neural Network Regression for High-Frequency Energy Disaggregation.

Pascal A. Schirmer, Iosif Mporas

IEEE Trans. Emerg. Top. Comput. Intell., 2022

2D Transformations of Energy Signals for Energy Disaggregation.

Pascal A. Schirmer, Iosif Mporas

Sensors, 2022

Estimation of Cooling Circuits' Temperature in Battery Electric Vehicles Using Karhunen Loeve Expansion and LSTM.

Marc Sebastián Padrós, Pascal A. Schirmer, Iosif Mporas

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Reducing Grid Distortions Utilizing Energy Demand Prediction and Local Storages.

Pascal A. Schirmer, Christian Geiger, Iosif Mporas

IEEE Access, 2021

Privacy and Security Threats from Smart Meters Technology.

Matthew Robinson, Pascal A. Schirmer, Iosif Mporas

Proceedings of the 2021 International Carnahan Conference on Security Technology, 2021

Multivariate Non-Negative Matrix Factorization with Application to Energy Disaggregation.

Pascal A. Schirmer, Iosif Mporas

Proceedings of the IEEE International Conference on Acoustics, 2021

Low-Frequency Energy Disaggregation based on Active and Reactive Power Signatures.

Pascal A. Schirmer, Iosif Mporas

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Energy Disaggregation Using Elastic Matching Algorithms.

Pascal A. Schirmer, Iosif Mporas, Michael Paraskevas

Entropy, 2020

Robust energy disaggregation using appliance-specific temporal contextual information.

Pascal A. Schirmer, Iosif Mporas, Akbar Sheikh Akbari

EURASIP J. Adv. Signal Process., 2020

Identification of TV Channel Watching from Smart Meter Data Using Energy Disaggregation.

Pascal A. Schirmer, Iosif Mporas, Akbar Sheikh Akbari

CoRR, 2020

Energy Disaggregation from Low Sampling Frequency Measurements Using Multi-Layer Zero Crossing Rate.

Pascal A. Schirmer, Iosif Mporas

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Energy Disaggregation Using Fractional Calculus.

Pascal A. Schirmer, Iosif Mporas

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Residential Energy Consumption Prediction Using Inter-Household Energy Data and Socioeconomic Information.

Pascal A. Schirmer, Christian Geiger, Iosif Mporas

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Integration of Temporal Contextual Information for Robust Energy Disaggregation.

Pascal A. Schirmer, Iosif Mporas

Proceedings of the 38th IEEE International Performance Computing and Communications Conference, 2019

Evaluation of Regression Algorithms and Features on the Energy Disaggregation Task.

Pascal A. Schirmer, Iosif Mporas, Michael Paraskevas

Proceedings of the 10th International Conference on Information, 2019

Improving Energy Disaggregation Performance Using Appliance-Driven Sampling Rates.

Pascal A. Schirmer, Iosif Mporas

Proceedings of the 27th European Signal Processing Conference, 2019

Evaluation of Regression Algorithms in Residential Energy Consumption Prediction.

Pascal A. Schirmer, Iosif Mporas, Ilyas Potamitis

Proceedings of the 3rd European Conference on Electrical Engineering and Computer Science, 2019