Pascal A. Schirmer

Orcid: 0000-0001-5434-4739

According to our database1, Pascal A. Schirmer authored at least 22 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
PyDTS: A Python Toolkit for Deep Learning Time Series Modelling.
Entropy, April, 2024

2023
Non-Intrusive Load Monitoring: A Review.
IEEE Trans. Smart Grid, 2023

On the non-intrusive extraction of residents' privacy- and security-sensitive information from energy smart meters.
Neural Comput. Appl., 2023

Federated Computing in Electric Vehicles to Predict Coolant Temperature.
Proceedings of the 24th International Middleware Conference Industrial Track, 2023

A Wavelet Scattering Approach for Load Identification with Limited Amount of Training Data.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Double Fourier Integral Analysis Based Convolutional Neural Network Regression for High-Frequency Energy Disaggregation.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

2D Transformations of Energy Signals for Energy Disaggregation.
Sensors, 2022

Estimation of Cooling Circuits' Temperature in Battery Electric Vehicles Using Karhunen Loeve Expansion and LSTM.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Reducing Grid Distortions Utilizing Energy Demand Prediction and Local Storages.
IEEE Access, 2021

Privacy and Security Threats from Smart Meters Technology.
Proceedings of the 2021 International Carnahan Conference on Security Technology, 2021

Multivariate Non-Negative Matrix Factorization with Application to Energy Disaggregation.
Proceedings of the IEEE International Conference on Acoustics, 2021

Low-Frequency Energy Disaggregation based on Active and Reactive Power Signatures.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
Energy Disaggregation Using Elastic Matching Algorithms.
Entropy, 2020

Robust energy disaggregation using appliance-specific temporal contextual information.
EURASIP J. Adv. Signal Process., 2020

Identification of TV Channel Watching from Smart Meter Data Using Energy Disaggregation.
CoRR, 2020

Energy Disaggregation from Low Sampling Frequency Measurements Using Multi-Layer Zero Crossing Rate.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Energy Disaggregation Using Fractional Calculus.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Residential Energy Consumption Prediction Using Inter-Household Energy Data and Socioeconomic Information.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Integration of Temporal Contextual Information for Robust Energy Disaggregation.
Proceedings of the 38th IEEE International Performance Computing and Communications Conference, 2019

Evaluation of Regression Algorithms and Features on the Energy Disaggregation Task.
Proceedings of the 10th International Conference on Information, 2019

Improving Energy Disaggregation Performance Using Appliance-Driven Sampling Rates.
Proceedings of the 27th European Signal Processing Conference, 2019

Evaluation of Regression Algorithms in Residential Energy Consumption Prediction.
Proceedings of the 3rd European Conference on Electrical Engineering and Computer Science, 2019


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