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Pascal A. Schirmer
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2020 – today
- 2024
- [j8]Pascal A. Schirmer, Iosif Mporas:
PyDTS: A Python Toolkit for Deep Learning Time Series Modelling. Entropy 26(4): 311 (2024) - 2023
- [j7]Pascal A. Schirmer, Iosif Mporas:
On the non-intrusive extraction of residents' privacy- and security-sensitive information from energy smart meters. Neural Comput. Appl. 35(1): 119-132 (2023) - [j6]Pascal A. Schirmer, Iosif Mporas:
Non-Intrusive Load Monitoring: A Review. IEEE Trans. Smart Grid 14(1): 769-784 (2023) - [c13]Pascal A. Schirmer, Iosif Mporas:
A Wavelet Scattering Approach for Load Identification with Limited Amount of Training Data. ICASSP 2023: 1-5 - [c12]René Schwermer, Ekin-Alp Bicer, Pascal A. Schirmer, Ruben Mayer, Hans-Arno Jacobsen:
Federated Computing in Electric Vehicles to Predict Coolant Temperature. Middleware Industry 2023: 8-14 - 2022
- [j5]Pascal A. Schirmer, Iosif Mporas:
2D Transformations of Energy Signals for Energy Disaggregation. Sensors 22(19): 7200 (2022) - [j4]Pascal A. Schirmer, Iosif Mporas:
Double Fourier Integral Analysis Based Convolutional Neural Network Regression for High-Frequency Energy Disaggregation. IEEE Trans. Emerg. Top. Comput. Intell. 6(3): 439-449 (2022) - [c11]Marc Sebastián Padrós, Pascal A. Schirmer, Iosif Mporas:
Estimation of Cooling Circuits' Temperature in Battery Electric Vehicles Using Karhunen Loeve Expansion and LSTM. EUSIPCO 2022: 1546-1550 - 2021
- [j3]Pascal A. Schirmer, Christian Geiger, Iosif Mporas:
Reducing Grid Distortions Utilizing Energy Demand Prediction and Local Storages. IEEE Access 9: 15122-15132 (2021) - [c10]Pascal A. Schirmer, Iosif Mporas:
Low-Frequency Energy Disaggregation based on Active and Reactive Power Signatures. EUSIPCO 2021: 1426-1430 - [c9]Pascal A. Schirmer, Iosif Mporas:
Multivariate Non-Negative Matrix Factorization with Application to Energy Disaggregation. ICASSP 2021: 3285-3289 - [c8]Matthew Robinson, Pascal A. Schirmer, Iosif Mporas:
Privacy and Security Threats from Smart Meters Technology. ICCST 2021: 1-6 - 2020
- [j2]Pascal A. Schirmer, Iosif Mporas, Akbar Sheikh Akbari:
Robust energy disaggregation using appliance-specific temporal contextual information. EURASIP J. Adv. Signal Process. 2020(1): 3 (2020) - [j1]Pascal A. Schirmer, Iosif Mporas, Michael Paraskevas:
Energy Disaggregation Using Elastic Matching Algorithms. Entropy 22(1): 71 (2020) - [c7]Pascal A. Schirmer, Christian Geiger, Iosif Mporas:
Residential Energy Consumption Prediction Using Inter-Household Energy Data and Socioeconomic Information. EUSIPCO 2020: 1595-1599 - [c6]Pascal A. Schirmer, Iosif Mporas:
Energy Disaggregation Using Fractional Calculus. ICASSP 2020: 3257-3261 - [c5]Pascal A. Schirmer, Iosif Mporas:
Energy Disaggregation from Low Sampling Frequency Measurements Using Multi-Layer Zero Crossing Rate. ICASSP 2020: 3777-3781 - [i1]Pascal A. Schirmer, Iosif Mporas, Akbar Sheikh Akbari:
Identification of TV Channel Watching from Smart Meter Data Using Energy Disaggregation. CoRR abs/2007.00326 (2020)
2010 – 2019
- 2019
- [c4]Pascal A. Schirmer, Iosif Mporas, Ilyas Potamitis:
Evaluation of Regression Algorithms in Residential Energy Consumption Prediction. EECS 2019: 22-25 - [c3]Pascal A. Schirmer, Iosif Mporas:
Improving Energy Disaggregation Performance Using Appliance-Driven Sampling Rates. EUSIPCO 2019: 1-5 - [c2]Pascal A. Schirmer, Iosif Mporas, Michael Paraskevas:
Evaluation of Regression Algorithms and Features on the Energy Disaggregation Task. IISA 2019: 1-4 - [c1]Pascal A. Schirmer, Iosif Mporas:
Integration of Temporal Contextual Information for Robust Energy Disaggregation. IPCCC 2019: 1-6
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last updated on 2024-08-29 21:52 CEST by the dblp team
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