Evaluation of Regression Algorithms in Residential Energy Consumption Prediction. - Pascal A. Schirmer; Iosif Mporas; Ilyas Potamitis (EECS, 2019)

Improving Energy Disaggregation Performance Using Appliance-Driven Sampling Rates. - Pascal A. Schirmer; Iosif Mporas (EUSIPCO, 2019)

Evaluation of Regression Algorithms and Features on the Energy Disaggregation Task. - Pascal A. Schirmer; Iosif Mporas; Michael Paraskevas (IISA, 2019)

Integration of Temporal Contextual Information for Robust Energy Disaggregation. - Pascal A. Schirmer; Iosif Mporas (IPCCC, 2019)

Residential Energy Consumption Prediction Using Inter-Household Energy Data and Socioeconomic Information. - Pascal A. Schirmer; Christian Geiger 002; Iosif Mporas (EUSIPCO, 2020)

Energy Disaggregation Using Fractional Calculus. - Pascal A. Schirmer; Iosif Mporas (ICASSP, 2020)

Energy Disaggregation from Low Sampling Frequency Measurements Using Multi-Layer Zero Crossing Rate. - Pascal A. Schirmer; Iosif Mporas (ICASSP, 2020)

Identification of TV Channel Watching from Smart Meter Data Using Energy Disaggregation. - Pascal A. Schirmer; Iosif Mporas; Akbar Sheikh Akbari (CoRR, 2020)

Robust energy disaggregation using appliance-specific temporal contextual information. - Pascal A. Schirmer; Iosif Mporas; Akbar Sheikh Akbari (EURASIP J. Adv. Signal Process., 2020)

Energy Disaggregation Using Elastic Matching Algorithms. - Pascal A. Schirmer; Iosif Mporas; Michael Paraskevas (Entropy, 2020)

Low-Frequency Energy Disaggregation based on Active and Reactive Power Signatures. - Pascal A. Schirmer; Iosif Mporas (EUSIPCO, 2021)

Multivariate Non-Negative Matrix Factorization with Application to Energy Disaggregation. - Pascal A. Schirmer; Iosif Mporas (ICASSP, 2021)

Privacy and Security Threats from Smart Meters Technology. - Matthew Robinson; Pascal A. Schirmer; Iosif Mporas (ICCST, 2021)

Reducing Grid Distortions Utilizing Energy Demand Prediction and Local Storages. - Pascal A. Schirmer; Christian Geiger 002; Iosif Mporas (IEEE Access, 2021)

Estimation of Cooling Circuits' Temperature in Battery Electric Vehicles Using Karhunen Loeve Expansion and LSTM. - Marc Sebastián Padrós; Pascal A. Schirmer; Iosif Mporas (EUSIPCO, 2022)

2D Transformations of Energy Signals for Energy Disaggregation. - Pascal A. Schirmer; Iosif Mporas (Sensors, 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)

A Wavelet Scattering Approach for Load Identification with Limited Amount of Training Data. - Pascal A. Schirmer; Iosif Mporas (ICASSP, 2023)

Federated Computing in Electric Vehicles to Predict Coolant Temperature. - René Schwermer; Ekin-Alp Bicer; Pascal A. Schirmer; Ruben Mayer; Hans-Arno Jacobsen (Middleware Industry, 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)

Non-Intrusive Load Monitoring: A Review. - Pascal A. Schirmer; Iosif Mporas (IEEE Trans. Smart Grid, 2023)

PyDTS: A Python Toolkit for Deep Learning Time Series Modelling. - Pascal A. Schirmer; Iosif Mporas (Entropy, 2024)