Patrick Huber Mittler Patrick Huber Mittler

Huber Mittler, Patrick; Calatroni, Alberto; Rumsch, Andreas & Paice, Andrew (2021). Review on Deep Neural Networks Applied to Low-Frequency NILM. Energies, 14(9), 2390.

Huber Mittler, Patrick; Friedli, Martin; Paice, Andrew; Rumsch, Andreas & Ott, Melvin (2020). Residential Power Traces for Five Houses: The iHomeLab RAPT Dataset. mdpi data, 5(1), 1-17. doi: 10.3390/data5010017

Voinov, Philippe; Huber Mittler, Patrick; Calatroni, Alberto; Rumsch, Andreas & Paice, Andrew (2020). Effect of Sampling Rate on Photovoltaic Self-Consumption in Load Shifting Simulations. Energies, 2020(20), 5393. doi: 10.3390/en13205393

Huber Mittler, Patrick; Gerber, Mario; Rumsch, Andreas & Paice, Andrew (2018). Prediction of domestic appliances usage based on electrical consumption. Springer Open, 2018(1), 265-271. doi: 10.1186/s42162-018-0035-1

Birrer, Edith; Picard, Cyril; Huber Mittler, Patrick; Bolliger, Daniel & Klapproth, Alexander (2017). Demand response optimized heat pump control for service sector Buildings: A Modular Framework for Simulation and Building Operation. Computer Science Research and Developement, Vol 32(Issue 1-2), 25-34. doi: 10.1007/s00450-016-0320-9

Camenzind, Martin; Huber, Patrick; Rumsch, Andreas & Paice, Andrew (29.10.2020). Design of an Ultra-Low Power Sensor Platform for the Detection of Activities of Daily Living in Residential and Commercial Environments. Energy Informatics 2020, Sierre, Switzerland.