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Huber Mittler Patrick HSLU T&A
Senior Research Associate
www.hslu.ch
Room P9 Technikumstrasse 21 6048 Horw
+41 41 349 39 87
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KnowlEDGE
Smart Maintenance 4.0
FAST - FIT Algorithms for Smart Training
Artificial Intelligence for Power Systems
enerFACEpredict - energy consumtion prediction with human interaction
NILMplus
Smart-Meter-Daten besser nutzen dank maschinellem Lernen
User centric building energy management
SmartNIALMeter – Smart Load Disaggregation with Smart Meter
NILM for load and peak load management
NILM@I: Non-Intrusive Load Monitoring for industrial applications
WizEE
Verein Innovationspark Zentralschweiz
Future Energy Efficient Buildings & Districts (FEEB&D)
SCCER FEEBD
Phase-change dispersions
NODES - PIM
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Voinov, Philippe; Huber Mittler, Patrick; Calatroni, Alberto; Rumsch, Andreas & Paice, Andrew (15.10.2020). Effect of Sampling Rate on Photovoltaic Self-Consumption in Load Shifting Simulations. Energies, 2020(20), 5393. doi: 10.3390/en13205393
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
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.