Automatic Time Series Segmentation as the Basis for Unsupervised, Non-Intrusive Load Monitoring of Machine Tools JP Seevers, J Johst, T Weiß, H Meschede, J Hesselbach Procedia CIRP 81, 695-700, 2019 | 23 | 2019 |
System efficient integration of standby control and heat pump storage systems in manufacturing processes F Schlosser, JP Seevers, RH Peesel, TG Walmsley Energy 181, 395-406, 2019 | 15 | 2019 |
Renewable Energy Integration for Steam Supply of Industrial Processes—A Food Processing Case Study RH Hechelmann, JP Seevers, A Otte, J Sponer, M Stark Energies 13 (10), 2532, 2020 | 14 | 2020 |
Automatic Detection of Manufacturing Equipment Cycles Using Time Series JP Seevers, K Jurczyk, H Meschede, J Hesselbach, JW Sutherland Journal of Computing and Information Science in Engineering 20 (3), 2020 | 7 | 2020 |
Dimensioning of heat pump systems based on pinch analysis and energy monitoring data JP Seevers, F Schlosser, RH Peesel, J Hesselbach | 6 | 2018 |
Integration of Heat Pump Storage Systems in Manufacturing Systems via Data Farming and Monte Carlo Simulation JP Seevers, F Schlosser CHEMICAL ENGINEERING 76, 2019 | 3 | 2019 |
Signal based non-intrusive load decomposition T Weiß, H Dunkelberg, JP Seevers Procedia Manufacturing 33, 554-561, 2019 | 2 | 2019 |
Automatisierte Mustererkennung in Zeitreihen zur selbstlernenden Leistungsüberwachung von Produktionsanlagen JP Seevers kassel university press, 2020 | 1 | 2020 |