Janosch Henze
Janosch Henze
Vahvistettu sähköpostiosoite verkkotunnuksessa uni-kassel.de
Nimike
Viittaukset
Viittaukset
Vuosi
Deep Learning for solar power forecasting—An approach using AutoEncoder and LSTM Neural Networks
A Gensler, J Henze, B Sick, N Raabe
2016 IEEE international conference on systems, man, and cybernetics (SMC …, 2016
2222016
Identifying Representative Load Time Series for Load Flow Calculations
J Henze, T Kneiske, M Braun, B Sick
International Workshop on Data Analytics for Renewable Energy Integration, 83-93, 2017
22017
Representation Learning in Power Time Series Forecasting
J Henze, J Schreiber, B Sick
Deep Learning: Algorithms and Applications, 67-101, 2020
12020
Data processing and communication unit for recording patient data in therapy-free intervals
J Henze, C Strohhoefer
US Patent App. 14/688,507, 2015
12015
Probabilistic upscaling and aggregation of wind power forecasts
J Henze, M Siefert, S Bremicker-Trübelhorn, N Asanalieva, B Sick
Energy, Sustainability and Society 10 (1), 1-19, 2020
2020
Forecasting Power Grid States for Regional Energy Markets with Deep Neural Networks
Y He, J Henze, B Sick
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
2020
Device and method for predicting intradialytic parameters
R Atallah, J Henze, C Strohhoefer
US Patent 10,342,910, 2019
2019
Using grid supporting flexibility in electricity distribution networks
I König, E Heilmann, J Henze, K David, H Wetzel, B Sick
INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik–Informatik für …, 2019
2019
Sampling Strategies for Representative Time Series in Load Flow Calculations
J Henze, S Kutzner, B Sick
International Workshop on Data Analytics for Renewable Energy Integration, 27-48, 2018
2018
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–9