Seuraa
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
7022016
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
132020
Representation Learning in Power Time Series Forecasting
J Henze, J Schreiber, B Sick
Deep Learning: Algorithms and Applications, 67-101, 2020
122020
Continuous Learning of Deep Neural Networks to Improve Forecasts for Regional Energy Markets
Y He, J Henze, B Sick
IFAC-PapersOnLine 53 (2), 12175-12182, 2020
112020
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
102020
Data processing and communication unit for recording patient data in therapy-free intervals
J Henze, C Strohhoefer
US Patent App. 14/688,507, 2015
102015
Device and method for predicting intradialytic parameters
R Atallah, J Henze, C Strohhoefer
US Patent 10,342,910, 2019
82019
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
52017
Machine learning in energy forecasts with an application to high frequency electricity consumption data
E Heilmann, J Henze, H Wetzel
MAGKS Joint Discussion Paper Series in Economics, 2021
22021
FORECAST OF HIGH FREQUENCY ENERGY DATA BASED ON MACHINE LEARING APPLICATIONS
E Heilmann, H Wetzel, J Henze
Energy, COVID, and Climate Change, 1st IAEE Online Conference, June 7-9, 2021, 2021
12021
Visualizing the Behavior of Convolutional Neural Networks for Time Series Forecasting
J Henze, B Sick
Interpretable Artificial Intelligence: A Perspective of Granular Computing …, 2021
12021
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
12019
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
FORECAST OF HIGH FREQUENCY ENERGY DATA BASED ON MACHINE LEARING APPLICATIONS
J Henze, H Wetzel
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Artikkelit 1–14