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 | 719 | 2016 |
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 | 14 | 2020 |
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 | 12 | 2020 |
Representation Learning in Power Time Series Forecasting J Henze, J Schreiber, B Sick Deep Learning: Algorithms and Applications, 67-101, 2020 | 12 | 2020 |
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 | 11 | 2020 |
Data processing and communication unit for recording patient data in therapy-free intervals J Henze, C Strohhoefer US Patent App. 14/688,507, 2015 | 11 | 2015 |
Device and method for predicting intradialytic parameters R Atallah, J Henze, C Strohhoefer US Patent 10,342,910, 2019 | 9 | 2019 |
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 | 5 | 2017 |
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 | 2 | 2021 |
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 | 1 | 2021 |
Visualizing the Behavior of Convolutional Neural Networks for Time Series Forecasting J Henze, B Sick Interpretable Artificial Intelligence: A Perspective of Granular Computing …, 2021 | 1 | 2021 |
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 | 1 | 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 |
FORECAST OF HIGH FREQUENCY ENERGY DATA BASED ON MACHINE LEARING APPLICATIONS J Henze, H Wetzel | | |