| 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 | 740 | 2016 |
| Pedestrian's trajectory forecast in public traffic with artificial neural networks M Goldhammer, K Doll, U Brunsmann, A Gensler, B Sick 2014 22nd international conference on pattern recognition, 4110-4115, 2014 | 39 | 2014 |
| Novel Criteria to Measure Performance of Time Series Segmentation Techniques. A Gensler, B Sick LWA, 193-204, 2014 | 28 | 2014 |
| Wind Power Ensemble Forecasting: Performance Measures and Ensemble Architectures for Deterministic and Probabilistic Forecasts A Gensler kassel university press GmbH, 2019 | 24* | 2019 |
| Forecasting wind power-an ensemble technique with gradual coopetitive weighting based on weather situation A Gensler, B Sick 2016 International Joint Conference on Neural Networks (IJCNN), 4976-4984, 2016 | 20 | 2016 |
| An analog ensemble-based similarity search technique for solar power forecasting A Gensler, B Sick, V Pankraz 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016 | 19 | 2016 |
| Blazing fast time series segmentation based on update techniques for polynomial approximations A Gensler, T Gruber, B Sick 2013 IEEE 13th International Conference on Data Mining Workshops, 1002-1011, 2013 | 18 | 2013 |
| Performing event detection in time series with SwiftEvent: an algorithm with supervised learning of detection criteria A Gensler, B Sick Pattern Analysis and Applications 21, 543-562, 2018 | 17 | 2018 |
| A review of deterministic error scores and normalization techniques for power forecasting algorithms A Gensler, B Sick, S Vogt 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-9, 2016 | 14 | 2016 |
| A multi-scheme ensemble using coopetitive soft-gating with application to power forecasting for renewable energy generation A Gensler, B Sick arXiv preprint arXiv:1803.06344, 2018 | 13 | 2018 |
| Probabilistic wind power forecasting: A multi-scheme ensemble technique with gradual coopetitive soft gating A Gensler, B Sick 2017 IEEE symposium series on computational intelligence (SSCI), 1-10, 2017 | 13 | 2017 |
| 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC) A Gensler, J Henze, B Sick, N Raabe IEEE, 2016 | 11 | 2016 |
| A review of uncertainty representations and metaverification of uncertainty assessment techniques for renewable energies A Gensler, B Sick, S Vogt Renewable and Sustainable Energy Reviews 96, 352-379, 2018 | 8 | 2018 |
| Quantile Surfaces--Generalizing Quantile Regression to Multivariate Targets M Bieshaar, J Schreiber, S Vogt, A Gensler, B Sick arXiv preprint arXiv:2010.05898, 2020 | 7 | 2020 |
| Fast feature extraction for time series analysis using least-squares approximations with orthogonal basis functions A Gensler, T Gruber, B Sick 2015 22nd International Symposium on Temporal Representation and Reasoning …, 2015 | 6 | 2015 |
| Fast approximation library A Gensler, T Gruber, B Sick http: Ilies-research. de/Software, 2013 | 6 | 2013 |
| Temporal data analytics based on eigenmotif and shape space representations of time series A Gensler, B Sick, J Willkomm 2014 IEEE China Summit & International Conference on Signal and Information …, 2014 | 4 | 2014 |
| Coopetitive soft gating ensemble J Schreiber, M Bieshaar, A Gensler, B Sick, S Deist 2018 IEEE 3rd International Workshops on Foundations and Applications of …, 2018 | 3 | 2018 |
| Coopetitive Soft Gating Ensemble S Deist, M Bieshaar, J Schreiber, A Gensler, B Sick arXiv preprint arXiv:1807.01020, 2018 | 3 | 2018 |
| Embedded System P Jain Dosegljivo: http://www. engineersgarage. com/articles/embedded-systems …, 2015 | 2 | 2015 |
Bernhard SickProfessor of Intelligent Embedded Systems, University of Kassel在 uni-kassel.de 的电子邮件经过验证
