André Gensler
André Gensler
SMA Solar Technology AG
Verified email at uni-kassel.de
Title
Cited by
Cited by
Year
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
2342016
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
212014
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
152016
Novel Criteria to Measure Performance of Time Series Segmentation Techniques.
A Gensler, B Sick
LWA, 193-204, 2014
142014
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
132013
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
102016
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
92017
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
92016
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
82018
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 (2), 543-562, 2018
62018
Fast approximation library
A Gensler, T Gruber, B Sick
62013
Wind power ensemble forecasting
A Gensler
kassel university press, 2019
52019
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
52015
Wind Power Ensemble Forecasting: Performance Measures and Ensemble Architectures for Deterministic and Probabilistic Forecasts
A Gensler
kassel university press GmbH, 2019
42019
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
32014
Coopetitive Soft Gating Ensemble
S Deist, M Bieshaar, J Schreiber, A Gensler, B Sick
arXiv preprint arXiv:1807.01020, 2018
22018
Embedded Systems
M Hahn, A Gensler, M Eng, R Jubeh, W Allee
22015
Location based learning of user behavior for proactive recommender systems in car comfort functions
T Stone, O Birth, A Gensler, A Huber, M Jänicke, B Sick
Informatik 2014, 2014
12014
Quantile Surfaces--Generalizing Quantile Regression to Multivariate Targets
M Bieshaar, J Schreiber, S Vogt, A Gensler, B Sick
arXiv preprint arXiv:2010.05898, 2020
2020
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
2018
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Articles 1–20