Forecasting uncertainty in electricity demand
- Tri K Wijaya
- Mathieu Sinn
- et al.
- 2015
- AAAI 2015
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22 results for Mathieu Sinn
Adaptive learning of smoothing functions: Application to electricity load forecasting
- Amadou Ba
- Mathieu Sinn
- et al.
- 2012
- NeurIPS 2012
Mixing properties of conditional Markov Chains with unbounded feature functions
- Mathieu Sinn
- Bei Chen
- 2012
- NeurIPS 2012
Structured Dimensionality Reduction for Additive Model Regression
- Alhussein Fawzi
- Jean-Baptiste Fiot
- et al.
- 2016
- IEEE TKDE
Castor: Contextual IoT time series data and model management at scale
- Bei Chen
- Bradley Eck
- et al.
- 2018
- ICDM 2018
Non-parametric estimation of Jensen-Shannon divergence in generative adversarial network training
- Mathieu Sinn
- Ambrish Rawat
- 2018
- AISTATS 2018
Cross-correlations of zero crossings in jointly Gaussian and stationary processes with zero means
- Magnus Mossberg
- Mathieu Sinn
- 2017
- ICASSP 2017
A scalable demand and renewable energy forecasting system for distribution grids
- Vincent P. A. Lonij
- Jean-Baptiste Fiot
- et al.
- 2016
- PESGM 2016
Data management system for energy analytics and its application to forecasting
- Francesco Fusco
- Pascal Pompey
- et al.
- 2016
- EDBT/ICDT 2016
Statistical anomaly detection in mean and variation of energy consumption
- Bei Chen
- Mathieu Sinn
- et al.
- 2014
- ICPR 2014