Efficient inference in dual-emission FHMM for energy disaggregation
Mario Berges , Henning Lange
national conference on artificial intelligence 248 -254
19
2016
Disaggregation by State InferenceA Probabilistic Framework For Non-Intrusive Load Monitoring
Henning Lange
3
2016
Variational BOLT: Approximate Learning in Factorial Hidden Markov Models With Application to Energy Disaggregation.
Mario Berges , Henning Lange
national conference on artificial intelligence 792 -799
5
2018
Spectral Methods for Time Series Prediction with Application to Fluid Flows
Steven Brunton , Nathan Kutz , Henning Lange
APS
2019
Data-driven Modeling of Rotating Detonation Waves
Steven L. Brunton , J. Nathan Kutz , Henning Lange , James Koch
arXiv: Dynamical Systems
9
2020
From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction
Steven L. Brunton , J. Nathan Kutz , Henning Lange
Journal of Machine Learning Research 22 ( 41) 1 -38
40
2021
Design and implementation of a low-cost arduino-based high-frequency AC waveform meter board for the raspberry pi
Matias Quintana , Henning Lange , Mario Bergés
international conference on systems for energy efficient built environments 34
4
2017
Neural Variational Identification and Filtering for Stochastic Non-linear Dynamical Systems with Application to Non-intrusive Load Monitoring
Henning Lange , Mario Berges , Zico Kolter
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 8340 -8344
4
2019
Dyna-Bolt: Domain Adaptive Binary Factorization Of Current Waveforms For Energy Disaggregation
Bingqing Chen , Jingxiao Liu , Henning Lange , Mario Berges
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 3262 -3266
1
2020
BOLT: Energy Disaggregation by Online Binary Matrix Factorization of Current Waveforms
Henning Lange , Mario Bergés
international conference on systems for energy efficient built environments 11 -20
20
2016
Fc2t2: The fast continuous convolutional taylor transform with applications in vision and graphics
Henning Lange , J Nathan Kutz
arXiv preprint arXiv:2111.00110
1
2021
Electrical meter system for energy desegregation
Henning Lange , Jeremy Zico Kolter , Mario Berges
11
2022
Data-driven modeling of detonation wave interactions in rotating detonation engines
Ariana Mendible , James Koch , Henning Lange , Steven Brunton
APS Division of Fluid Dynamics Meeting Abstracts K09. 001 -K09. 001
1
2020
Learning to solve ac optimal power flow by differentiating through holomorphic embeddings
Henning Lange , Bingqing Chen , Mario Berges , Soummya Kar
arXiv preprint arXiv:2012.09622
10
2020
Data-Driven operation of building systems: present challenges and future prospects
Mario Bergés , Henning Lange , Jingkun Gao
Advanced Computing Strategies for Engineering: 25th EG-ICE International Workshop 2018, Lausanne, Switzerland, June 10-13, 2018, Proceedings, Part II 25 23 -52
5
2018
Deep probabilistic Koopman: long-term time-series forecasting under periodic uncertainties
Alex T Mallen , Henning Lange , J Nathan Kutz
International Journal of Forecasting 40 ( 3) 859 -868
4
2024
The neural energy decoder: energy disaggregation by combining binary subcomponents
Henning Lange , Mario Bergés
Proceeding of the 3rd International Workshop on Non-Intrusive Load Monitoring
25
2016
FactorNet: Learning to Factorize Intractable and Multi-Modal Posterior Distributions for Energy Disaggregation
Henning Lange , Mario Bergés
4th International Workshop on Non-Intrusive Load Monitoring
2
2018
SYSTEMS AND METHODS FOR RENDERING OF VISUALS AND GRAPHICS
Henning Lange , Jose Nathan Kutz
2024
Variational Methods for Energy Systems
Henning Lange
Carnegie Mellon University
2019