Estimation of non-linear continuous time models for the heat exchange dynamics of building integrated photovoltaic modules

By M. Jiménez, Henrik Madsen, J. Bloem, B. Dammann. 2008

53 citations recorded by the source corpus.

Subfields: Building and Construction, Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/b20e2173bffc5a0f0256e4454614396589d88182

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

1. Andreas Krause
2. Bernhard Schölkopf
3. Gabriele Abbati

In Economics and Econometrics

1. Michael A. Osborne
2. Andreas Krause
3. Stefan Bauer
4. Bernhard Schölkopf
5. Gabriele Abbati
6. Philippe Wenk
7. H. Bakhshi

In Statistics and Probability

1. Stefan Bauer
2. Bernhard Schölkopf
3. Zhanyong Li
4. D. Yan
5. Michael A. Osborne
6. Andreas Krause
7. Yeonsook Heo
8. W. Tian

Citations in the corpus

• A review of uncertainty analysis in building energy assessment (2018, methodology): “Non-sampling uncertainty propagation methods have been used only for a few of applications in the field of building energy analysis: stochastic different equations [150-153] and stochastic collocation [115, 154].”
• AReS and MaRS - Adversarial and MMD-Minimizing Regression for SDEs (2019, background): “…a constant diffusion assumption might seem restrictive at first, such SDE models are widely used, e.g. in chemical engineering (Karimi and McAuley, 2018), civil engineering (Jim´enez et al., 2008), pharmacology (Donnet and Samson, 2013) and of course in signal processing, control and econometrics.”