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Validation Methods for Energy Time Series Scenarios from Deep Generative
  Models
v1v2 (latest)

Validation Methods for Energy Time Series Scenarios from Deep Generative Models

27 October 2021
Eike Cramer
L. R. Gorjão
Alexander Mitsos
B. Schäfer
D. Witthaut
Manuel Dahmen
ArXiv (abs)PDFHTML

Papers citing "Validation Methods for Energy Time Series Scenarios from Deep Generative Models"

16 / 16 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
280
30,103
0
01 Mar 2022
Deep Generative Modelling: A Comparative Review of VAEs, GANs,
  Normalizing Flows, Energy-Based and Autoregressive Models
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
Sam Bond-Taylor
Adam Leach
Yang Long
Chris G. Willcocks
VLMTPM
98
500
0
08 Mar 2021
Generative Adversarial Networks for Operational Scenario Planning of
  Renewable Energy Farms: A Study on Wind and Photovoltaic
Generative Adversarial Networks for Operational Scenario Planning of Renewable Energy Farms: A Study on Wind and Photovoltaic
Jens Schreiber
Maik Jessulat
Bernhard Sick
33
12
0
03 Jun 2019
Forecasting Spatio-Temporal Renewable Scenarios: a Deep Generative
  Approach
Forecasting Spatio-Temporal Renewable Scenarios: a Deep Generative Approach
Congmei Jiang
Yize Chen
Yongfang Mao
Yi Chai
Mingbiao Yu
21
7
0
13 Mar 2019
Pros and Cons of GAN Evaluation Measures
Pros and Cons of GAN Evaluation Measures
Ali Borji
ELMEGVM
65
876
0
09 Feb 2018
Bayesian Renewables Scenario Generation via Deep Generative Networks
Bayesian Renewables Scenario Generation via Deep Generative Networks
Yize Chen
Pan Li
Baosen Zhang
61
42
0
02 Feb 2018
Model-Free Renewable Scenario Generation Using Generative Adversarial
  Networks
Model-Free Renewable Scenario Generation Using Generative Adversarial Networks
Yize Chen
Yishen Wang
D. Kirschen
Baosen Zhang
54
412
0
30 Jul 2017
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
207
9,548
0
31 Mar 2017
Wasserstein GAN
Wasserstein GAN
Martín Arjovsky
Soumith Chintala
Léon Bottou
GAN
172
4,826
0
26 Jan 2017
Towards Principled Methods for Training Generative Adversarial Networks
Towards Principled Methods for Training Generative Adversarial Networks
Martín Arjovsky
M. Nault
GAN
81
2,109
0
17 Jan 2017
Unrolled Generative Adversarial Networks
Unrolled Generative Adversarial Networks
Luke Metz
Ben Poole
David Pfau
Jascha Narain Sohl-Dickstein
GAN
100
1,004
0
07 Nov 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
483
9,052
0
10 Jun 2016
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GANOOD
258
14,012
0
19 Nov 2015
Variational Inference with Normalizing Flows
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende
S. Mohamed
DRLBDL
313
4,182
0
21 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
452
16,929
0
20 Dec 2013
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