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2106.09370
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A deep generative model for probabilistic energy forecasting in power systems: normalizing flows
17 June 2021
Jonathan Dumas
Antoine Wehenkel
Bertrand Cornélusse
Antonio Sutera
AI4TS
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Papers citing
"A deep generative model for probabilistic energy forecasting in power systems: normalizing flows"
17 / 17 papers shown
Title
Generative Modeling of Microweather Wind Velocities for Urban Air Mobility
Tristan A. Shah
Michael C. Stanley
James E. Warner
47
0
0
04 Mar 2025
One Model to Forecast Them All and in Entity Distributions Bind Them
Kutay Bolat
Simon Tindemans
AI4TS
53
0
0
28 Jan 2025
AutoPQ: Automating Quantile estimation from Point forecasts in the context of sustainability
Stefan Meisenbacher
Kaleb Phipps
Oskar Taubert
Marie Weiel
Markus Gotz
Ralf Mikut
V. Hagenmeyer
67
0
0
30 Nov 2024
Channel-aware Contrastive Conditional Diffusion for Multivariate Probabilistic Time Series Forecasting
Siyang Li
Yize Chen
Hui Xiong
DiffM
AI4TS
28
0
0
03 Oct 2024
Generating Synthetic Net Load Data with Physics-informed Diffusion Model
Shaorong Zhang
Yuanbin Cheng
Nanpeng Yu
DiffM
35
2
0
04 Jun 2024
On-line conformalized neural networks ensembles for probabilistic forecasting of day-ahead electricity prices
A. Brusaferri
A. Ballarino
Luigi Grossi
F. Laurini
AI4TS
24
3
0
03 Apr 2024
Analysis and Applications of Deep Learning with Finite Samples in Full Life-Cycle Intelligence of Nuclear Power Generation
Chenwei Tang
Wenqiang Zhou
Dong Wang
Caiyang Yu
Zhenan He
...
Shudong Huang
Yi Gao
Jianming Chen
Wentao Feng
Jiancheng Lv
AI4CE
15
0
0
07 Nov 2023
Deep Generative Methods for Producing Forecast Trajectories in Power Systems
Nathan Weill
Jonathan Dumas
AI4TS
17
0
0
26 Sep 2023
Creating Probabilistic Forecasts from Arbitrary Deterministic Forecasts using Conditional Invertible Neural Networks
Kaleb Phipps
Benedikt Heidrich
Marian Turowski
Moritz Wittig
Ralf Mikut
V. Hagenmeyer
UQCV
11
1
0
03 Feb 2023
Time to Market Reduction for Hydrogen Fuel Cell Stacks using Generative Adversarial Networks
Nicolas Morizet
Perceval Desforges
Christoph Geißler
E. Pahon
Samir Jemeï
D. Hissel
16
3
0
22 Dec 2022
Denoising diffusion probabilistic models for probabilistic energy forecasting
Esteban Hernandez Capel
Jonathan Dumas
DiffM
11
15
0
06 Dec 2022
Sample-based Uncertainty Quantification with a Single Deterministic Neural Network
T. Kanazawa
Chetan Gupta
UQCV
17
4
0
17 Sep 2022
Continuous and Distribution-free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach
Honglin Wen
Pierre Pinson
Jinghuan Ma
Jie Gu
Zhijiang Jin
22
24
0
06 Jun 2022
Multivariate Probabilistic Forecasting of Intraday Electricity Prices using Normalizing Flows
Eike Cramer
D. Witthaut
Alexander Mitsos
Manuel Dahmen
22
28
0
27 May 2022
Normalizing Flow-based Day-Ahead Wind Power Scenario Generation for Profitable and Reliable Delivery Commitments by Wind Farm Operators
Eike Cramer
Leonard Paeleke
Alexander Mitsos
Manuel Dahmen
13
11
0
05 Apr 2022
Risk-Aware Control and Optimization for High-Renewable Power Grids
Neil Barry
Minas Chatzos
Wenbo Chen
Dahye Han
Chao-Ming Huang
...
Mathieu Tanneau
Pascal Van Hentenryck
Shangkun Wang
Hanyu Zhang
Haoruo Zhao
25
7
0
02 Apr 2022
Principal Component Density Estimation for Scenario Generation Using Normalizing Flows
Eike Cramer
Alexander Mitsos
Raúl Tempone
Manuel Dahmen
24
13
0
21 Apr 2021
1