A deep generative model for probabilistic energy forecasting in power
systems: normalizing flows

A deep generative model for probabilistic energy forecasting in power systems: normalizing flows

17 June 2021

Antoine Wehenkel

Bertrand Cornélusse

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