Model-Free Renewable Scenario Generation Using Generative Adversarial
Networks

Model-Free Renewable Scenario Generation Using Generative Adversarial Networks

30 July 2017

Papers citing "Model-Free Renewable Scenario Generation Using Generative Adversarial Networks"

19 / 19 papers shown

Title
Fréchet Power-Scenario Distance: A Metric for Evaluating Generative AI Models across Multiple Time-Scales in Smart Grids Yuting Cai Shaohuai Liu Chao Tian Le Xie 29 0 0 12 May 2025
Learning and Generating Diverse Residential Load Patterns Using GAN with Weakly-Supervised Training and Weight Selection Xinyu Liang Hao Wang 182 0 0 19 Apr 2025
The day-ahead scenario generation method for new energy based on an improved conditional generative diffusion model Changbo Wang Wei Liu Yuhang Cao Dong Liang Yang Li Jingshan Mo DiffM 40 0 0 06 Mar 2025
Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI Liang Zhang Jionghao Lin John Sabatini Conrad Borchers Daniel Weitekamp Meng Cao John Hollander Xiangen Hu Arthur C. Graesser 49 2 0 24 Sep 2024
Transformer meets wcDTW to improve real-time battery bids: A new approach to scenario selection Sujal Bhavsar Vera Zaychik Moffitt Justin Appleby 20 0 0 02 Apr 2024
Multivariate Scenario Generation of Day-Ahead Electricity Prices using Normalizing Flows Hannes Hilger D. Witthaut Manuel Dahmen L. R. Gorjão Julius Trebbien Eike Cramer 25 5 0 23 Nov 2023
Generative modeling for time series via Schr{ö}dinger bridge Mohamed Hamdouche P. Henry-Labordère H. Pham AI4TS DiffM OT 35 11 0 11 Apr 2023
Energy System Digitization in the Era of AI: A Three-Layered Approach towards Carbon Neutrality Le Xie Tong Huang Xiangtian Zheng Yan Liu Ming Wang V. Vittal P. Kumar S. Shakkottai Yi Cui MedIm AI4CE 25 11 0 02 Nov 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 24 11 0 05 Apr 2022
Validation Methods for Energy Time Series Scenarios from Deep Generative Models Eike Cramer L. R. Gorjão Alexander Mitsos B. Schäfer D. Witthaut Manuel Dahmen 21 16 0 27 Oct 2021
Synthetic Active Distribution System Generation via Unbalanced Graph Generative Adversarial Network Rong Yan Yuxuan Yuan Zhaoyu Wang Guangchao Geng Q. Jiang 18 0 0 02 Aug 2021
Privacy-preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach Yang Li Jiazheng Li Yi Wang 37 151 0 16 Jul 2021
A deep generative model for probabilistic energy forecasting in power systems: normalizing flows Jonathan Dumas Antoine Wehenkel Bertrand Cornélusse Antonio Sutera AI4TS 32 82 0 17 Jun 2021
Principal Component Density Estimation for Scenario Generation Using Normalizing Flows Eike Cramer Alexander Mitsos Raúl Tempone Manuel Dahmen 29 13 0 21 Apr 2021
A Federated Learning Framework for Smart Grids: Securing Power Traces in Collaborative Learning Haizhou Liu Xuan Zhang Xinwei Shen Hongbin Sun FedML 19 40 0 22 Mar 2021
A Spectral Enabled GAN for Time Series Data Generation Kaleb E. Smith Anthony O. Smith GAN 30 12 0 02 Mar 2021
A Review of Graph Neural Networks and Their Applications in Power Systems Wenlong Liao B. Bak‐Jensen J. Pillai Yuelong Wang Yusen Wang GNN AI4CE 29 210 0 25 Jan 2021
Probabilistic Forecasting of Sensory Data with Generative Adversarial Networks - ForGAN Alireza Koochali P. Schichtel Sheraz Ahmed Andreas Dengel AI4TS 22 72 0 29 Mar 2019
Bayesian Renewables Scenario Generation via Deep Generative Networks Yize Chen Pan Li Baosen Zhang 25 42 0 02 Feb 2018