Generating Multivariate Load States Using a Conditional Variational Autoencoder

21 October 2021

Papers citing "Generating Multivariate Load States Using a Conditional Variational Autoencoder"

6 / 6 papers shown

Title
Synthetic Power Flow Data Generation Using Physics-Informed Denoising Diffusion Probabilistic Models Junfei Wang Darshana Upadhyay Marzia Zaman Pirathayini Srikantha DiffM 42 0 0 24 Apr 2025
A Flow-Based Model for Conditional and Probabilistic Electricity Consumption Profile Generation and Prediction Weijie Xia Chenguang Wang Peter Palensky Pedro P. Vergara 19 2 0 03 May 2024
An Efficient Quasi-Random Sampling for Copulas Sumin Wang Chenxian Huang Yongdao Zhou Min-Qian Liu 30 0 0 08 Mar 2024
Stable Training of Probabilistic Models Using the Leave-One-Out Maximum Log-Likelihood Objective Kutay Bolat Simon Tindemans Peter Palensky 12 1 0 05 Oct 2023
Targeted Analysis of High-Risk States Using an Oriented Variational Autoencoder Chenguang Wang Ensieh Sharifnia Simon Tindemans Peter Palensky DRL 10 0 0 20 Mar 2023
Generating Contextual Load Profiles Using a Conditional Variational Autoencoder Chenguang Wang Simon Tindemans Peter Palensky 25 7 0 08 Sep 2022