Non-parametric probabilistic load flow using Gaussian process learning
type: Item
instance of: scholarly article
title: Non-parametric probabilistic load flow using Gaussian process learning
author: Parikshit Pareek
author: Chuan Wang
author: Hung D. Nguyen
published in: Physica D
publication date: 2022-02-21T00:00:00Z
full work available at URL: https://arxiv.org/abs/1911.03093
Mathematics Subject Classification ID: 90B15
Mathematics Subject Classification ID: 62G05
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 7477874
zbMATH Keywords: probabilistic power flow
zbMATH Keywords: Gaussian process learning
zbMATH Keywords: probabilistic learning bound
zbMATH Keywords: nonparametric methods
describes a project that uses: MATPOWER
describes a project that uses: GPML
MaRDI profile type: Publication
OpenAlex ID: W3160240599
cites work: Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting
cites work: Q3394879
cites work: Q5249599
cites work: Gaussian processes for machine learning (GPML) toolbox
DOI: 10.1016/J.PHYSD.2021.132941
description: scientific article; zbMATH DE number 7477874