Non-parametric probabilistic load flow using Gaussian process learning

DOI10.1016/j.physd.2021.132941OpenAlexW3160240599MaRDI QIDQ2077702

Chuan Wang, Hung D. Nguyen, Parikshit Pareek

Publication date: 21 February 2022

Published in: Physica D (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1911.03093

zbMATH Keywords

nonparametric methodsGaussian process learningprobabilistic learning boundprobabilistic power flow

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Learning and adaptive systems in artificial intelligence (68T05) Stochastic network models in operations research (90B15)

Uses Software

• MATPOWER
• GPML

Cites Work

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• Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting

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