How can statistics help to prevent blackouts?-Reference-Cited by-同舟云学术

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How can statistics help to prevent blackouts?

Published:2023-02-01 Issue:1 Volume:20 Page:24-27
ISSN:1740-9705
Container-title:Significance
language:en
Short-container-title:

Author:

Lenzi Amanda¹^ORCID,Anitescu Mihai²

Affiliation:

1. Amanda Lenzi is a lecturer in statistics at the University of Edinburgh interested in applying spatiotemporal statistics to energy problems with a focus on the computational aspect

2. Mihai Anitescu is a senior computational mathematician with the mathematics and computer science division at Argonne National Laboratory and a professor at the department of statistics at the University of Chicago

Abstract

Abstract Last issue, Amanda Lenzi and Mihai Anitescu introduced the role of statistics in energy forecasting. Here, they explore the best way to anticipate and avoid power failures. Part two of a two-part series

Publisher

Oxford University Press (OUP)

Subject

Statistics and Probability

Link

https://academic.oup.com/jrssig/article-pdf/20/1/24/49157034/qmad009.pdf

Reference2 articles.

1. Power grid frequency prediction using spatiotemporal modeling;Lenzi;Statistical Analysis and Data Mining: The ASA Data Science Journal,2021

2. Detecting large frequency excursions in the power grid with Bayesian decision theory;Lenzi;IEEE Open Access Journal of Power and Energy,2022

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