NIST · ИТ · ed6973792736fbf139e0
Online Testbed for Evaluating Vulnerability of Deep Learning Based Power Grid Load Forecasters
Modern electric grids that integrate smart grid technologies require different approaches to grid operations. There has been a shift towards increased reliance on distributed sensors to monitor bidirectional power flows and machine learning based load
NIST · ИТОфициальный источник · 2020-07-07
{
"title_en": "Online Testbed for Evaluating Vulnerability of Deep Learning Based Power Grid Load Forecasters",
"designation": "",
"series": "",
"status": "",
"date": "2020-07-07",
"date_original": "July 7, 2020",
"url": "https://www.nist.gov/publications/online-testbed-evaluating-vulnerability-deep-learning-based-power-grid-load-forecasters",
"source": "NIST Publications",
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"authors_en": "Himanshu Neema, Peter Volgyesi, Xenofon Koutsoukos, Thomas Roth , Cuong Nguyen",
"abstract_excerpt_en": "Modern electric grids that integrate smart grid technologies require different approaches to grid operations. There has been a shift towards increased reliance on distributed sensors to monitor bidirectional power flows and machine learning based load",
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{
"title_en": "Online Testbed for Evaluating Vulnerability of Deep Learning Based Power Grid Load Forecasters",
"designation": "",
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"date": "2020-07-07",
"date_original": "July 7, 2020",
"url": "https://www.nist.gov/publications/online-testbed-evaluating-vulnerability-deep-learning-based-power-grid-load-forecasters",
"source": "NIST Publications",
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"authors_en": "Himanshu Neema, Peter Volgyesi, Xenofon Koutsoukos, Thomas Roth , Cuong Nguyen",
"abstract_excerpt_en": "Modern electric grids that integrate smart grid technologies require different approaches to grid operations. There has been a shift towards increased reliance on distributed sensors to monitor bidirectional power flows and machine learning based load"
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