Uncertainty Modeling Steps for Probabilistic Steady-State Analysis

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dc.contributor.authorPrusty, B.
dc.contributor.authorJena, D.
dc.date.accessioned2026-02-06T06:37:46Z
dc.date.issued2019
dc.description.abstractThis paper endeavors to deliver a detailed probabilistic uncertainty modeling approaches for power system planning and operation. The conventional uncertainty modeling approaches are reviewed, and the modeling challenges under large-scale integration of renewable generations are described. The modeling steps in various timescales (of the time horizons) for different applications are clarified inclusively. It is believed that the paper will help the novice readers in the probabilistic uncertainty modeling area. © 2019, Springer Nature Singapore Pte Ltd.
dc.identifier.citationLecture Notes in Electrical Engineering, 2019, Vol.553, , p. 1169-1177
dc.identifier.issn18761100
dc.identifier.urihttps://doi.org/10.1007/978-981-13-6772-4_102
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/31210
dc.publisherSpringer Verlag service@springer.de
dc.subjectOperation
dc.subjectPlanning
dc.subjectProbabilistic steady-state analysis
dc.subjectTime horizon
dc.subjectTimescale
dc.subjectUncertainty modeling
dc.titleUncertainty Modeling Steps for Probabilistic Steady-State Analysis

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