Uncertainty Management in Utility Grid Considering PV Generation: An Operational Planner's Perspective

dc.contributor.authorPrusty, B.
dc.contributor.authorBingi, K.
dc.contributor.authorJena, D.
dc.contributor.authorBadi, M.
dc.contributor.authorMohan Krishna, S.
dc.date.accessioned2026-02-06T06:34:48Z
dc.date.issued2023
dc.description.abstractThis paper discusses the importance of adopting a spatiotemporal model-based scenario generation technique by approximating a multivariate continuous stochastic process in a discrete form. The computational steps for such a model development are comprehensibly discussed via a case study using PV generation data collected from the USA. The model accuracy comparison through a detailed discussion of obtained results is likely to help novice researchers to choose the best model amongst the available options and tactically decide to improvise the modeling framework further. This systematically prepared paper is expected to help power engineers with enough confidence to execute operational planning decisions realistically. © 2023 IEEE.
dc.identifier.citation5th International Conference on Energy, Power, and Environment: Towards Flexible Green Energy Technologies, ICEPE 2023, 2023, Vol., , p. -
dc.identifier.urihttps://doi.org/10.1109/ICEPE57949.2023.10201560
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/29476
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.subjectMultiple linear regression (MLR)
dc.subjectoperational plan-ning
dc.subjectprincipal component analysis (PCA)
dc.subjectPV generation
dc.subjectuncertainty management
dc.titleUncertainty Management in Utility Grid Considering PV Generation: An Operational Planner's Perspective

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