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Kansas State University

Photovoltaic power analysis and prediction using machine learning methods

Abstract

dc:description.abstract

The stochastic nature of Photovoltaic power directly affects the stability of the grid. PV power forecasting allows power stations to know beforehand how much PV power will be available, which ensures that the grid remains in stabilized condition. PV power from India is analyzed and predicted using machine learning methods

Degree

thesis:*
Grantor dc:publisher
Kansas State University
Year dc:date.issued
2021

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Shehada, Halah

Subjects

dc:subject × 3

Rights

dc:rights
Statement dc:rights
  • © the author. This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
Language dc:language.iso
en_US

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/2097/41580

Chain of custody

source
Harvested from
Kansas State University
Base URL
krex.k-state.edu/server/oai/request
Last updated
2026-08-21
Source record
OAI-PMH GetRecord
citation

Shehada, Halah. Photovoltaic power analysis and prediction using machine learning methods. Kansas State University, 2021. https://hdl.handle.net/2097/41580