<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-18T20:32:22Z</responseDate><request verb="GetRecord" identifier="oai:krex.k-state.edu:2097/41580" metadataPrefix="dim">https://krex.k-state.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:krex.k-state.edu:2097/41580</identifier><datestamp>2026-09-02T15:54:04Z</datestamp><setSpec>com_2097_1</setSpec><setSpec>col_2097_4</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="author">Shehada, Halah</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2021-07-29T16:04:34Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2021-07-29T16:04:34Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued">2021</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="graduationmonth">August</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/2097/41580</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="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</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree">Master of Science</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="level">Masters</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="department">Department of Electrical and Computer Engineering</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="advisor">Mohammad B. Shadmand</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso">en_US</dim:field>
   <dim:field mdschema="dc" element="publisher">Kansas State University</dim:field>
   <dim:field mdschema="dc" element="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).</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri">http://rightsstatements.org/vocab/InC/1.0/</dim:field>
   <dim:field mdschema="dc" element="subject">Photovoltaic</dim:field>
   <dim:field mdschema="dc" element="subject">Random Forest</dim:field>
   <dim:field mdschema="dc" element="subject">Confusion Matrix</dim:field>
   <dim:field mdschema="dc" element="title">Photovoltaic power analysis and prediction using machine learning methods</dim:field>
   <dim:field mdschema="dc" element="type">Report</dim:field>
   <dim:field mdschema="others" element="access-status">open.access</dim:field>
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