Modeling of Solar Intensity via Markov Chains with Applications in Solar Energy Harvesting

Here, we propose a solar intensity model based on Markov chain. This model provides more accurate results for instantaneous solar intensity vector. We show that by increasing the order of Markov chain, we can achieve finer results in terms of maximum likelihood of the model matching the instantaneou...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Manaffam, Saeed, Alireza Seyedi
Format:	Dataset
Sprache:	eng
Schlagworte:	Climate Science
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

container_end_page
container_issue
container_start_page
container_title
container_volume
creator	Manaffam, Saeed Alireza Seyedi
description	Here, we propose a solar intensity model based on Markov chain. This model provides more accurate results for instantaneous solar intensity vector. We show that by increasing the order of Markov chain, we can achieve finer results in terms of maximum likelihood of the model matching the instantaneous data. Applying this model on the data collected from Rochester in upstate New York shows the effectiveness of our approach.
doi_str_mv	10.6084/m9.figshare.1585839
format	Dataset
fullrecord	<record><control><sourceid>datacite_PQ8</sourceid><recordid>TN_cdi_datacite_primary_10_6084_m9_figshare_1585839</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_6084_m9_figshare_1585839</sourcerecordid><originalsourceid>FETCH-LOGICAL-d899-a75e59aebf79e44ae60e1db631bb04d88144468c34db034cf1c1195298201aa53</originalsourceid><addsrcrecordid>eNo1j7FqwzAURb10KGm_oIt-wK4USY40BpM2gYQOydRFPFvPtqgtG1m4-O-bUne6cOAeOEnywmiWUyVee53VrplaCJgxqaTi-jH5vAwWO-cbMtTkOnQQyMlH9JOLC5kdkAuEr2EmRQvOT-TbxZbsx7FzFUQ33Inz6-3gMTQLOUKYcYp341PyUEM34fO6m-T2drgVx_T88X4q9ufUKq1T2EmUGrCsdxqFAMwpMlvmnJUlFVYpJoTIVcWFLSkXVc0qxrTcarWlDEDyTcL_tBYiVC6iGYPrISyGUfMbbnpt_sPNGs5_AGEpVUs</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>dataset</recordtype></control><display><type>dataset</type><title>Modeling of Solar Intensity via Markov Chains with Applications in Solar Energy Harvesting</title><source>DataCite</source><creator>Manaffam, Saeed ; Alireza Seyedi</creator><creatorcontrib>Manaffam, Saeed ; Alireza Seyedi</creatorcontrib><description>Here, we propose a solar intensity model based on Markov chain. This model provides more accurate results for instantaneous solar intensity vector. We show that by increasing the order of Markov chain, we can achieve finer results in terms of maximum likelihood of the model matching the instantaneous data. Applying this model on the data collected from Rochester in upstate New York shows the effectiveness of our approach.</description><identifier>DOI: 10.6084/m9.figshare.1585839</identifier><language>eng</language><publisher>figshare</publisher><subject>Climate Science</subject><creationdate>2015</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>780,1892</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.6084/m9.figshare.1585839$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Manaffam, Saeed</creatorcontrib><creatorcontrib>Alireza Seyedi</creatorcontrib><title>Modeling of Solar Intensity via Markov Chains with Applications in Solar Energy Harvesting</title><description>Here, we propose a solar intensity model based on Markov chain. This model provides more accurate results for instantaneous solar intensity vector. We show that by increasing the order of Markov chain, we can achieve finer results in terms of maximum likelihood of the model matching the instantaneous data. Applying this model on the data collected from Rochester in upstate New York shows the effectiveness of our approach.</description><subject>Climate Science</subject><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2015</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNo1j7FqwzAURb10KGm_oIt-wK4USY40BpM2gYQOydRFPFvPtqgtG1m4-O-bUne6cOAeOEnywmiWUyVee53VrplaCJgxqaTi-jH5vAwWO-cbMtTkOnQQyMlH9JOLC5kdkAuEr2EmRQvOT-TbxZbsx7FzFUQ33Inz6-3gMTQLOUKYcYp341PyUEM34fO6m-T2drgVx_T88X4q9ufUKq1T2EmUGrCsdxqFAMwpMlvmnJUlFVYpJoTIVcWFLSkXVc0qxrTcarWlDEDyTcL_tBYiVC6iGYPrISyGUfMbbnpt_sPNGs5_AGEpVUs</recordid><startdate>20151027</startdate><enddate>20151027</enddate><creator>Manaffam, Saeed</creator><creator>Alireza Seyedi</creator><general>figshare</general><scope>DYCCY</scope><scope>PQ8</scope></search><sort><creationdate>20151027</creationdate><title>Modeling of Solar Intensity via Markov Chains with Applications in Solar Energy Harvesting</title><author>Manaffam, Saeed ; Alireza Seyedi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-d899-a75e59aebf79e44ae60e1db631bb04d88144468c34db034cf1c1195298201aa53</frbrgroupid><rsrctype>datasets</rsrctype><prefilter>datasets</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Climate Science</topic><toplevel>online_resources</toplevel><creatorcontrib>Manaffam, Saeed</creatorcontrib><creatorcontrib>Alireza Seyedi</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Manaffam, Saeed</au><au>Alireza Seyedi</au><format>book</format><genre>unknown</genre><ristype>DATA</ristype><title>Modeling of Solar Intensity via Markov Chains with Applications in Solar Energy Harvesting</title><date>2015-10-27</date><risdate>2015</risdate><abstract>Here, we propose a solar intensity model based on Markov chain. This model provides more accurate results for instantaneous solar intensity vector. We show that by increasing the order of Markov chain, we can achieve finer results in terms of maximum likelihood of the model matching the instantaneous data. Applying this model on the data collected from Rochester in upstate New York shows the effectiveness of our approach.</abstract><pub>figshare</pub><doi>10.6084/m9.figshare.1585839</doi><oa>free_for_read</oa></addata></record>
fulltext	fulltext_linktorsrc
identifier	DOI: 10.6084/m9.figshare.1585839
ispartof
issn
language	eng
recordid	cdi_datacite_primary_10_6084_m9_figshare_1585839
source	DataCite
subjects	Climate Science
title	Modeling of Solar Intensity via Markov Chains with Applications in Solar Energy Harvesting
url	https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-10T09%3A46%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-datacite_PQ8&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=unknown&rft.au=Manaffam,%20Saeed&rft.date=2015-10-27&rft_id=info:doi/10.6084/m9.figshare.1585839&rft_dat=%3Cdatacite_PQ8%3E10_6084_m9_figshare_1585839%3C/datacite_PQ8%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true