A Morphological Clustering Method for daily solar radiation curves
► Method based on Mathematical Morphology for the classification of solar radiation curves. ► The granulometric size distributions of the original daily radiation curves are obtained. ► Cloud transitions and variability in direct radiation are simultaneously taken into account for clustering. ► Some...
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| Veröffentlicht in: | Solar energy 2011-09, Vol.85 (9), p.1824-1836 |
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| container_title | Solar energy |
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| creator | Gastón-Romeo, Martín Leon, Teresa Mallor, Fermín Ramírez-Santigosa, Lourdes |
| description | ► Method based on Mathematical Morphology for the classification of solar radiation curves. ► The granulometric size distributions of the original daily radiation curves are obtained. ► Cloud transitions and variability in direct radiation are simultaneously taken into account for clustering. ► Some advantages with respect to daily clearness index distributions are found.
We present a new method based on Mathematical Morphology techniques for the classification of solar radiation curves that we call MfCM. The main advantage of using MfCM as opposed to daily clearness index distributions is that it allows us to keep the dynamics of the solar radiance curves in the analysis: both cloud transitions and variability in direct radiation are simultaneously taken into account. To illustrate our proposal, we use a set of real radiation data collected in a location sited in southern Spain. |
| doi_str_mv | 10.1016/j.solener.2011.04.023 |
| format | Article |
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We present a new method based on Mathematical Morphology techniques for the classification of solar radiation curves that we call MfCM. The main advantage of using MfCM as opposed to daily clearness index distributions is that it allows us to keep the dynamics of the solar radiance curves in the analysis: both cloud transitions and variability in direct radiation are simultaneously taken into account. To illustrate our proposal, we use a set of real radiation data collected in a location sited in southern Spain.</description><identifier>ISSN: 0038-092X</identifier><identifier>EISSN: 1471-1257</identifier><identifier>DOI: 10.1016/j.solener.2011.04.023</identifier><identifier>CODEN: SRENA4</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Applied sciences ; Classification ; Clustering ; Data collection ; Direct radiation ; Dynamic tests ; Energy ; Exact sciences and technology ; Granulometric size distribution ; Mathematical analysis ; Mathematical Morphology ; Natural energy ; Proposals ; Radiance ; Solar energy ; Solar radiation ; Ultraviolet radiation</subject><ispartof>Solar energy, 2011-09, Vol.85 (9), p.1824-1836</ispartof><rights>2011 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><rights>Copyright Pergamon Press Inc. Sep 2011</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c431t-f98b1701b27cace8edc29cc9bf01e66295c5d6bb414eb67e9d2d4f2d85ce9093</citedby><cites>FETCH-LOGICAL-c431t-f98b1701b27cace8edc29cc9bf01e66295c5d6bb414eb67e9d2d4f2d85ce9093</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0038092X11001435$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24481340$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Gastón-Romeo, Martín</creatorcontrib><creatorcontrib>Leon, Teresa</creatorcontrib><creatorcontrib>Mallor, Fermín</creatorcontrib><creatorcontrib>Ramírez-Santigosa, Lourdes</creatorcontrib><title>A Morphological Clustering Method for daily solar radiation curves</title><title>Solar energy</title><description>► Method based on Mathematical Morphology for the classification of solar radiation curves. ► The granulometric size distributions of the original daily radiation curves are obtained. ► Cloud transitions and variability in direct radiation are simultaneously taken into account for clustering. ► Some advantages with respect to daily clearness index distributions are found.
We present a new method based on Mathematical Morphology techniques for the classification of solar radiation curves that we call MfCM. The main advantage of using MfCM as opposed to daily clearness index distributions is that it allows us to keep the dynamics of the solar radiance curves in the analysis: both cloud transitions and variability in direct radiation are simultaneously taken into account. 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We present a new method based on Mathematical Morphology techniques for the classification of solar radiation curves that we call MfCM. The main advantage of using MfCM as opposed to daily clearness index distributions is that it allows us to keep the dynamics of the solar radiance curves in the analysis: both cloud transitions and variability in direct radiation are simultaneously taken into account. To illustrate our proposal, we use a set of real radiation data collected in a location sited in southern Spain.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.solener.2011.04.023</doi><tpages>13</tpages></addata></record> |
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| ispartof | Solar energy, 2011-09, Vol.85 (9), p.1824-1836 |
| issn | 0038-092X 1471-1257 |
| language | eng |
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| source | Elsevier ScienceDirect Journals |
| subjects | Applied sciences Classification Clustering Data collection Direct radiation Dynamic tests Energy Exact sciences and technology Granulometric size distribution Mathematical analysis Mathematical Morphology Natural energy Proposals Radiance Solar energy Solar radiation Ultraviolet radiation |
| title | A Morphological Clustering Method for daily solar radiation curves |
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