Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/2539
DC FieldValueLanguage
dc.contributor.authorKalogirou, Soteris A.-
dc.date.accessioned2009-08-26T06:24:11Zen
dc.date.accessioned2013-05-17T05:30:08Z-
dc.date.accessioned2015-12-02T11:35:21Z-
dc.date.available2009-08-26T06:24:11Zen
dc.date.available2013-05-17T05:30:08Z-
dc.date.available2015-12-02T11:35:21Z-
dc.date.issued2001-12-
dc.identifier.citation25th National Renewable Energy Convection, 2001, December, Warangal, Indiaen_US
dc.identifier.urihttps://hdl.handle.net/20.500.14279/2539-
dc.description.abstractArtificial intelligence (AI) systems comprise two major areas, expert systems and artificial neural networks (ANNs). The major objective of this paper is to illustrate how artificial intelligence techniques might play an important role in modelling and prediction of the performance of solar energy systems. The paper outlines an understanding of how expert systems and neural networks operate by way of presenting a number of problems in the different disciplines of solar energy engineering. The various applications of expert systems and neural networks are presented in a thematic rather than a chronological or any other order. Results presented in this paper, are testimony to the potential of artificial intelligence as a design tool in many areas of solar energy engineering.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.subjectExpert systemsen_US
dc.subjectArtificial Neural Networks (ANN)en_US
dc.subjectRenewable energy applicationsen_US
dc.titleArtificial Intelligence in Solar Energy Applicationsen_US
dc.typeConference Papersen_US
dc.collaborationHigher Technical Institute Cyprusen_US
dc.subject.categoryEnvironmental Engineeringen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.relation.conference25th National Renewable Energy Convection NREC’2001en_US
dc.dept.handle123456789/54en
cut.common.academicyear2001-2002en_US
item.cerifentitytypePublications-
item.openairetypeconferenceObject-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
crisitem.author.deptDepartment of Mechanical Engineering and Materials Science and Engineering-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-4497-0602-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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