Altitude’s Impact on Photovoltaic Efficiency: An IoT-Enabled Geographically Distributed Remote Laboratory

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dc.contributor.authorAndrés Gamboa
dc.contributor.authorAlex Villazón
dc.contributor.authorA.R.A.S. Meneses
dc.contributor.authorOmar Ormachea
dc.contributor.authorRenán Orellana
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T20:18:04Z
dc.date.available2026-03-22T20:18:04Z
dc.date.issued2024
dc.descriptionCitaciones: 1
dc.identifier.doi10.1007/978-3-031-61905-2_14
dc.identifier.urihttps://doi.org/10.1007/978-3-031-61905-2_14
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/81179
dc.language.isoen
dc.publisherSpringer International Publishing
dc.relation.ispartofLecture notes in networks and systems
dc.sourceUniversidad Privada Boliviana
dc.subjectPhotovoltaic system
dc.subjectInternet of Things
dc.subjectAltitude (triangle)
dc.subjectRemote sensing
dc.subjectComputer science
dc.subjectEnvironmental science
dc.subjectGeography
dc.titleAltitude’s Impact on Photovoltaic Efficiency: An IoT-Enabled Geographically Distributed Remote Laboratory
dc.typebook-chapter

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