Machine Learning with Meteorological Variables for the Prediction of the Electric Field in East Lima, Peru

Environmental pollution and its effects on global warming and climate change are a key concern for all life on our planet. That is why meteorological variables such as maximum temperature, solar radiation, and ultraviolet levels were analyzed in this study, with a...

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Autores principales: Soria Quijaite, Juan Jesus, Poma Porras, Orlando Alan, Sumire, David A., Fernandez Rojas, Joel Hugo, Echevarria, Maycol O.
Formato: Capítulo de libro
Lenguaje:inglés
Publicado: 2021
Acceso en línea:Enlace permanente (DOI o Handle)
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author Soria Quijaite, Juan Jesus
Poma Porras, Orlando Alan
Sumire, David A.
Fernandez Rojas, Joel Hugo
Echevarria, Maycol O.
author_browse Echevarria, Maycol O.
Fernandez Rojas, Joel Hugo
Poma Porras, Orlando Alan
Soria Quijaite, Juan Jesus
Sumire, David A.
author_facet Soria Quijaite, Juan Jesus
Poma Porras, Orlando Alan
Sumire, David A.
Fernandez Rojas, Joel Hugo
Echevarria, Maycol O.
author_sort Soria Quijaite, Juan Jesus
collection Producción científica
description Environmental pollution and its effects on global warming and climate change are a key concern for all life on our planet. That is why meteorological variables such as maximum temperature, solar radiation, and ultraviolet levels were analyzed in this study, with a...
format Book chapter
id oai:cris.upeu.edu.pe:20.500.15037/333
institution UPeU
language English
publishDate 2021
publishDateRange 2021
publishDateSort 2021
record_format dspace
spelling oai:cris.upeu.edu.pe:20.500.15037/3332026-11-02T22:00:04ZMachine Learning with Meteorological Variables for the Prediction of the Electric Field in East Lima, PeruSoria Quijaite, Juan JesusPoma Porras, Orlando AlanSumire, David A.Fernandez Rojas, Joel HugoEchevarria, Maycol O.Environmental pollution and its effects on global warming and climate change are a key concern for all life on our planet. That is why meteorological variables such as maximum temperature, solar radiation, and ultraviolet levels were analyzed in this study, with a...Book chapter10.1007/978-981-16-2380-6_17https://hdl.handle.net/20.500.15037/333W3200276786enLecture notes in networks and systems978981162379097898116238062367-33702367-33892021-09-162026-06-13T08:11:01Z2026-06-13T08:11:01Z
spellingShingle Soria Quijaite, Juan Jesus
Poma Porras, Orlando Alan
Sumire, David A.
Fernandez Rojas, Joel Hugo
Echevarria, Maycol O.
Machine Learning with Meteorological Variables for the Prediction of the Electric Field in East Lima, Peru
title Machine Learning with Meteorological Variables for the Prediction of the Electric Field in East Lima, Peru
title_full Machine Learning with Meteorological Variables for the Prediction of the Electric Field in East Lima, Peru
title_fullStr Machine Learning with Meteorological Variables for the Prediction of the Electric Field in East Lima, Peru
title_full_unstemmed Machine Learning with Meteorological Variables for the Prediction of the Electric Field in East Lima, Peru
title_short Machine Learning with Meteorological Variables for the Prediction of the Electric Field in East Lima, Peru
title_sort machine learning with meteorological variables for the prediction of the electric field in east lima peru
url https://hdl.handle.net/20.500.15037/333
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AT sumiredavida machinelearningwithmeteorologicalvariablesforthepredictionoftheelectricfieldineastlimaperu
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