Wavelet Study of Meteorological Data Collected by Arduino-Weather Station: Impact on Solar Energy Collection Technology

Wavelet Study of Meteorological Data Collected by Arduino-Weather Station: Impact on Solar Energy Collection Technology

Meteorological data collected by an automated LSI Lastem weather station connected with an Arduino device for remote acquisition are reported and discussed. Weather station, located at 38° 15’ 35.10’’ N latitude and 15° 35’ 58.86’’ E longitude, registered data which were analysed by wavelet transfor...

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Main Authors: Caccamo Maria Teresa, Calabró Emanuele, Cannuli Antonio, Magazù Salvatore
Format: Article
Language:English
Published: EDP Sciences 2016-01-01
Series:MATEC Web of Conferences
Online Access:http://dx.doi.org/10.1051/matecconf/20165502004
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spelling doaj-bea198d77b994e57ab280da21e07e6982021-02-02T04:33:09ZengEDP SciencesMATEC Web of Conferences2261-236X2016-01-01550200410.1051/matecconf/20165502004matecconf_acpee2016_02004Wavelet Study of Meteorological Data Collected by Arduino-Weather Station: Impact on Solar Energy Collection TechnologyCaccamo Maria Teresa0Calabró Emanuele1Cannuli Antonio2Magazù Salvatore3Department of Mathematics and Computer Science, Physics and Earth Science, Messina University, Viale F. Stagno D’Alcontres, S. AgataDepartment of Mathematics and Computer Science, Physics and Earth Science, Messina University, Viale F. Stagno D’Alcontres, S. AgataDepartment of Mathematics and Computer Science, Physics and Earth Science, Messina University, Viale F. Stagno D’Alcontres, S. AgataDepartment of Mathematics and Computer Science, Physics and Earth Science, Messina University, Viale F. Stagno D’Alcontres, S. AgataMeteorological data collected by an automated LSI Lastem weather station connected with an Arduino device for remote acquisition are reported and discussed. Weather station, located at 38° 15’ 35.10’’ N latitude and 15° 35’ 58.86’’ E longitude, registered data which were analysed by wavelet transform to obtain time-frequency characterization of the signals. Such an approach allowed to highlight the correlation existing among the registered meteorological data. The results show a positive correlation between the minimum temperature and the maximum temperature values whereas a negative correlation emerges between daily rainfall and minimum temperature values as well as for daily rainfall and maximum temperature values. These results suggest the possibility to estimate the global and diffuse solar radiation using more reliable climatologic parameters for optimizing solar energy collected by solar panels.http://dx.doi.org/10.1051/matecconf/20165502004
collection DOAJ
language English
format Article
sources DOAJ
author Caccamo Maria Teresa
Calabró Emanuele
Cannuli Antonio
Magazù Salvatore
spellingShingle Caccamo Maria Teresa
Calabró Emanuele
Cannuli Antonio
Magazù Salvatore
Wavelet Study of Meteorological Data Collected by Arduino-Weather Station: Impact on Solar Energy Collection Technology
MATEC Web of Conferences
author_facet Caccamo Maria Teresa
Calabró Emanuele
Cannuli Antonio
Magazù Salvatore
author_sort Caccamo Maria Teresa
title Wavelet Study of Meteorological Data Collected by Arduino-Weather Station: Impact on Solar Energy Collection Technology
title_short Wavelet Study of Meteorological Data Collected by Arduino-Weather Station: Impact on Solar Energy Collection Technology
title_full Wavelet Study of Meteorological Data Collected by Arduino-Weather Station: Impact on Solar Energy Collection Technology
title_fullStr Wavelet Study of Meteorological Data Collected by Arduino-Weather Station: Impact on Solar Energy Collection Technology
title_full_unstemmed Wavelet Study of Meteorological Data Collected by Arduino-Weather Station: Impact on Solar Energy Collection Technology
title_sort wavelet study of meteorological data collected by arduino-weather station: impact on solar energy collection technology
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2016-01-01
description Meteorological data collected by an automated LSI Lastem weather station connected with an Arduino device for remote acquisition are reported and discussed. Weather station, located at 38° 15’ 35.10’’ N latitude and 15° 35’ 58.86’’ E longitude, registered data which were analysed by wavelet transform to obtain time-frequency characterization of the signals. Such an approach allowed to highlight the correlation existing among the registered meteorological data. The results show a positive correlation between the minimum temperature and the maximum temperature values whereas a negative correlation emerges between daily rainfall and minimum temperature values as well as for daily rainfall and maximum temperature values. These results suggest the possibility to estimate the global and diffuse solar radiation using more reliable climatologic parameters for optimizing solar energy collected by solar panels.
url http://dx.doi.org/10.1051/matecconf/20165502004
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AT calabroemanuele waveletstudyofmeteorologicaldatacollectedbyarduinoweatherstationimpactonsolarenergycollectiontechnology
AT cannuliantonio waveletstudyofmeteorologicaldatacollectedbyarduinoweatherstationimpactonsolarenergycollectiontechnology
AT magazusalvatore waveletstudyofmeteorologicaldatacollectedbyarduinoweatherstationimpactonsolarenergycollectiontechnology
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