An Intelligent Weather Station
Accurate measurements of global solar radiation, atmospheric temperature and relative humidity, as well as the availability of the predictions of their evolution over time, are important for different areas of applications, such as agriculture, renewable energy and energy management, or thermal comf...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2015-12-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/15/12/29841 |
| _version_ | 1798025365558394880 |
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| author | Gonçalo Mestre Antonio Ruano Helder Duarte Sergio Silva Hamid Khosravani Shabnam Pesteh Pedro M. Ferreira Ricardo Horta |
| author_facet | Gonçalo Mestre Antonio Ruano Helder Duarte Sergio Silva Hamid Khosravani Shabnam Pesteh Pedro M. Ferreira Ricardo Horta |
| author_sort | Gonçalo Mestre |
| collection | DOAJ |
| description | Accurate measurements of global solar radiation, atmospheric temperature and relative humidity, as well as the availability of the predictions of their evolution over time, are important for different areas of applications, such as agriculture, renewable energy and energy management, or thermal comfort in buildings. For this reason, an intelligent, light-weight, self-powered and portable sensor was developed, using a nearest-neighbors (NEN) algorithm and artificial neural network (ANN) models as the time-series predictor mechanisms. The hardware and software design of the implemented prototype are described, as well as the forecasting performance related to the three atmospheric variables, using both approaches, over a prediction horizon of 48-steps-ahead. |
| first_indexed | 2024-04-11T18:17:38Z |
| format | Article |
| id | doaj.art-752323e22c19488e81ce34441d2c4bd0 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T18:17:38Z |
| publishDate | 2015-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-752323e22c19488e81ce34441d2c4bd02022-12-22T04:09:50ZengMDPI AGSensors1424-82202015-12-011512310053102210.3390/s151229841s151229841An Intelligent Weather StationGonçalo Mestre0Antonio Ruano1Helder Duarte2Sergio Silva3Hamid Khosravani4Shabnam Pesteh5Pedro M. Ferreira6Ricardo Horta7EasySensing—Intelligent Systems, Centro Empresarial de Gambelas, Pav A5, Campus de Gambelas, University of Algarve, 8005-139 Faro, PortugalFaculty of Science and Technology, Campus de Gambelas, University of Algarve, 8005-139 Faro, PortugalFaculty of Science and Technology, Campus de Gambelas, University of Algarve, 8005-139 Faro, PortugalEasySensing—Intelligent Systems, Centro Empresarial de Gambelas, Pav A5, Campus de Gambelas, University of Algarve, 8005-139 Faro, PortugalFaculty of Science and Technology, Campus de Gambelas, University of Algarve, 8005-139 Faro, PortugalFaculty of Science and Technology, Campus de Gambelas, University of Algarve, 8005-139 Faro, PortugalLaSIGE, Faculdade de Ciências, Universidade de Lisboa, PortugalRolear SA, 8001-906 Faro, PortugalAccurate measurements of global solar radiation, atmospheric temperature and relative humidity, as well as the availability of the predictions of their evolution over time, are important for different areas of applications, such as agriculture, renewable energy and energy management, or thermal comfort in buildings. For this reason, an intelligent, light-weight, self-powered and portable sensor was developed, using a nearest-neighbors (NEN) algorithm and artificial neural network (ANN) models as the time-series predictor mechanisms. The hardware and software design of the implemented prototype are described, as well as the forecasting performance related to the three atmospheric variables, using both approaches, over a prediction horizon of 48-steps-ahead.http://www.mdpi.com/1424-8220/15/12/29841weather stationself-powered deviceneural networkspredictionwireless communicationsMOGA design |
| spellingShingle | Gonçalo Mestre Antonio Ruano Helder Duarte Sergio Silva Hamid Khosravani Shabnam Pesteh Pedro M. Ferreira Ricardo Horta An Intelligent Weather Station Sensors weather station self-powered device neural networks prediction wireless communications MOGA design |
| title | An Intelligent Weather Station |
| title_full | An Intelligent Weather Station |
| title_fullStr | An Intelligent Weather Station |
| title_full_unstemmed | An Intelligent Weather Station |
| title_short | An Intelligent Weather Station |
| title_sort | intelligent weather station |
| topic | weather station self-powered device neural networks prediction wireless communications MOGA design |
| url | http://www.mdpi.com/1424-8220/15/12/29841 |
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