An Intelligent Weather Station

Sensors

Gon๺lo Mestre⁴  Antonio Ruano³  Helder Duarte³  Sergio Silva⁴  Hamid Khosravani³  Shabnam Pesteh³  Pedro M. Ferreira²  Ricardo Horta¹ 

[1] Rolear SA, 8001-906 Faro, Portugal;LaSIGE, Faculdade de Ciências, Universidade de Lisboa, Portugal;Faculty of Science and Technology, Campus de Gambelas, University of Algarve, 8005-139 Faro, Portugal;EasySensing—Intelligent Systems, Centro Empresarial de Gambelas, Pav A5, Campus de Gambelas, University of Algarve, 8005-139 Faro, Portugal;

关键词: weather station;    self-powered device;    neural networks;    prediction;    wireless communications;    MOGA design;   

DOI  :  10.3390/s151229841

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.