A Web-Based Autonomous Weather Monitoring System of the Town of Palermo and Its Utilization for Temperature Nowcasting
Giorgio Beccali1, Maurizio Cellura1, Simona Culotta1, Valerio Lo Brano1 and Antonino Marvuglia1
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Dipartimento di Ricerche Energetiche ed Ambientali (DREAM), Università degli Studi di Palermo, viale delle scienze, edificio 9, 90128 Palermo, Italy |
Abstract
Weather data are crucial to correctly design buildings and their heating and cooling systems and to assess their energy performances.
In the intensely urbanized towns the effect of climatic parameters is further emphasized by the “urban heat island” phenomenon,
known as the increase in the air temperature of urban areas, compared to the conditions measured in the extra-urban areas.
The analysis of the heat island needs detailed local climate data which can be collected only by a dedicated weather monitoring
system. The Department of Energy and Environmental Researches of the University of Palermo has built up a weather monitoring
system that works 24 hours per day and makes data available in real-time at the web site: www.dream.unipa.it/meteo. The data
collected by the system have been used to implement a NNARMAX model aiming to obtain short-term forecasts of the temperature
and map them over the monitored area.
Keywords web-based monitoring - artificial neural networks - NNARMAX - MLP - temperature nowcasting - weather
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