Using Long Short-Term Memory (LSTM) and Internet of Things (IoT) for Localized Surface Temperature Forecasting in an Urban Environment

Using Long Short-Term Memory (LSTM) and Internet of Things (IoT) for Localized Surface Temperature Forecasting in an Urban Environment

The rising temperature is one of the key indicators of a warming climate, capable of causing extensive stress to biological systems as well as built structures.Ambient temperature collected at ground level can have higher variability than regional weather forecasts, which fail to capture local dynam...

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Bibliographic Details
Main Authors: Manzhu Yu, Fangcao Xu, Weiming Hu, Jian Sun, Guido Cervone
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Air temperature
Internet of Things (IoT)
long short-term memory (LSTM)
urban weather
Online Access:https://ieeexplore.ieee.org/document/9552907/

Internet

https://ieeexplore.ieee.org/document/9552907/

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