Real-Time AIoT-Driven Weather Forecasting on the Edge for Off-Grid Settings

Weather forecasting, given the ever-increasing occurrence of climate change-induced events, has been widely introduced as a method to offer accurate and timely forecasts for proactive measures and risk mitigation. Artificial intelligence of things (AIoT) offers promising solutions for short-term wea...

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Autors principals:	Sofia Polymeni, Georgios Spanos, Stefanos Georgiadis, Anastasios Pechlivanidis, Dimitris Tsiktsiris, Evangelos Athanasakis, Konstantinos Votis, Dimitrios Tzovaras, Georgios Kormentzas
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2026-05-01
Col·lecció:	Network
Matèries:	Artificial Intelligence of Things (AIoT) Edge AI Internet of Things (IoT) Machine Learning (ML) weather forecasting Wireless Sensor Network (WSN)
Accés en línia:	https://www.mdpi.com/2673-8732/6/2/34
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