Design and Implementation of an LSTM Model with Embeddings on MCUs for Prediction of Meteorological Variables

Design and Implementation of an LSTM Model with Embeddings on MCUs for Prediction of Meteorological Variables

The use of recurrent neural networks has proven effective in time series prediction tasks such as weather. However, their use in resource-limited systems such as MCUs presents difficulties in terms of both size and stability with longer prediction windows. In this context, we propose a variant of th...

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Bibliographic Details
Main Authors: Jhan Piero Paulo Merma Yucra, David Juan Cerezo Quina, German Alberto Echaiz Espinoza, Manuel Alejandro Valderrama Solis, Daniel Domingo Yanyachi Aco Cardenas, Andrés Ortiz Salazar
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Sensors
Subjects:
edge computing
embeddings
LSTM
climate prediction
Online Access:https://www.mdpi.com/1424-8220/25/12/3601
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