Author

Uwe Freiherr von Lukas

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Open access Aug 2026

Employing Long-Short-Term Memory Cells for Univariate Time Series Imputation in Weather Sensors Data

This study presents an imputation method that integrates forecasting and backcasting using Long-Short-Term Memory (LSTM) architecture for predicting blocks of consecutive missing values using a randomly generated absent group of data from a weather dataset.

Antonios Raptakis, Leonard Dervishi, Kristine Bauer et al. · Applied Sciences · 0 citations