Piotr Sikora

Exploratory Analysis of Deep Learning Models for Forecasting Meteorological Parameters in the Agricultural Sector

A comparative evaluation of recurrent and hybrid deep learning architectures for multivariate forecasting of reference evapotranspiration, vapour pressure deficit, wind speed, and the sine and cosine components of wind direction indicates that convolutional feature extraction is more beneficial for short-term forecasti...