Fig. 2
From: Seasonal quantile forecasting of solar photovoltaic power using Q-CNN-GRU
Convolutional neural network (CNN) architecture showcasing the sequence of layers, including the input layer, convolutional layers with filters, max pooling layers for dimensionality reduction, fully connected layers, and the output layer, designed for spatial feature extraction in solar power forecasting applications.
