Fig. 7
From: Comparative analysis of deep learning architectures in solar power prediction
Predicted versus actual solar power generation (in kW) on the test dataset for different deep learning models: (a) Transformer, (b) LSTM, (c) GRU, (d) CNN, (e) InformerLite, (f) SimpleRNN, (g) Temporal Convolutional Network (TCN), and (h) Autoencoder.
