id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
easat-2094	Yaprakdal, Fatma 	Hybrid CNN-GRU model for monthly electricity price forecasting: Performance evaluation on limited multivariable time-series Data	2024	13	.pdf	application/pdf	5825	326	48	Forecasting models Mean MAPE (%) Mean R² SVR 28.436 0.803 XGBoost 21.300 0.832 RF 16.157 0.937 LSTM 29.793 0.705 GRU 19.547 0.893 CNN-GRU 15.738 0.949 In this study, we evaluated the performance of various forecasting models—including CNN-GRU hybrid, GRU, LSTM, SVR, XGBoost, and RF—in predicting monthly electricity prices using a very small multivariable time-series dataset.	cache/easat-2094.pdf	txt/easat-2094.txt