id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
easat-1689	Yaprakdal, Fatma 	A comparative analysis of single learning and ensemble learning approaches for the forecasting of electricity prices	2024	11	.pdf	application/pdf	5916	352	50	Ensemble learning models like AdaBoost, Gradient Boosting, and Bagging leverage the strengths of multiple base learners to enhance forecast accuracy. The actual and predicted values of single models: (a) LSTM, (b) Bi-LSTM, (c) GRU; and ensemble learning models: (d) Adaboost-LSTM, (e) Adaboost-BLSTM, (f) Adaboost-GRU.	cache/easat-1689.pdf	txt/easat-1689.txt