id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
easat-3998	Salim, Muhammed Sabri ; Sabri, Naseer ; Dheyab, Ali Abdul Rahman 	Artificial neural network weights-based new formula for solar power plant energy prediction	2024	11	.pdf	application/pdf	4680	324	55	5. Results and Discussion The artificial neural network (ANN) in this research was trained using a dataset of 28,896 experimental datapoints for photovoltaic power output from the Science Data Bank and Reference 9351 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 8, No. 6: 9345-9355, 2024 DOI: 10.55214/25768484.v8i6.3998 © 2024 by the authors; licensee Learning Gate PVOD They discovered that a nonlinear autoregressive semantic network effectively predicted solar module output power, with the maximum efficiency levels recorded at stages 3 and 6, demonstrating its potential for reliable prediction	cache/easat-3998.pdf	txt/easat-3998.txt