id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
iogr-1326	Mohammed, Hussein; Okalla, Christian Emelu	Modelling Annual Natural Gas Demand Forecasting Using Non-Linear Autoregressive with Exogenous Input (NARX) Neural Networks: DOI: 10.14800/IOGR.1326	2024	16	.pdf	application/pdf	6051	303	48	The NARX model, known for its capability to handle nonlinear time series data with external inputs, was applied using key variables such as population, GDP per capita, natural gas reserves, and price, with the target output being natural gas demand. These findings demonstrate the effectiveness of the NARX model for forecasting natural gas demand, making it a valuable tool for energy planning and decision- making in Nigeria.	cache/iogr-1326.pdf	txt/iogr-1326.txt