干旱区生态环境知识资源中心(Arid): Estimation and prediction of Jatropha cultivation areas in China and India

Arid

DOI	10.1016/j.renene.2021.10.104
	Estimation and prediction of Jatropha cultivation areas in China and India
	Shamsi, Meisam; Babazadeh, Reza
通讯作者	Babazadeh, R (corresponding author), Urmia Univ, Fac Engn, Orumiyeh, West Azerbaijan, Iran.
来源期刊	RENEWABLE ENERGY
ISSN	0960-1481
EISSN	1879-0682
出版年	2022
卷号	183 页码:548-560
英文摘要	The utilization of second-generation biofuel has been known as one of the sustainable solutions for energy challenges worldwide. Jatropha curcas L. (JCL), as a non-edible feedstock with high oil content fruits, has a promising potential for biodiesel production. JCL can grow in semi-arid and wasteland areas and has attracted many interests in recent years. Making efficient decisions for the production of JCL biofuels requires accurate forecasting of JCL cultivation areas. The present study develops an artificial neural network (ANN) model to predict the cultivation areas for JCL cultivation in China and India. Different structures of the ANN model are investigated for the ANN model, and the most appropriate one is determined. Eight input parameters were selected according to their impact on JCL development, including CO2 emission, Gross Domestic Product (GDP), oil price, fossil fuel energy consumption, renewable energy consumption, total energy use, population, and value-added agriculture. The mean absolute percentage error (MAPE) was used to validate the ANN models. The acquired results illustrate that the precision accuracy of the applied ANN model is 99.8%. Also, the results show that the JCL cultivation areas have increased by about 20% in China and have decreased by about 5% in India from 2010 to 2015. Finally, the achieved results from the ANN model are compared with different regression models to show the advantages of the ANN model. (c) 2021 Elsevier Ltd. All rights reserved.
英文关键词	Jatropha Forecasting Biodiesel Sustainable development Artificial neural network
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000722580200006
WOS关键词	ARTIFICIAL NEURAL-NETWORKS ; BIODIESEL PRODUCTION ; ENERGY-CONSUMPTION ; POWER FORECAST ; WIND-SPEED ; CURCAS ; TRANSESTERIFICATION ; OILS ; OPTIMIZATION ; PERFORMANCE
WOS类目	Green & Sustainable Science & Technology ; Energy & Fuels
WOS研究方向	Science & Technology - Other Topics ; Energy & Fuels
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/374418
作者单位	[Shamsi, Meisam; Babazadeh, Reza] Urmia Univ, Fac Engn, Orumiyeh, West Azerbaijan, Iran
推荐引用方式 GB/T 7714	Shamsi, Meisam,Babazadeh, Reza. Estimation and prediction of Jatropha cultivation areas in China and India[J],2022,183:548-560.
APA	Shamsi, Meisam,&Babazadeh, Reza.(2022).Estimation and prediction of Jatropha cultivation areas in China and India.RENEWABLE ENERGY,183,548-560.
MLA	Shamsi, Meisam,et al."Estimation and prediction of Jatropha cultivation areas in China and India".RENEWABLE ENERGY 183(2022):548-560.