@article{(Open Science Index):https://publications.waset.org/pdf/1598,
	  title     = {Global Electricity Consumption Estimation Using Particle Swarm Optimization (PSO)},
	  author    = {E.Assareh and  M.A. Behrang and  R. Assareh and  N. Hedayat},
	  country	= {},
	  institution	= {},
	  abstract     = {An integrated Artificial Neural Network- Particle Swarm Optimization (PSO) is presented for analyzing global electricity consumption. To aim this purpose, following steps are done: STEP 1: in the first step, PSO is applied in order to determine world-s oil, natural gas, coal and primary energy demand equations based on socio-economic indicators. World-s population, Gross domestic product (GDP), oil trade movement and natural gas trade movement are used as socio-economic indicators in this study. For each socio-economic indicator, a feed-forward back propagation artificial neural network is trained and projected for future time domain. STEP 2: in the second step, global electricity consumption is projected based on the oil, natural gas, coal and primary energy consumption using PSO. global electricity consumption is forecasted up to year 2040.
},
	    journal   = {International Journal of Industrial and Manufacturing Engineering},
	  volume    = {5},
	  number    = {7},
	  year      = {2011},
	  pages     = {1252 - 1256},
	  ee        = {https://publications.waset.org/pdf/1598},
	  url   	= {https://publications.waset.org/vol/55},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 55, 2011},
	}