@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}, }