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  • 标题:Forecasting Of the Electricity Demand in Libya Using Time Series Stochastic Method for Long-Term From 2011-2022.
  • 本地全文:下载
  • 作者:Salah H. E. Saleh ; Ahmed Nassar Mansur ; Naji Abdalaziz Ali
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2014
  • 卷号:3
  • 期号:5
  • 页码:12529
  • 出版社:S&S Publications
  • 摘要:Forecasting electricity consumption is one of the most important operational issues in order to the use facilitysystems and power sources optimally. Electricity demand forecasting process will ultimately have an important role in theeconomic and security of the energy operating system. The objectives of this research are to forecast long-term electricitydemand for 2011-2022 and to provide mathematical data that can be used as consideration in deciding a particular policy inthe field of electricity supply. Thus, this paper studies a load demand based on quantitative forecasting model using a timeSeries Stochastic Method. SPSS and EViews7 Software analysis were applied. Application of stochastic time seriesforecasting based on data from 2000- 2010 and Mathematical analysis indicated a continuous growth of demand for oiland electricity there by increasing cost of energy due to rapid population growth in Libya from 2011-2022.
  • 关键词:Electricity; Demand; Forecasting; Libya; Long term; Stochastic Method
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