期刊文献+

影响上海电力需求的主要因素及电力需求预测 被引量:9

Main factors affecting Shanghai electric power demand and its forecasting
下载PDF
导出
摘要 对上海改革开放后,特别是浦东新区开发后的上海宏观经济发展和电力需求的发展历程进行分析,探索挖掘经济发展模式、产业结构调整以及季节性气温等与上海电力需求之间的关系,从产值单耗、各产业发展趋势和负荷结构3个方面对2011—2012年的上海电力需求进行预测。 After reform and opening up in Shanghai, especially after the development of Pudong New Area, Shanghai macroeconomic development and the development process of electricity demand is analyzed to explore the relationship between electricity demand in Shanghai and economic development mode, industrial structure adjustment and seasonal air temperature and etc. From the three aspects of output value consumption perunit, the industry development trends and load structure in Shanghai electricity demand from 2011 to 2012 is forecasted.
作者 黄晨宏
出处 《电力需求侧管理》 2011年第3期72-76,共5页 Power Demand Side Management
关键词 经济发展模式 产业结构调整 季节性气温 电力需求 economic development mode industrial restructuring seasonal temperature power demand
  • 相关文献

同被引文献61

  • 1王鹏飞.多元线性回归方法在中国用电量预测中的应用研究[J].东北电力技术,2005,26(8):16-18. 被引量:18
  • 2Dilaver Z, Hunt L C. Industrial electricity demand for Turkey: A structural time series analysis[J]. Energy Economics, 2011, 33(3): 426-436.
  • 3Erdogdu E. Electricity demand analysis using cointegration and ARIMA modelling: A case study of Turkey[J]. Energy Policy, 2007, 35(2): 1129-1146.
  • 4Psiloglou B E, Giannakopoulos C, Majithia S, et al. Factors affecting electricity demand in Athens, Greece and London, UK: A comparative assessment[J]. Energy, 2009, 34(11): 1855-1863.
  • 5Amusaa H, Amusa K, Mabugu R. Aggregate demand for electricity in South Africa: An analysis using the bounds testing approach to eointegration[J]. Energy Policy, 2009, 37(10): 4167-4175.
  • 6郭彦东,李荣.基于支持向量回归的年电力需求预测方法[J].控制理论与应用,2008,27(6):6-8.
  • 7Alvarez-Ramirez J, Escarela-Perez R. Time-dependent cor- relations in electricity markets [J].Energy Economics, 2010, 32(2): 269-277.
  • 8Mirasgedis S, Sarafidis Y, Georgopoulou E, et al. Modeling framework for estimating impacts of climate change on elec- tricity" demand at regional level: Case of Greece [ J ]. ENERGY CONVERSION AND MANAGEMENT, 2007, 48(5): 1737-1750.
  • 9Azadeh A, Saberi M, Ghaderi S F, et al. Improved estimation of electricity demand function by integration of fuzzy system and data mining approach [J]. ENERGY CONVERSION AND MANAGEMENT, 2008, 49(8): 2165-2177.
  • 10Hosoe N, Akiyama S I. Regional electric power demand elas- ticities of Japan' s industrial and commercial sectors [J]. EN- ERGY POLICY, 2009, 37(11): 4313-4319.

引证文献9

二级引证文献26

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部