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Bootstrap方法在基于ARMA-GARCH模型的电力市场价格区间预测中的应用(英文)
引用本文:陈霞,董朝阳,王殿辉. Bootstrap方法在基于ARMA-GARCH模型的电力市场价格区间预测中的应用(英文)[J]. 电工标准与质量, 2008, 0(3)
作者姓名:陈霞  董朝阳  王殿辉
作者单位:昆士兰大学信息技术与电机工程学院;拉筹伯大学计算机科学与工程系;
摘    要:当今开放式电力市场是一个基于竟价拍卖形式的市场,市场清算价格(market clearing price-MCP)主要受变化的供需平衡、市场参与者的竞价策略以及电力企业已经签订的双边买卖合同等因素影响,现有的价格预测技术只集中在如何提高价格预测准确度上,而忽视了对预测本身不确定性的度量;其中ARMA-GARCH价格预测模型的前提是假设预测误差符合正态分布,而实际电力市场价格非线性波动使得正态分布的假设完全不成立.针对这一现象,将不依赖任何分布假设的Bootstrap技术应用于基于ARMA-GARCH模型的电力市场清算价格区间预测,并对澳大利亚电力市场的真实数据进行分析评测,精度高,可靠性好.

关 键 词:Bootstrap  区间预测  GARCH  电力市场清算价格  

Bootstrap prediction intervals for ARMA-GARCH based electricity market price forecasting
CHEN Xia,DONG Zhao-yang,WANG Dian-hui. Bootstrap prediction intervals for ARMA-GARCH based electricity market price forecasting[J]. Journal of Changsha University of Electric Power(Natural Science Edition), 2008, 0(3)
Authors:CHEN Xia  DONG Zhao-yang  WANG Dian-hui
Affiliation:CHEN Xia1,DONG Zhao-yang1,WANG Dian-hui2 (1.School of Information Technology , Electrical Engineering,University of Queensl,,QLD 4067,Australia,2.Department of Computer Science , Computer Engineering,La Trobe University,Vic 3086,Australia)
Abstract:The deregulated electricity market is an auction market in which the market clearing price(MCP) is heavily affected by the nonstationary supply/demand balance,biding strategies of market participants,bilateral contracts the companies have signed etc.Existing price forecasting techniques have been devoted to finding thebestpoint estimates rather than quantifying the predictive uncertainty.Interval/density forecasts are not new for most classic time series models,such ARMA-GARCH,where prediction intervals can...
Keywords:bootstrap  prediction interval  GARCH  electricity market clearing price  
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