Price volatility analysis by Grey disaster theory

Li Xie, Hua Zheng, Guo-ying Fan
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Abstract

Since the electricity market came into being, price volatility is along a difficult and unavoidable problem that makes the market participants face with great risks. But due to the short development of the deregulation, price and its relative data are insufficient, and then price researches have become a typical small-sampled problem. No doubt, such data condition have restricted the application and generalization ability of traditional methods. Then volatility analysis on the electricity price is along a focused and hot problem in the research fields of the electricity market. To solve the above problems, a novel model for price volatility analysis is proposed by grey disaster prediction, which aims at forecasting when the next price volatility will happen. After studying on the tendency when the price volatilities happen, this work builds a grey model to performing the price volatility prediction. Finally numerical experiments are applied to test the validity of the proposed model.
灰色灾难理论的价格波动分析
自电力市场产生以来,价格波动一直是一个难以回避的难题,使市场参与者面临着很大的风险。但由于我国放开管制的时间不长,价格及其相关数据不足,价格研究成为典型的小样本问题。这样的数据条件无疑限制了传统方法的应用和泛化能力。因此,电价波动分析一直是电力市场研究领域关注的热点问题。针对上述问题,提出了一种基于灰色灾害预测的价格波动分析新模型,该模型旨在预测下一次价格波动发生的时间。在研究了价格波动发生时的趋势后,本文建立了灰色模型对价格波动进行预测。最后通过数值实验验证了所提模型的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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