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Spot electricity price forecasting in Indian electricity market using autoregressive-GARCH models

机译:使用自回归GARCH模型预测印度电力市场中的现货电价

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In this study we investigate Spot electricity price forecasting performance of Autoregressive-GARCH models on Indian spot electricity price series. Hourly spot electricity price data for each of the five regions of Indian Electricity market from 1st of October 2010 to 15th November 2013 is used for the study to evaluate forecasting performance of the calibrated models. The conditional mean and conditional variance equations are estimated and one-step-ahead forecasts with a rolling window is performed. The fact that India being the only country in the world having power exchanges in-spite of demand outstripping supply and peak power shortage even to this day, further emphasizes the significance and criticality of spot electricity price forecasting from a power market participant's perspective and its practical relevance for Open access consumers in India.
机译:在这项研究中,我们调查了Autoregressive-GARCH模型在印度现货电价序列上的现货电价预测性能。从2010年10月1日至2013年11月15日,印度电力市场五个区域的每小时现货电价数据用于研究,以评估校准模型的预测性能。估计条件均值和条件方差方程,并执行带有滚动窗口的一步一步预测。尽管到目前为止,印度仍然是世界上唯一一个电力交换的国家,尽管需求超过供应,并且电力短缺高峰,这一事实进一步强调了从电力市场参与者的角度及其实用性来看,现货电价预测的重要性和重要性。与印度开放访问用户的相关性。

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