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Multifractal detrended cross-correlation analysis of Indian Electricity market

机译:印度电力市场的多重术后交叉相关分析

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In this paper, we investigate the cross-correlation behavior and multifractal characteristics of Indian electricity energy exchange rate time series of two extreme season's i.e. summer and winter through the recently developed multifractal detrended cross-correlation analysis method. For this purpose, we have collected the time series over 15 min time interval of the electricity market clearing volume and price before transmission congestion during peak summer i.e. month of May and peak winter i.e. month of December for the years 2012, 2013 and 2014. The cross-correlation analysis was carried out between volume and price of summer and winter data. From our analysis, we observe a cross over in time scale s~* of the fluctuation function and the scaling exponents were calculated for long term (>s~*) and short term (< s~*). For long term, cross-correlation behavior between price and volume show strong anti persistent behavior for both for summer and winter whereas in short-term, cross-correlation show persistent behavior for both summer and winter except summer in the year 2012. The multifractal nature is present in all the bivariate time series in all the years.
机译:本文研究了两个极端季节的印度电力能量汇率时间序列的互相关行为和多分手特性。夏季和冬季通过最近开发的多法递交互联分析方法。为此目的,我们已经收集了超过15分钟的电力市场清算量和价格的时间序列,在夏季夏季峰值夏季的传输拥塞之前,冬季冬季的月份和峰值冬季,2013年和2014年的月份。该互相关分析是在夏季和冬季数据的体积和价格之间进行的。从我们的分析来看,我们观察到在时间尺度的交叉过度的波动函数的S〜*,并且长期(> s〜*)和短期(

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