Application of quantile regression method in prediction of daily electricity consumption in mid summer

doi:10.3969/j.issn.1009-1831.2018.03.006

Home > Archive>Volume 20, Issue 3, 2018 >24-27. DOI:10.3969/j.issn.1009-1831.2018.03.006

Application of quantile regression method in prediction of daily electricity consumption in mid summer
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                        10.3969/j.issn.1009-1831.2018.03.006
                    
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Affiliation:(Shanghai Climate Centre, Shanghai 200030, China)
Clc Number:F407.61；TK018
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Abstract:

The 2010—2012 midsummer daily electricity con sumption and temperature, precipitation, relative humidity of one southern city were used to explore the application of quantile regres

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MU Hai zhen. Application of quantile regression method in prediction of daily electricity consumption in mid summer[J].,2018,20(3):24-27.

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Received:February 01,2018
Revised:April 17,2018
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Online: July 17,2018
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