Analysis of the relationship between load profile and weather condition

Dong Shi, Ran Li, Rao Shi, Furong Li

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

13 Citations (SciVal)


In order to make short-term load forecasting more accurate, the weather sensitive component of total load is identified through a new approach with an aim to investigate the relationship between temperature variation and load variation. After applying Empirical Mode Decomposition (EMD), the load variation can be separated into several parts and the one named residue with the lowest frequency shows a high degree of correlation with temperature variation in regression analysis. The correlation coefficient of winter days however changes in value and polarity over three time periods through a day, which is probably caused by human behaviors. The final regression results show that the residue of load variation, rather than real load and load variation, could represent the weather sensitive part of load well with a correlation coefficient around 0.9.

Original languageEnglish
Title of host publicationPES General Meeting /Conference & Exposition, 2014 IEEE
Publication statusPublished - 29 Oct 2014
EventPES General Meeting/ Conference & Exposition, 2014 IEEE - National Harbor, USA United States
Duration: 27 Jul 201431 Jul 2014


ConferencePES General Meeting/ Conference & Exposition, 2014 IEEE
Country/TerritoryUSA United States
CityNational Harbor


  • Distribution network
  • EMD
  • load forecasting
  • variation
  • weather sensitive


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