Analysis of the relationship between load profile and weather condition

Dong Shi, Ran Li, Rao Shi, Furong Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

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
PublisherIEEE
Pages1-5
DOIs
Publication statusPublished - 29 Oct 2014
EventPES General Meeting/ Conference & Exposition, 2014 IEEE - National Harbor, USA United States
Duration: 27 Jul 201431 Jul 2014

Conference

ConferencePES General Meeting/ Conference & Exposition, 2014 IEEE
CountryUSA United States
CityNational Harbor
Period27/07/1431/07/14

    Fingerprint

Keywords

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

Cite this

Shi, D., Li, R., Shi, R., & Li, F. (2014). Analysis of the relationship between load profile and weather condition. In PES General Meeting /Conference & Exposition, 2014 IEEE (pp. 1-5). IEEE. https://doi.org/10.1109/PESGM.2014.6939855