Analysis of the relationship between load profile and weather condition
Shi, D., Li, R., Shi, R. and Li, F., 2014. Analysis of the relationship between load profile and weather condition. In: PES General Meeting/ Conference & Exposition, 2014 IEEE, 2014-07-27 - 2014-07-31. IEEE, pp. 1-5.
Related documents:This repository does not currently have the full-text of this item.
You may be able to access a copy if URLs are provided below. (Contact Author)
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.
|Item Type||Conference or Workshop Items (UNSPECIFIED)|
|Creators||Shi, D., Li, R., Shi, R. and Li, F.|
|Uncontrolled Keywords||distribution network,emd,load forecasting,variation,weather sensitive|
|Departments||Faculty of Engineering & Design > Electronic & Electrical Engineering|
|Research Centres||Centre for Sustainable Power Distribution|
EPSRC Centre for Doctoral Training in Statistical Mathematics (SAMBa)
Actions (login required)