The effect of humidity in a weather-sensitive peak load forecasting model

Contaxi, E; Delkis, C; Kavatza, S; Vournas, C

dc.contributor.author	Contaxi, E	en
dc.contributor.author	Delkis, C	en
dc.contributor.author	Kavatza, S	en
dc.contributor.author	Vournas, C	en
dc.date.accessioned	2014-03-01T02:44:13Z
dc.date.available	2014-03-01T02:44:13Z
dc.date.issued	2006	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31756
dc.subject	Non-weather sensitive and weather sensitive load components	en
dc.subject	Peak load forecasting	en
dc.subject	Relative humidity	en
dc.subject	Temperature	en
dc.subject	Weather-load models	en
dc.subject.other	Climatic conditions	en
dc.subject.other	Economic growths	en
dc.subject.other	Mediterranean countries	en
dc.subject.other	Numerical results	en
dc.subject.other	Peak load	en
dc.subject.other	Peak load forecasting	en
dc.subject.other	Relative humidities	en
dc.subject.other	Sensitive components	en
dc.subject.other	Weather sensitive loads	en
dc.subject.other	Wind velocities	en
dc.subject.other	Economics	en
dc.subject.other	Power transmission	en
dc.subject.other	Temperature	en
dc.subject.other	Weather forecasting	en
dc.subject.other	Electric load forecasting	en
dc.title	The effect of humidity in a weather-sensitive peak load forecasting model	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/PSCE.2006.296527	en
heal.identifier.secondary	http://dx.doi.org/10.1109/PSCE.2006.296527	en
heal.identifier.secondary	4075966	en
heal.publicationDate	2006	en
heal.abstract	When considering mid-term peak load evolution, it is crucial to estimate the impact of economic growth as well as the effect of climatic conditions. In order to take into account the impact of both the above-mentioned parameters, many peak load forecasting approaches are based on the decomposition of loads into non-weather sensitive and weather sensitive components. The most commonly considered weather variable is temperature, while other variables such as relative humidity, wind velocity, cloudiness etc can have a significant effect. In this paper a wellestablished weather sensitive methodology for peak load forecasting is extended in order to take into account the effect of relative humidity on peak loads. The resulting methodology is applied to the system of Cyprus, a Mediterranean country where high levels of relative humidity are typical. Numerical results are presented and compared to forecast results where the effect of relative humidity is neglected. © 2006 IEEE.	en
heal.journalName	2006 IEEE PES Power Systems Conference and Exposition, PSCE 2006 - Proceedings	en
dc.identifier.doi	10.1109/PSCE.2006.296527	en
dc.identifier.spage	1528	en
dc.identifier.epage	1534	en