Developing a matlab tool while exploiting neural networks for combined prediction of hour's ahead system load along with irradiation, to estimate the system load covered by PV integrated systems

Kolentini, E; Sideratos, G; Rikos, V; Hatziargyriou, N

dc.contributor.author	Kolentini, E	en
dc.contributor.author	Sideratos, G	en
dc.contributor.author	Rikos, V	en
dc.contributor.author	Hatziargyriou, N	en
dc.date.accessioned	2014-03-01T02:46:06Z
dc.date.available	2014-03-01T02:46:06Z
dc.date.issued	2009	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32547
dc.subject	Grid integration	en
dc.subject	Matlab GUI tool	en
dc.subject	Neural networks (NN)	en
dc.subject	Photovoltaic systems (PV)	en
dc.subject	Renewable energy systems (RES)	en
dc.subject	System load	en
dc.subject.other	Grid integration	en
dc.subject.other	Neural networks (NN)	en
dc.subject.other	Photovoltaic systems (PV)	en
dc.subject.other	Renewable energy systems (RES)	en
dc.subject.other	System load	en
dc.subject.other	Electric power supplies to apparatus	en
dc.subject.other	Electric power systems	en
dc.subject.other	Electromagnetic wave emission	en
dc.subject.other	Equations of state	en
dc.subject.other	Graphical user interfaces	en
dc.subject.other	MATLAB	en
dc.subject.other	Neural networks	en
dc.subject.other	Photovoltaic effects	en
dc.subject.other	Renewable energy resources	en
dc.title	Developing a matlab tool while exploiting neural networks for combined prediction of hour's ahead system load along with irradiation, to estimate the system load covered by PV integrated systems	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICCEP.2009.5212061	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICCEP.2009.5212061	en
heal.identifier.secondary	5212061	en
heal.publicationDate	2009	en
heal.abstract	Renewable energy systems (RES), being a controversial issue regarding their integration into the electric power systems, create the necessity for research. In order to take part in the electricity market, a critical point is the prediction of the system load as well as the prediction of the RES production. Within this scope, a matlab tool was developed to facilitate both the prediction of the system load as well as the PV production in several penetration levels. © 2009 IEEE.	en
heal.journalName	2009 International Conference on Clean Electrical Power, ICCEP 2009	en
dc.identifier.doi	10.1109/ICCEP.2009.5212061	en
dc.identifier.spage	182	en
dc.identifier.epage	186	en