dc.contributor.author |
Papathanassiou, S |
en |
dc.contributor.author |
Kiartzis, S |
en |
dc.contributor.author |
Papadopoulos, M |
en |
dc.contributor.author |
Kladas, A |
en |
dc.date.accessioned |
2014-03-01T01:49:40Z |
|
dc.date.available |
2014-03-01T01:49:40Z |
|
dc.date.issued |
2000 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/25886 |
|
dc.subject |
Distributed Networks |
en |
dc.subject |
Normal Operator |
en |
dc.subject |
Simulation Model |
en |
dc.subject |
Wind Speed |
en |
dc.subject |
Wind Turbine |
en |
dc.subject |
Neural Network |
en |
dc.subject |
Neural Network Model |
en |
dc.title |
Wind Turbine Flicker Calculation using Neural Networks |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1260/0309524001495701 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1260/0309524001495701 |
en |
heal.publicationDate |
2000 |
en |
heal.abstract |
ABSTRACT The connection of wind turbines to the distribution networks may affect the voltage quality offered to the consumers. One of the factors contributing to this effect are the rapid variations of the wind turbine output power, which cause respective fluctuations in the supply voltage, referred to as flicker. This paper presents a neural network based model for wind turbine |
en |
heal.journalName |
Wind Engineering |
en |
dc.identifier.doi |
10.1260/0309524001495701 |
en |