Numerical Models for Wind Power Plant Power Prediction

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F13%3APU103857" target="_blank" >RIV/00216305:26220/13:PU103857 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Numerical Models for Wind Power Plant Power Prediction
Original language description
The paper deals with prediction of generated power from wind power plants. At the beginning there are mentioned basic purposes of prediction and simulation. Predicting options and their difficulties are discussed together with prediction advance and prediction step requirements. Various ways of wind supply prediction can bring different results. Difficulty and expected effect on prediction accuracy is estimated as well. In second part there are made basic simulation models, which are subsequently optimized. There were used Autoregressive model, Moving Average model and statistical Markov switching process. Programmed models are tested on real data from 2 MW Vestas wind turbine. Achieved results are analysed by sta-tistical methods and consequently evaluated.
Czech name
—
Czech description
—

Type
D - Article in proceedings
CEP classification
JE - Non-nuclear power engineering, energy consumption and utilization
OECD FORD branch
—

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 14th International Scientific Conference Electric Power Engineering 2013
ISBN
978-80-248-2988-3
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
759-762
Publisher name
VSB ? Technical University of Ostrava
Place of publication
Ostrava
Event location
Kouty nad Desnou
Event date
May 28, 2013
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
—

Similar results(10)