Short -Term Wind Power Plant Predicting With Artificial Neural Network

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27730%2F15%3A86094073" target="_blank" >RIV/61989100:27730/15:86094073 - isvavai.cz</a>

Result on the web

<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7161192" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7161192</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/EPE.2015.7161192" target="_blank" >10.1109/EPE.2015.7161192</a>

Result language

angličtina

Original language name

Short -Term Wind Power Plant Predicting With Artificial Neural Network

Original language description

Paper presents a short -term power prediction for a wind power plant located at VSB-TUO, Ostrava using multilayer ANN approach. Simulation results are reported, showing that the estimated wind speed values (predicted by the proposed network) are in goodagreement with the experimental measured values.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JE - Non-nuclear power engineering, energy consumption and utilization

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2015

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 2015 16th International Scientific Conference on Electric Power Engineering, EPE 2015

ISBN

978-1-4673-6788-2

ISSN

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e-ISSN

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Number of pages

5

Pages from-to

584-588

Publisher name

Institute of Electrical and Electronics Engineers

Place of publication

Prague

Event location

Kouty nad Desnou

Event date

May 20, 2015

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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