Power Quality Prediction designed as Binary Classification in AC Coupling Off-Grid System
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86100500" target="_blank" >RIV/61989100:27240/16:86100500 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27730/16:86100500 RIV/61989100:27740/16:86100500
Result on the web
<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7555551" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7555551</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/EEEIC.2016.7555551" target="_blank" >10.1109/EEEIC.2016.7555551</a>
Alternative languages
Result language
angličtina
Original language name
Power Quality Prediction designed as Binary Classification in AC Coupling Off-Grid System
Original language description
one of the most critical problems of autonomous energy systems (so called Off-Grid systems) is the keeping of the power quality parameters (PQP) in the requested limits. This paper focuses on development of a simple binary classification as a tool for the forecasting of a PQP. This tool will help as an advisor for a shifting of the load in the Off-Grid system, which keeps the PQP in the requested limits. Some of the most frequently applied machine learning (ML) algorithms like artificial neural network, support vector machine and decision trees with bagging and boosting technique arc used in this paper to demonstrate this way of solving the PQP forecasting.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LO1404" target="_blank" >LO1404: Sustainable Development of Center ENET</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2016 IEEE 16TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (EEEIC)
ISBN
978-1-5090-2320-2
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
IEEE
Place of publication
NEW YORK
Event location
Florence
Event date
Jun 7, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000387085800127