Power Quality Parameters Forecasting Based on SOM Maps with KNN Algorithm and Decision Tree

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27730%2F23%3A10253805" target="_blank" >RIV/61989100:27730/23:10253805 - isvavai.cz</a>

Alternative codes found

RIV/61989100:27240/23:10253805

Result on the web

<a href="https://ieeexplore.ieee.org/document/10149269" target="_blank" >https://ieeexplore.ieee.org/document/10149269</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/EPE58302.2023.10149269" target="_blank" >10.1109/EPE58302.2023.10149269</a>

Result language

angličtina

Original language name

Power Quality Parameters Forecasting Based on SOM Maps with KNN Algorithm and Decision Tree

Original language description

This study tested four forecasting models combined with 3x3 SOM maps for predicting power quality parameters (PQPs) named decision tree (DT), KNN algorithm, bagging decision tree (BGDT), and boosting decision tree (BODT). The input variables used are weather conditions (air temperature, wind speed, air pressure, Ultraviolet, solar irradiance) with states of four types of home appliances (AC heating, light, fridge, TV) represented by one decimal number. Target Outputs are Power Voltage (U), total harmonic distortion of voltage (THDu), total harmonic distortion of current (THDi), power factor (PF), and power load (PL). The experiments were carried out in two stages: in the first stage, clustering dataset using self-organizing maps (SOM), 3x3 SOM in total nine hexagon nodes was used. In the second stage, inside each node builds four forecasting models: decision tree (DT), K-Nearest Neighbor(KNN) algorithm, bagging decision tree (BGDT), and boosting decision tree (BODT). Root Mean Square Error (RMSE) was used for evaluating the performance of studied models.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

20200 - Electrical engineering, Electronic engineering, Information engineering

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

2023

Confidentiality

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

Article name in the collection

Proccedings of the 2023 23rd International Scientific Conference on Electric Power Engineering (EPE)

ISBN

979-8-3503-3594-1

ISSN

2376-5623

e-ISSN

2376-5631

Number of pages

6

Pages from-to

1-6

Publisher name

IEEE

Place of publication

Piscataway

Event location

Brno

Event date

May 24, 2023

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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