Intelligent Systems for Power Load Forecasting: A Study Review

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10246975" target="_blank" >RIV/61989100:27240/20:10246975 - isvavai.cz</a>

Alternative codes found

RIV/61989100:27730/20:10246975

Result on the web

<a href="https://www.mdpi.com/1996-1073/13/22/6105" target="_blank" >https://www.mdpi.com/1996-1073/13/22/6105</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/en13226105" target="_blank" >10.3390/en13226105</a>

Result language

angličtina

Original language name

Intelligent Systems for Power Load Forecasting: A Study Review

Original language description

The study of power load forecasting is gaining greater significance nowadays, particularly with the use and integration of renewable power sources and external power stations. Power forecasting is an important task in the planning, control, and operation of utility power systems. In addition, load forecasting (LF) aims to estimate the power or energy needed to meet the required power or energy to supply the specific load. In this article, we introduce, review and compare different power load forecasting techniques. Our goal is to help in the process of explaining the problem of power load forecasting via brief descriptions of the proposed methods applied in the last decade. The study reviews previous research that deals with the design of intelligent systems for power forecasting using various methods. The methods are organized into five groups-Artificial Neural Network (ANN), Support Vector Regression, Decision Tree (DT), Linear Regression (LR), and Fuzzy Sets (FS). This way, the review provides a clear concept of power load forecasting for the purposes of future research and study.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

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)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2020

Confidentiality

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

Name of the periodical

Energies

ISSN

1996-1073

e-ISSN

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Volume of the periodical

13

Issue of the periodical within the volume

22

Country of publishing house

CH - SWITZERLAND

Number of pages

12

Pages from-to

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UT code for WoS article

000594093900001

EID of the result in the Scopus database

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