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Short-Term Forecasting of Electricity Consumption Using Artificial Neural Networks - an Overview (CROSBI ID 682500)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Barić, Ivan ; Grbić, Ratko ; Nyarko, Emmanuel Karlo Short-Term Forecasting of Electricity Consumption Using Artificial Neural Networks - an Overview // 2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). Institute of Electrical and Electronics Engineers (IEEE), 2019. str. 1076-1081 doi: 10.23919/MIPRO.2019.8757012

Podaci o odgovornosti

Barić, Ivan ; Grbić, Ratko ; Nyarko, Emmanuel Karlo

engleski

Short-Term Forecasting of Electricity Consumption Using Artificial Neural Networks - an Overview

The short-term forecasting of electricity consumption has emerged as an important area of research with the aim of increasing the efficiency and reliability of energy system operation. It plays a very important role in the field of scheduling, load analysis, planning and maintenance of the power system. Artificial Neural Networks (ANNs) are computational techniques which have been successfully applied in a number of different problems, including short-term electricity consumption forecasting. This paper gives an overview of the recently published research papers that deal with short-term electricity consumption forecast based on ANNs. The related papers are evaluated with respect to several aspects, such as applied ANN type, used input variables and obtained precision regarding short-term electricity consumption prediction.

Electricity Consumption ; Short-term Forecast ; Artificial Neural Networks

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Podaci o prilogu

1076-1081.

2019.

objavljeno

10.23919/MIPRO.2019.8757012

Podaci o matičnoj publikaciji

2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)

Institute of Electrical and Electronics Engineers (IEEE)

978-953-233-098-4

2623-8764

Podaci o skupu

MIPRO 2019

predavanje

20.05.2019-24.05.2019

Opatija, Hrvatska

Povezanost rada

Elektrotehnika, Računarstvo

Poveznice