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


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)
Opatija, Croatia: IEEE, 2019. str. 1076-1081 doi:10.23919/MIPRO.2019.8757012 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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

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

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) / - : IEEE, 2019, 1076-1081

ISBN
978-953-233-098-4

Skup
42nd international convention on information and communication technology, electronics and microelectronics

Mjesto i datum
Opatija, Croatia, 20-24.05.2019

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Electricity Consumption ; Short-term Forecast ; Artificial Neural Networks

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek

Profili:

Avatar Url Ratko Grbić (autor)

Avatar Url Emmanuel Karlo Nyarko (autor)

Citiraj ovu publikaciju

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)
Opatija, Croatia: IEEE, 2019. str. 1076-1081 doi:10.23919/MIPRO.2019.8757012 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Barić, I., Grbić, R. & Nyarko, E. (2019) Short-Term Forecasting of Electricity Consumption Using Artificial Neural Networks - an Overview. U: 2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) doi:10.23919/MIPRO.2019.8757012.
@article{article, year = {2019}, pages = {1076-1081}, DOI = {10.23919/MIPRO.2019.8757012}, keywords = {Electricity Consumption, Short-term Forecast, Artificial Neural Networks}, doi = {10.23919/MIPRO.2019.8757012}, isbn = {978-953-233-098-4}, title = {Short-Term Forecasting of Electricity Consumption Using Artificial Neural Networks - an Overview}, keyword = {Electricity Consumption, Short-term Forecast, Artificial Neural Networks}, publisher = {IEEE}, publisherplace = {Opatija, Croatia} }
@article{article, year = {2019}, pages = {1076-1081}, DOI = {10.23919/MIPRO.2019.8757012}, keywords = {Electricity Consumption, Short-term Forecast, Artificial Neural Networks}, doi = {10.23919/MIPRO.2019.8757012}, isbn = {978-953-233-098-4}, title = {Short-Term Forecasting of Electricity Consumption Using Artificial Neural Networks - an Overview}, keyword = {Electricity Consumption, Short-term Forecast, Artificial Neural Networks}, publisher = {IEEE}, publisherplace = {Opatija, Croatia} }

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