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
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