Electricity Consumption Forecasting in Turkey

Loading...
Publication Logo

Date

2022

Authors

Bugsem Acar
Selin Yigit
Berkay Tuzuner
Burcu Ozgirgin
Ipek Ekiz
Melisa Ozbiltekin-Pala
Esra Ekinci

Journal Title

Journal ISSN

Volume Title

Publisher

SPRINGER-VERLAG SINGAPORE PTE LTD

Open Access Color

Green Open Access

No

OpenAIRE Downloads

OpenAIRE Views

Publicly Funded

No
Impulse
Average
Influence
Average
Popularity
Average

Research Projects

Journal Issue

Abstract

Electrical energy is a type of energy that needs to be transmitted quickly and with high quality. With the development of industry and technology the need for electrical energy is increasing every day. Accurate forecasting of electricity consumption is crucial since electricity cannot be stored. In this study electricity consumption in Turkey has been forecasted for long run using Grey Model and short run using the seasonal ARIMA model. Short term production is important to produce the right amount at the right time to meet exact demand. Also in the short-term seasonal fluctuations in electricity will guide the companies in planning production and capacity. Long-term forecasting will indicate the investment requirement in facilities.

Description

Keywords

Electricity consumption, Forecasting, Seasonal ARIMA, Grey model, GREY PREDICTION, SEASONAL ARIMA, DEMAND, Electricity Consumption, Seasonal ARIMA, Grey Model, Forecasting

Fields of Science

Citation

WoS Q

Scopus Q

OpenCitations Logo
OpenCitations Citation Count
N/A

Source

21st International Symposium on Production Research (ISPR) - Digitizing Production System

Volume

Issue

Start Page

702

End Page

714
PlumX Metrics
Citations

Scopus : 0

Captures

Mendeley Readers : 2

Google Scholar Logo
Google Scholar™
OpenAlex Logo
OpenAlex FWCI
0.0

Sustainable Development Goals