TY - GEN
T1 - Forecasting electricity generation and shares by energy resources by time series analysis
T2 - International Symposium for Production Research, ISPR 2020
AU - Konyalıoğlu, Aziz Kemal
AU - Çelik, Nuri
PY - 2020/10/26
Y1 - 2020/10/26
N2 - Electricity generation has always been a debatable topic to investigate since industrialization grows up day by day. The accurate planning and directing of the system of supplying electricity depends on reliable modelling and forecasting. Better forecasting and modelling provide more efficient planning, more suitable investments of time, cost and performance and more satisfied customers and citizens. A suitable forecast model for electricity generation is a difficult process to perform, since it involves many parameters such as climate conditions, population, industrial tendency and habitualness of each country or region. In this paper, we tried to forecast electricity generation and shares by energy resources in Turkey by using Time Series Analysis in R software. The study provides not only an effective forecasting for electricity consumption in order to meet the demand in Turkey, but also an efficient segmentation according to the shares by energy resources since the usage of electricity differs from resources. The data, which correspond to the period 1970–2018, are used to forecast the electricity generation in Turkey.
AB - Electricity generation has always been a debatable topic to investigate since industrialization grows up day by day. The accurate planning and directing of the system of supplying electricity depends on reliable modelling and forecasting. Better forecasting and modelling provide more efficient planning, more suitable investments of time, cost and performance and more satisfied customers and citizens. A suitable forecast model for electricity generation is a difficult process to perform, since it involves many parameters such as climate conditions, population, industrial tendency and habitualness of each country or region. In this paper, we tried to forecast electricity generation and shares by energy resources in Turkey by using Time Series Analysis in R software. The study provides not only an effective forecasting for electricity consumption in order to meet the demand in Turkey, but also an efficient segmentation according to the shares by energy resources since the usage of electricity differs from resources. The data, which correspond to the period 1970–2018, are used to forecast the electricity generation in Turkey.
KW - Box-Jenkins models
KW - electricity forecasting
KW - electricity generation
KW - time series analysis
U2 - 10.1007/978-3-030-62784-3_10
DO - 10.1007/978-3-030-62784-3_10
M3 - Conference contribution book
AN - SCOPUS:85096495613
SN - 9783030627836
SN - 9783030627867
T3 - Lecture Notes in Mechanical Engineering
SP - 115
EP - 120
BT - Digital Conversion on the Way to Industry 4.0
A2 - Durakbasa, Numan M.
A2 - Gençyılmaz, M. Güneş
PB - Springer
CY - Cham, Switzerland
Y2 - 24 September 2020 through 26 September 2020
ER -
