Long Term Electricity Demand Forecasting in Turkey Using Artificial Neural Networks

被引：39
|
作者：
Cunkas, M. [1 ]
Altun, A. A. [1 ]
机构：
[1] Selcuk Univ, Dept Elect & Comp Educ, Konya, Turkey
来源：
ENERGY SOURCES PART B-ECONOMICS PLANNING AND POLICY | 2010年 / 5卷 / 03期
关键词：
artificial neural networks; economic factors; load forecasting; Turkey; ENERGY DEMAND;
D O I：
10.1080/15567240802533542
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
This article presents an approach for Turkey's long-term electricity demand forecasting. Two Artificial Neural Network structures, three-layered back-propagation and a recurrent neural network are designed and tested for this purpose. Predictions are done for the years 2008 to 2014. Since long-term forecasting is mainly influenced by economic factors, this study focuses on economic data. The proposed approach produces lower percent errors, especially in the recurrent neural network. The forecast results by artificial neural networks are also compared with official forecasts.
引用
收藏
页码：279 / 289
页数：11
相关论文
共 50 条
  • [11] FORECASTING THE NET ENERGY DEMAND OF TURKEY BY ARTIFICIAL NEURAL NETWORKS
    Es, Huseyin Avni
    Kalender, F. Yesim
    Hamzacebi, Coskun
    JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, 2014, 29 (03): : 495 - 504
  • [12] Forecasting hourly electricity demand of Uruguay for the next day using artificial neural networks
    Porteiro, Rodrigo
    Nesmachnow, Sergio
    2020 IEEE PES TRANSMISSION & DISTRIBUTION CONFERENCE AND EXHIBITION - LATIN AMERICA (T&D LA), 2020,
  • [13] Forecasting Electricity Demand in Households using MOGA-designed Artificial Neural Networks
    Bot, K.
    Ruano, A.
    Ruano, M. G.
    IFAC PAPERSONLINE, 2020, 53 (02): : 8225 - 8230
  • [14] Electricity price short-term forecasting using artificial neural networks
    Szkuta, BR
    Sanabria, LA
    Dillon, TS
    IEEE TRANSACTIONS ON POWER SYSTEMS, 1999, 14 (03) : 851 - 857
  • [15] Electricity price short-term forecasting using artificial neural networks
    Applied Computing Research Institute, La Trobe University, Melbourne, Vic., Australia
    IEEE Trans Power Syst, 3 (851-857):
  • [16] Forecasting of Turkey's monthly electricity demand by seasonal artificial neural network
    Hamzacebi, Coskun
    Avni, Huseyin Es
    Cakmak, Recep
    NEURAL COMPUTING & APPLICATIONS, 2019, 31 (07): : 2217 - 2231
  • [17] Forecasting of Turkey’s monthly electricity demand by seasonal artificial neural network
    Coşkun Hamzaçebi
    Hüseyin Avni Es
    Recep Çakmak
    Neural Computing and Applications, 2019, 31 : 2217 - 2231
  • [18] Electricity price forecasting using artificial neural networks
    Singhal, Deepak
    Swarup, K. S.
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2011, 33 (03) : 550 - 555
  • [19] Electricity Prices Forecasting using Artificial Neural Networks
    Alanis, Alma Y.
    IEEE LATIN AMERICA TRANSACTIONS, 2018, 16 (01) : 105 - 111
  • [20] Electricity price forecasting using artificial neural networks
    Villada, Fernando
    Cadavid, Diego Raul
    Molina, Juan David
    REVISTA FACULTAD DE INGENIERIA-UNIVERSIDAD DE ANTIOQUIA, 2008, (44): : 111 - 118
12345