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
  • [1] Forecasting short-term electricity demand of Turkey by artificial neural networks
    Comert, Mustafa
    Yildiz, Ali
    2018 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND DATA PROCESSING (IDAP), 2018,
  • [2] Artificial neural networks applied to long-term electricity demand forecasting
    Al Mamun, M
    Nagasaka, K
    HIS'04: Fourth International Conference on Hybrid Intelligent Systems, Proceedings, 2005, : 204 - 209
  • [3] Long Term Annual Electricity Demand Forecasting in Sri Lanka by Artificial Neural Networks
    Hapuarachchi, D. C.
    Hemapala, K. T. M. U.
    Jayasekara, A. G. B. P.
    2018 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2018,
  • [4] Moroccan Long Term Electricity Demand Forecasting Using Wavelet Neural Networks
    Citroen, Noreddine
    Ouassaid, Mohammed
    Maaroufi, Mohamed
    PROCEEDINGS OF 2015 3RD IEEE INTERNATIONAL RENEWABLE AND SUSTAINABLE ENERGY CONFERENCE (IRSEC'15), 2015, : 598 - 604
  • [5] Cloud-based Long Term Electricity Demand Forecasting using Artificial Neuro-Fuzzy and Neural Networks
    Altinoz, O. Tolga
    Mengusoglu, Erhan
    2015 9TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONICS ENGINEERING (ELECO), 2015, : 977 - 981
  • [6] Long-term electricity demand forecasting for malaysia using artificial neural networks in the presence of input and model uncertainties
    Tai V.C.
    Tan Y.C.
    Rahman N.F.A.
    Che H.X.
    Chia C.M.
    Saw L.H.
    Ali M.F.
    Energy Engineering: Journal of the Association of Energy Engineering, 2021, 118 (03): : 715 - 725
  • [7] Artificial neural networks as applied to long-term demand forecasting
    Al-Saba, T
    El-Amin, I
    ARTIFICIAL INTELLIGENCE IN ENGINEERING, 1999, 13 (02): : 189 - 197
  • [8] Electricity demand forecasting using neural networks
    Panesar, SS
    Wang, W
    INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING, 2003, 2690 : 826 - 834
  • [9] Improving efficiency of artificial neural networks in electricity demand forecasting
    Lu, XB
    Sugianto, LF
    IPEC 2003: Proceedings of the 6th International Power Engineering Conference, Vols 1 and 2, 2003, : 936 - 941
  • [10] Demand Forecasting for Domestic Air Transportation in Turkey using Artificial Neural Networks
    Koc, Ismail
    Arslan, Emel
    2018 6TH INTERNATIONAL CONFERENCE ON CONTROL ENGINEERING & INFORMATION TECHNOLOGY (CEIT), 2018,
12345