APPLICATION OF ARTIFICIAL NEURAL NETWORKS IN FORECASTNG ON ENERGY MARKET

被引:0
|
作者
Halicka, Katarzyna [1 ]
机构
[1] Bialystok Tech Univ, Wydziale Zarzadzania, PL-15351 Bialystok, Poland
来源
RYNEK ENERGII | 2010年 / 01期
关键词
energy market; electric energy prices forecasting; electric energy demand forecasting; artificial neural networks;
D O I
暂无
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
The aim of the paper is to present application of artificial neural networks in electric energy prices forecasting on energy market. As an input of the constructed predicator past energy prices and turnover volume, variables describing weather that is temperature, cloudiness, speed of wind and variables describing time and date of transaction were introduced. All the variables were measured for each hour of the trade twenty- four hours. In the next step of study adjustment of the model to the real data was assessed.
引用
收藏
页码:20 / 23
页数:4
相关论文
共 50 条
  • [1] Application of Artificial Neural Networks for Virtual Energy Assessment
    Mortazavigazar, Amir
    Wahba, Nourehan
    Newsham, Paul
    Triharta, Maharti
    Zheng, Pufan
    Chen, Tracy
    Rismanchi, Behzad
    [J]. ENERGIES, 2021, 14 (24)
  • [2] Assessment of the Real Estate Market Value in the European Market by Artificial Neural Networks Application
    Cetkovic, Jasmina
    Lakic, Slobodan
    Lazarevska, Marijana
    Zarkovic, Milos
    Vujosevic, Sasa
    Cvijovic, Jelena
    Gogic, Mladen
    [J]. COMPLEXITY, 2018,
  • [3] ARTIFICIAL NEURAL NETWORKS AND MARKET SEGMENTATION INFORMATION SYSTEM ( AN APPLICATION TO A TEA DRINK MARKET)
    Hung, Chien Wen
    [J]. 4TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER THEORY AND ENGINEERING ( ICACTE 2011), 2011, : 421 - 426
  • [4] Gas turbine control on energy market using artificial neural networks
    Lichota, Janusz
    [J]. RYNEK ENERGII, 2008, (02): : 39 - 45
  • [5] Exploiting Artificial Neural Networks for the Prediction of Ancillary Energy Market Prices
    Giovanelli, Christian
    Sierla, Seppo
    Ichise, Ryutaro
    Vyatkin, Valeriy
    [J]. ENERGIES, 2018, 11 (07)
  • [6] A Novel Application to Increase Energy Efficiency Using Artificial Neural Networks
    Buyuk, Oguzhan Oktay
    Bilgin, Sevgi Nur
    [J]. 2016 4TH INTERNATIONAL ISTANBUL SMART GRID CONGRESS AND FAIR (ICSG), 2016, : 126 - 130
  • [7] APPLICATION OF ARTIFICIAL NEURAL NETWORKS IN PARAMETRICAL INVESTIGATIONS OF THE ENERGY FLOW AND SYNCHRONIZATION
    Dabrowski, Artur
    Jach, Anna
    Kapitaniak, T
    [J]. JOURNAL OF THEORETICAL AND APPLIED MECHANICS, 2010, 48 (04) : 871 - 896
  • [8] A comprehensive review on the application of artificial neural networks in building energy analysis
    Mohandes, Saeed Reza
    Zhang, Xueqing
    Mahdiyar, Amir
    [J]. NEUROCOMPUTING, 2019, 340 : 55 - 75
  • [9] ARE ARTIFICIAL NEURAL NETWORKS FINALLY READY FOR MARKET
    MANUEL, T
    [J]. ELECTRONICS, 1988, 61 (14): : 85 - 88
  • [10] Market research applications of artificial neural networks
    Azcarraga, Amulfo P.
    Hsieh, Ming-Huei
    Setiono, Rudy
    [J]. 2008 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-8, 2008, : 357 - +