Applied short-term forecasting for the Slovenian natural gas market

被引:0
|
作者
Potocnik, Primoz [1 ]
Govekar, Edvard [1 ]
机构
[1] Univ Ljubljana, Fac Mech Engn, Ljubljana, Slovenia
关键词
Demand forecasting; Natural gas; Stepwise regression; NEURAL-NETWORKS; CONSUMPTION; MODEL; DEMAND; PREDICTION; COMBINATION; TURKEY;
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
Results of applied short-term forecasting for the Slovenian natural gas market are presented. A case study for one of the major Slovenian natural gas distribution companies is considered, with forecasting results in hourly resolution in the forecasting horizon from 1 to 48 hours. The development of a forecasting strategy is presented, which includes daily data acquisition from various sources, development of customized forecasting models, and deployment of a forecasting solution. The forecasting models are based on stepwise regression method in order to design model structures with reliable and robust operation. Forecasting results of several years of online forecasting operation are presented. Obtained accuracy of forecasting results is considered as very successful and beneficially contributes to the managing policy of the distribution company.
引用
收藏
页数:5
相关论文
共 50 条
  • [31] Ensembling methods for countrywide short-term forecasting of gas demand
    Marziali, Andrea
    Fabbiani, Emanuele
    De Nicolao, Giuseppe
    INTERNATIONAL JOURNAL OF OIL GAS AND COAL TECHNOLOGY, 2021, 26 (02) : 184 - 201
  • [32] A hybrid ensemble model applied to the short-term load forecasting problem
    Salgado, R. M.
    Pereira, J. J. F.
    Ohishi, T.
    Ballini, R.
    Lima, C. A. M.
    Von Zuben, F. J.
    2006 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORK PROCEEDINGS, VOLS 1-10, 2006, : 2627 - +
  • [33] Sequential minimal optimization algorithm applied in short-term load forecasting
    Zhou, Qian
    Zhai, Yong-Jie
    Han, Pu
    PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2007, : 2479 - 2483
  • [34] SHORT-TERM FORECASTING OF GAS SENDOUT - A BAYESIAN-APPROACH
    TAYLOR, R
    JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 1986, 37 (12) : 1148 - 1148
  • [35] An Aggregate Model Applied To the Short-Term Bus Load Forecasting Problem
    Salgado, Ricardo Menezes
    Ballini, Rosangela
    Ohishi, Takaaki
    2009 IEEE/PES POWER SYSTEMS CONFERENCE AND EXPOSITION, VOLS 1-3, 2009, : 432 - +
  • [36] Short-Term Hybrid Probabilistic Forecasting Model for Electricity Market Prices
    Campos, Vasco
    Osorio, Gerardo
    Shafie-khah, Miadreza
    Lotfi, Mohamed
    Catalao, Joao P. S.
    2018 TWENTIETH INTERNATIONAL MIDDLE EAST POWER SYSTEMS CONFERENCE (MEPCON), 2018, : 962 - 967
  • [37] Time Series Analysis for Short-Term Forest Sector Market Forecasting
    Tzanova, Polia
    AUSTRIAN JOURNAL OF FOREST SCIENCE, 2017, 134 : 205 - 229
  • [38] Modelling Possibility of Short-Term Forecasting of Market Parameters for Portfolio Selection
    Dokuchaev, Nikolai
    ANNALS OF ECONOMICS AND FINANCE, 2015, 16 (01): : 143 - 161
  • [39] Short-term Electricity Price Forecasting in the Power Market Based on HHT
    Liao, Xiaohui
    Zhou, Bing
    Yang, Dongqiang
    2015 4TH INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENTAL PROTECTION (ICEEP 2015), 2015, : 505 - 509
  • [40] An Analysis of Short-Term Price Forecasting of Power Market By Using ANN
    Sahay, Kishan Bhushan
    Tripathi, M. M.
    2014 6TH IEEE POWER INDIA INTERNATIONAL CONFERENCE (PIICON), 2014,