• DocumentCode
    3597452
  • Title

    Prediction of Energy Production and Energy Consumption based on BP Neural Networks

  • Author

    Wei, Li ; Yumin, Shang

  • Author_Institution
    Dept. of Econ. & Manage., North China Electr. Power Univ., Baoding
  • fYear
    2008
  • Firstpage
    176
  • Lastpage
    179
  • Abstract
    Nowadays, China has become a major energy consumer, and more importantly, however, China is also a major energy producer. With the development of economy, energy production and energy consumption has increased progressively year by year. In the context of the global energy supply pressure of the growing tension, energy and environmental situation is not optimistic, this paper starting from the unification of energy production and energy consumption constructed a new prediction method of BP neural networks, through making use of the energy industry statistical data, apply the BP neural networks to the prediction system, accurately predict the development and changing of energy production and energy consumption. Numerical results demonstrate the validity of the prediction method of BP neural networks.
  • Keywords
    backpropagation; electric power generation; neural nets; power consumption; power engineering computing; BP neural networks; China; energy consumer; energy consumption; energy industry; energy production prediction; global energy supply pressure; Artificial neural networks; Economic forecasting; Energy conservation; Energy consumption; Energy management; Environmental economics; Neural networks; Power generation economics; Prediction methods; Production systems; BP neural networks; energy consumption; energy production; error; prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling Workshop, 2008. KAM Workshop 2008. IEEE International Symposium on
  • Print_ISBN
    978-1-4244-3530-2
  • Electronic_ISBN
    978-1-4244-3531-9
  • Type

    conf

  • DOI
    10.1109/KAMW.2008.4810454
  • Filename
    4810454