Why Us? >>

  • - Open Access
  • - Peer-reviewed
  • - Rapid publication
  • - Lifetime hosting
  • - Free indexing service
  • - Free promotion service
  • - More citations
  • - Search engine friendly

Free SCIRP Newsletters>>

Add your e-mail address to receive free newsletters from SCIRP.


Contact Us >>

WhatsApp  +86 18163351462(WhatsApp)
Paper Publishing WeChat
Book Publishing WeChat
(or Email:book@scirp.org)

Article citations


S. Fan, L. Chen and W. J. Lee, “Short-Term Load Forecasting Using Comprehensive Combination Based on Multi-Meteorological Information,” IEEE Industrial and Commercial Power Systems Technical Conference, Vol. 9, No. 2, 1994, pp. 1-7.

has been cited by the following article:

  • TITLE: A Hybrid Short Term Load Forecasting Model of an Indian Grid

    AUTHORS: R. Behera, B. P. Panigrahi, B. B. Pati

    KEYWORDS: Short Term Load Forecasting, Parameter Estimation, Trending Technique, Co-Relation

    JOURNAL NAME: Energy and Power Engineering, Vol.3 No.2, May 18, 2011

    ABSTRACT: This paper describes an application of combined model of extrapolation and correlation techniques for short term load forecasting of an Indian substation. Here effort has been given to improvise the accuracy of elec-trical load forecasting considering the factors, past data of the load, respective weather condition and finan-cial growth of the people. These factors are derived by curve fitting technique. Then simulation has been conducted using MATLAB tools. Here it has been suggested that consideration of 20 years data for a devel-oping country should be ignored as the development of a country is highly unpredictable. However, the im-portance of the past data should not be ignored. Here, just previous five years data are used to determine the above factors.