Very Short Term Load Forecasting for Macau Power System

  • Chong Yin Fok
  • Mang I Vai
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7389)


This paper presents the implementation of very short time load forecasting (VSLF) for Macau power system with the forecasting period ranging from several minutes to 8 hours. The methodology adopted is the hybrid model with ANN-based and similar days methods included weather information variables, which are seldom considered as input variables of VSLF in other literatures. It is shown that weather information is one of influence factors of the VSLF for a small city like Macau and the MAPE of VSLF for 15-minutes to 3-hours ahead load is 0.96% and 0.85% for Jan 2011 and Jul 2011 respectively. In this work, the author also utilizes the result of VSLF to adjust a day ahead short term load forecasting (STLF) result, by this approach, it is demonstrated that MAPE of STLF can be reduced by 20% for the data of Jul 2011.


very short term load forecasting hybrid model 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Chong Yin Fok
    • 1
  • Mang I Vai
    • 1
  1. 1.Department of Electrical and Computer EngineeringUniversity of MacauMacauChina

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