Journal of Applied Sciences

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Gray SelfMemory Prediction of Inflow to Hydropower Station Reservoir

LI Li;SHEN Bing;LI Rong feng;ZHAO Chang sen   

  1. 1. Institute of Water Resources and Hydro electric Engineering, Xi’an University of Technology, Xi’an 710048, China; 2. Shanxi Water Resources Bureau, Taiyuan 030002, China; 3. Shanxi Institute of Water Resources and Hydropower Research, Taiyuan 030002, China;4. Institute of Geography and Resource, Chinese Academy Science, Beijing 100101, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-03-20 Published:2007-03-20

Abstract: Combining the theory of gray system with self memory principle, a new model for predicting time series of reservoir inflow is proposed. The model has been used to predict the annual and flood period inflow to reservoir of Caohe Hydropower Station on the Jin River. The case study indicates that the model can deal with non stationary time series and provide the inflow trend and extreme values with improved accuracy.

Key words: inflow, self memory, gray model, prediction