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Short Term Load Forecasting Using Subset Threshold Auto Regressive Model
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作者 孙海健 《Journal of Southeast University(English Edition)》 EI CAS 1999年第2期78-83,共6页
The subset threshold auto regressive (SSTAR) model, which is capable of reproducing the limit cycle behavior of nonlinear time series, is introduced. The algorithm for fitting the sampled data with SSTAR model is pr... The subset threshold auto regressive (SSTAR) model, which is capable of reproducing the limit cycle behavior of nonlinear time series, is introduced. The algorithm for fitting the sampled data with SSTAR model is proposed and applied to model and forecast power load. Numerical example verifies that desirable accuracy of short term load forecasting can be achieved by using the SSTAR model. 展开更多
关键词 power load forecasting subset threshold auto regressive model
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