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2015 | OriginalPaper | Buchkapitel

39. Saturated Load Forecasting Based on Nonlinear System Dynamics

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Abstract

Saturated load of a power system is the key index for the local grid planning, which identifies the final scale of a power system. Due to the long time span and sensitivity to economic factors, the precision and reliability of the direct saturated load forecasting (SLF) are not satisfied. Therefore, this chapter mainly proposes a novel SLF model derived from the saturated economy forecasting (SEF), based on nonlinear system dynamics. A practical case was investigated according to the real economic and load data of Fujian province, China. The method proposed was proved reliable, with a consistent result but more flexibility and extension to the per capita electricity consumption (PCEC) method.

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Metadaten
Titel
Saturated Load Forecasting Based on Nonlinear System Dynamics
verfasst von
Haihong Bian
Xindi Wang
Copyright-Jahr
2015
DOI
https://doi.org/10.1007/978-3-319-13707-0_39

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