Power Signal Forecasting by Neural Model with Different Layer Structures

In this paper, the non-stationary power load forecasting by using neural model with different layer structures is presented. In the neural forecasting model we developed, the neuron types used in different layers are different. Each layer is composed of the same kind of neurons. A reliable and accur...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Rey-Chue Hwang, Yu-Ju Chen, Shang-Jen Chuang, Huang-Chu Huang, Chuo-Yean Chang
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Companies Demand forecasting Energy management Feedforward systems forecasting Load forecasting neural model Neural networks neuron type Neurons non-stationary power load Predictive models Signal processing Transfer functions
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