Paper Title:
Based on Time Series Prediction of Photovoltaic Power Plant Output
  Abstract

With the PV power system capacity continues to expand, PV power generation forecasting techniques can reduce the PV system output power of randomness, it has great impact on power systems. This paper presents a method based on ARMA time series power prediction model. With historical electricity data and meteorological factors, the model gets test and evaluation by Eviews software. Results indicated that the prediction model has high accuracy, it can solve the shortcomings of PV randomness and also can improve the ability of the stable operation of the system.

  Info
Periodical
Advanced Materials Research (Volumes 383-390)
Chapter
Chapter 20: Metrology and Measurement
Edited by
Wu Fan
Pages
5142-5147
DOI
10.4028/www.scientific.net/AMR.383-390.5142
Citation
W. G. Li, Z. M. Liao, X. L. Sun, "Based on Time Series Prediction of Photovoltaic Power Plant Output", Advanced Materials Research, Vols. 383-390, pp. 5142-5147, 2012
Online since
November 2011
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Price
$32.00
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