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has been cited by the following article:

• TITLE: Forecast of Power Generation for Grid-Connected Photo-voltaic System Based on Grey Theory and Verification Model

  AUTHORS: Ying-zi Li, Jin-cang Niu, Li Li

  KEYWORDS: Forecast of Power Generation; Grid-connected Photovoltaic System; Data Discretization; Greedy Algorithm; Continuous Attributes; Rough Sets

  JOURNAL NAME: Energy and Power Engineering, Vol.5 No.4B, October 15, 2013

  ABSTRACT: Being photovoltaic power generation affected by radiation strength, wind speed, clouds cover and environment temperature, the generating in each moment is fluctuating. The operational characteristics of grid-connected PV systems are coincided with gray theory application conditions. A gray theory model has been applied in short-term forecast of grid-connected photovoltaic system. The verification model of the probability of small error will help to check the accuracy of the gray forecast results. The calculated result shows that the model accuracy has been greatly enhanced.