Design of Photovoltaic Power Generation Forecasting Model Based on Multivariable Grey Theory

Abstract:

This paper makes a prediction about the daily power generation of the photovoltaic power station in Wuhan International Exhibition Center by the application of multivariable grey theory model and compares the forecasted results with the real results. This research proves that the application of the theory of multivariable grey model on short-term prediction of photovoltaic power generation can achieve a good prediction effect, which also has certain engineering application value.

• Periodical: Advanced Materials Research (Volumes 953-954)
• Pages: 3-7
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.953-954.3
• Online since: June 2014
• Authors: Zhi Feng Zhong, Chen Yang Yan, Tian Jin Zhang, Mao Tian
• Keywords: Multivariable Grey Model, Photovoltaic (PV) System, Power Generation Forecast

References

[1] Yun Lu: Research on Key Problem and Method of Short-Term Load Forecasting . (Ph.D., Shenyang University of Technology, China 2007), pp.4-12.

[2] Zhihua Zhou , Cungen Cao: Neural Network and its Application (Qinghua University Press, China 2004).

[3] Yimin Zhang , Ming Liang: Journal of MaoMing College, Vol. 16 (2006) No. 63, pp.39-42. (In Chinese).

[4] Ingrid Daubechies, Jianping Li , Wannian Yang: Ten Lectures on wavelets (National defence industry press, China 2004).

[5] Cheng Zhong: China Science and Technology Information, (2008) No. 2, pp.70-71. (In Chinese).