Li Z Y,Zhou Y L,Cheng C,et al．Short term photovoltaic power generation forecasting using RBF neural network[C]//26th Chinese Control and Decision Conference．Changsha,China：IEEE Control Systems Society,2014：2758-2763．
[2]
张艳霞,赵杰．基于反馈型神经网络的光伏系统发电功率预测[J]．电力系统保护与控制,2011,39(15)：96-109．Zhang Yanxia,Zhao Jie．Application of recurrent neural networks to generated power forecasting for photovoltaic system[J]．Power System Protection and Control,2011,39(15)：96-109(in Chinese)．
[3]
李鹏梅,臧传治,王侃侃．基于相似日和神经网络的光伏发电预测[J]．可再生能源,2013,31(10)：1-9．Li Pengmei,Zang Chuanzhi,Wang Kankan．Photovoltaic generation prediction based on similar days and neural network[J]．Renewable Energy Resources,2013,31(10)：1-9(in Chinese)．
[4]
丁明,徐宁舟．基于马尔可夫链的光伏发电系统输出功率短期预测方法[J]．电网技术,2011,35(1)：152-157．Ding Ming,Xu Ningzhou．A method to forecast short-term output power of photovoltaic generation system based on Markov Chain[J]．Power System Technology,2011,35(1)：152-157(in Chinese)．
[5]
Kaplanis S,Kaplani E．A model to predict expected mean and stochastic hourly global solar radiation I(h; n(j)) values[J]．Renewable Energy,2007,32(8)：1414-1425．
[6]
Lorenz E,Hurka J,Heinemann D,et al．Irradiance forecasting for the power prediction of grid-connected photovoltaic systems[J]．IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2009,2(1)：2-10．
[7]
Li Y T,Su Y,Shu L J．An ARMAX model for forecasting the power output of a grid connected photovoltaic system[J]．Renewable Energy,2014(66)：78-89．
[8]
Yazdanbaksh O,Krahn A,Dick S．Predicting solar power output using complex fuzzy logic[C]//Joint IFSA World Congress and NAFIPS Annual Meeting．Edmonton：IFSA World Congress and NAFIPS Annual Meeting,2013：1243-1248．
丁明,王磊,毕锐．基于改进BP神经网络的光伏发电系统输出功率短期预测模型[J]．电力系统保护与控制,2012,40(11)：93-99．Ding Ming,Wang Lei,Bi Rui．A short-term prediction model to forecast output power of photovoltaic system based on improved BP neural network[J]．Power System Protection and Control,2012,40(11)：93-99(in Chinese)．
[14]
刘思峰．灰色系统理论及其应用[M]．北京：科学出版社,2014：140-168．
[15]
李玻,方玲．函数变换提高灰色预测模型精度的条件[J]．后勤工程学院学报,2009,25(4)：86-90．Li Bo,Fang Ling．Conditions of function transformation improve the accuracy of grey prediction model[J]．Journal of Logistical Engineering University,2009,25(4)：86-90(in Chinese)．
[16]
王贺,胡志坚,张翌晖,等．基于聚类经验模态分解和最小二乘支持向量机的短期风速预测[J]．电工技术学报,2014,29(4)：237-245．Wang He,Hu Zhijian,Zhang Yihui,et al．A hybrid model for short-term wind speed forecasting based on ensemble empirical mode decomposition and least squares support vector machines[J]．Transactions of China Electrotechnical Society,2014,29(4)：237-245(in Chinese)．
