Irregular distribution of wind power prediction

Bludszuweit H, Domínguez-Navarro JA, Llombart A (2008) Statistical analysis of wind power forecast error. IEEE Trans Power Syst 23(3):983–991 Hodge BM, Milligan M (2011) Wind power forecasting error distributions over multiple timescales. In: Proceedings of power and energy society general meeting, Detroit, USA, 24–29 July 2011, 8 pp Lange M (2005) On the uncertainty of wind power predictions-analysis of the forecast accuracy and statistical distribution of errors. Trans ASME N J Sol Energy Eng 127(2):177–184 Wu J, Zhang B, Li H et al (2014) Statistical distribution for wind power forecast error and its application to determine optimal size of energy storage system. Int J Electr Power Energy Syst 55:100–107 Zhang N, Kang C, Xia Q et al (2014) Modeling conditional forecast error for wind power in generation scheduling. IEEE Trans Power Syst 29(3):1316–1324 Archer CL, Simao HP, Kempton W et al (2017) The challenge of integrating offshore wind power in the US electric grid Part I: wind forecast error. Renew Energy 103:346–360 Brown BG, Katz RW, Murphy AH (1984) Time series models to simulate and forecast wind speed and wind power. J Clim Appl Meteorol 23(8):1184–1195 Tastu J, Pinson P, Kotwa E et al (2011) Spatio-temporal analysis and modeling of short-term wind power forecast errors. Wind Energy 14(1):43–60 Xie L, Gu Y, Zhu X et al (2014) Short-term spatio-temporal wind power forecast in robust look-ahead power system dispatch. IEEE Trans Smart Grid 5(1):511–520 Chang GW, Lu HJ, Wang PK et al (2017) Gaussian mixture model-based neural network for short-term wind power forecast. Int Trans Electr Energy Syst. https://doi.org/10.1002/etep.2320 Foley AM, Leahy PG, Marvuglia A et al (2012) Current methods and advances in forecasting of wind power generation. Renew Energy 37(1):1–8 Chang GW, Lu HJ, Chang YR et al (2017) An improved neural network-based approach for short-term wind speed and power forecast. Renew Energy 105:301–311 Du Y, Lu J, Li Q et al (2008) Short-term wind speed forecasting of wind farm based on least square-support vector machine. Power Syst Technol 32(15):62–66 Lei M, Shiyan L, Chuanwen J et al (2009) A review on the forecasting of wind speed and generated power. Renew Sustain Energy Rev 13(4):915–920 Dowell J, Pinson P (2016) Very-short-term probabilistic wind power forecasts by sparse vector autoregression. IEEE Trans Smart Grid 7(2):763–770 Yang X, Xiao Y, Chen S (2005) Prediction of wind speed and power generation in wind farm. Chin J Electr Eng 25(11):1–5 Fang S, Chiang HD (2016) Improving supervised wind power forecasting models using extended numerical weather variables and unlabelled data. IET Renew Power Gener 10(10):1616–1624 Yan H, Lu J, Qin Q et al (2013) A nonlinear combined model for wind power forecasting base on multi-attribute decision-making and support vector machine. Power Syst Autom 37(10):29–34 Wu W, Qiao Y, Lu Z et al (2017) Methods and prospects for probabilistic forecasting of wind power. Power Syst Autom 41(18):167–175 Liang H, Cao D, Liu B et al (2017) Modeling and error analysis of wind farm probability distribution model. J North China Electr Power Univ 44(3):8–14 Ko W, Hur D, Park JK (2015) Correction of wind power forecasting by considering wind speed forecast error. J Int Counc Electr Eng 5(1):47–50 Hannele H, Göran K (2012) Imbalance costs of wind power for a hydro power producer in Finland. Wind Eng 54(1):53–68 Miettinen JJ, Holttinen H (2017) Characteristics of day-ahead wind power forecast errors in Nordic countries and benefits of aggregation. Wind Energy 20(6):959–972 Zhang ZS, Sun YZ, Gao DW et al (2013) A versatile probability distribution model for wind power forecast errors and its application in economic dispatch. IEEE Trans Power Syst 28(3):3114–3125 Liu G, Su S (2011) Wavelet detection method for transient power quality disturbance in wind power access system. J Power Syst Autom 23(1):22–27 Chen H, Zhang Y, Min Y et al (2013) Hierarchical voltage regulation of doubly fed wind farm. Power Syst Autom 37(4):7–13 Wang Y, Xu YP, Zhang KF et al (2013) A modified statistical model for wind power forecast considering wind power output control and its applications. Appl Mech Mater Trans Tech Publ 392:636–640 Ding H, Song Y, Hu Z et al (2013) Research on the probability of the-day-before wind power forecasting error based on the power characteristics of wind farm. Chin J Electr Eng 33(34):136–144 Bofinger S, Luig A, Beyer HG (2002) Qualification of wind power forecasts. In: Proceedings of global windpower conference and exhibition, Paris, France, April 2002, 5 pp Hu W, Min Y, Zhou Y et al (2017) Wind power forecasting errors modelling approach considering temporal and spatial dependence. J Mod Power Syst Clean Energy 5(3):489–498 Xu M, Lu Z, Qiao Y et al (2017) Modelling of wind power forecasting errors based on kernel recursive least-squares method. J Mod Power Syst Clean Energy 5(5):735–745 Yang M, Lin Y, Zhu S et al (2015) Multi-dimensional scenario forecast for generation of multiple wind farms. J Mod Power Syst Clean Energy 3(3):361–370 Lu L, Ji T, Li M et al (2018) Short-term local prediction of wind speed and wind power based on singular spectrum analysis and locality-sensitive hashing. J Mod Power Syst Clean Energy 6(2):317–329 Cui M, Ke D, Gan D et al (2015) Statistical scenarios forecasting method for wind power ramp events using modified neural networks. J Mod Power Syst Clean Energy 3(3):371–380