基于用户报价信息划分的可控负荷菜单定价模型
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,M;mzӮ tH8b0:vY۲zȠ)wدy&bnW{kil~}+u隝ٚ&v줁:ڞ'>,M4מ5۞uۭ? Ò q'nB) ") Z2gʇȝ+bvt7jwQzhLjǧ+)ĝƫlӅt'jبBwޭzĭ!Y^m5xT䀝)(nO)47jwkzhǢ^jTZ܊xj)^jhbtr)&v줁:ڞ'Jfjwm5ߎ5YFev줵v 'wدyyޙE){N&t&y+nw"gnHAs^ʹ}]]iky"http://www.yuhuipay.com/a/pingjia/" target="_blank" class="keylink">评价中的应用[J].经济数学,2014,31(01):94-98.
[7]BARALIS E, CAGLIERO L, GARZA P. Enbay: A Novel Pattern-Based Bayesian Classifier[J]. IEEE Trans. on Knowledge and Data Engineering, 2013,25(12): 2780-2795.
[8]魏红燕,魏含玉.可控负荷菜单定价方法研究[J].经济数学,2017,34(2):47-52.
[9]SPENCE M. Job market signaling[J]. Quarterrly Journal of Economics, 1973,87(3): 355-374.
[10]MIRRLEES J. An exploration in the theory of optimum income taxation[J]. Review of Economic Studies, 1971,38(2): 175-208.
[11]USA. Monthly Demand Response Bids [EB/OL]. 2014. /markets-and-operations/energy/real-time/historical-bid-data/dr-bid.aspx.
[12]XIE L, ZHENG H. Demand elasticity analysis by least squares support vector machine[C]//The 6th International Congress on Image and Signal Processing(CISP),Hangzhou, 2013.
[13]JENS N S. Wind Energy Systems: Optimising Design and Construction for Safe and Reliable Operation[J]. Woodhead: Publishing, 2001,35(4):144-156.
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