刘严,谭忠富,乞建勋.峰谷分时电价设计的优化模型[J].中国管理科学,2005,13(5):87-92.Liu Yan,Tan Zhongfu,Qi Jianxun.Research on TOU rate design optimization model[J].Chinese Journal of Management Science,2005,13(5):87-92(in Chinese).
[2]
阮文骏,王蓓蓓,李扬,等.峰谷分时电价下的用户响应行为研究[J].电网技术,2012,36(7):86-93.Luan Wenjun,Wang Beibei,Li Yang,et al.Customer response behavior in time-of-use price[J].Power System Technology,2012,36(7):86-93(in Chinese).
[3]
袁家海,李蒙,胡兆光.基于多智能体模拟方法的大用户峰谷电价响应研究[J].电网技术,2005,29(23):44-49.Yuan Jiahai,Li Meng,Hu Zhaoguang.Research on large customer response under time-of-use electricity pricing policy based on multi-agent system simulation[J].Power System Technology,2005,29(23):44-49(in Chinese).
[4]
谈金晶,王蓓蓓,李扬.基于多智能体的用户分时电价响应模型[J].电网技术,2012,36(2):257-263.Tan Jinjing,Wang Beibei,Li Yang.Modeling of user response to time-of-use price based on multi-agent technology[J].Power System Technology,2012,36(2):257-263(in Chinese).
[5]
Celebie E,Fuller J D.A model for efficient consumer pricing schemes in electricity markets[J].IEEE Trans on Power Systems,2007,22 (1):60-67.
[6]
姚珺玉,刘俊勇,刘友波,等.计及时滞指标灵敏度的用户电价响应模式划分方法[J].电网技术,2010,34(4):30-36.Yao Junyu,Liu Junyong,Liu Youbo,et al.An approach to divide customer price response modes taking comprehensive sensitivity of the time delay index into account[J].Power System Technology,2010,34(4):30-36(in Chinese).
[7]
Roos J G,Kern C F.Modeling customer demand response to dynamic price signals using artificial intelligence[C]//8th International Conference on Metering and Tariffs for Energy Supply.Brighton:IEEE,1996:213-217.
[8]
张钦,王锡凡,付敏,等.需求响应视角下的智能电网[J].电力系统自动化,2009,33(17):49-55.Zhang Qin,Wang Xifan,Fu Min,et al.Smart grid from the perspective of demand response[J].Automation of Electric Power Systems,2009,33(17):49-55(in Chinese).
[9]
李来福,柳焯.需求侧管理在缓解紧急态势中的作用[J].电网技术,2008,32(7):56-60.Li Laifu,Liu Zhuo.Role of demand side management played in alleviation of urgent situation[J].Power System Technology,2008,32(7):56-60(in Chinese).
[10]
赵鸿图,朱治中,于尔铿.电力市场中需求响应市场与需求响应项目研究[J].电网技术,2010,34(5):146-153.Zhao Hongtu,Zhu Zhizhong,Yu Erkeng.Study on demand response markets and programs in electricity markets[J].Power System Technology,2010,34(5):146-153(in Chinese).
[11]
Federal Energy Regulatory Commission.A national assessment of demand response potential [EB/OL].[2012-12-10].http://www.
[12]
Woychik E C.Optimizing demand response[J].Public Utilities Fortnightly,2008(5):52-56.
[13]
North American Electric Reliability Corporation.Potential reliability impact of emerging flexible recourses,IVGTF task-1-5[R].Princeton:NERC,2011.
[14]
Kirschen D S.Demand-side view of electricity markets[J].IEEE Transactions on Power Systems,2003,18(2):520-527.
[15]
辛洁晴,程浩忠.电力需求短期分时价格弹性的特性及其应用[J].电力系统自动化,2007,31(10):32-35.Xin Jieqing,Cheng Haozhong.Properties of short-term TOU price elasticities of electricity demand and their application[J].Automation of Electric Power Systems,2007,31(10):32-35(in Chinese).
[16]
何永秀,王冰,熊威,等.基于模糊综合评价的居民智能用电行为分析与互动机制设计[J].电网技术,2012,36(10):247-258.He Yongxiu,Wang Bing,Xiong Wei,et al.Analysis of residents’ smart electricity consumption behavior based on fuzzy synthetic evaluation and the design of interactive mechanism[J].Power System Technology,2012,36(10):247-258(in Chinese).
[17]
Mathieu J L,Gadgil A J,Callaway D S,et al.Characterizing the response of commercial and industrial facilities to dynamic pricing signals from the utility[EB/OL].[2012-12-10].http://escholarship.
潘峰,程浩忠,杨镜非,等.基于支持向量机的电力系统短期负荷预测[J].电网技术,2004,28(21):39-42.Pan Feng,Cheng Haozhong,Yang Jingfei,et al.Power system short-term load forecasting based on support vector machines[J].Power System Technology,2004,28(21):39-42(in Chinese).
[20]
李瑾,刘金朋,王建军.采用支持向量机和模拟退火算法的中长期负荷预测方法[J].中国电机工程学报,2011,31(16):63-66.Li Jin,Liu Jinpeng,Wang Jianjun.Mid-long term load forecasting based on simulated annealing and SVM algorithm[J].Proceedings of the CSEE,2011,31(16):63-66(in Chinese).
[21]
李元诚,刘克文.面向大规模样本的核心向量回归电力负荷快速预测方法[J].中国电机工程学报,2010,30(28):33-38.Li Yuancheng,Liu Kewen.A rapid electric load forecasting method using core vector regression for large scale data set[J].Proceedings of the CSEE,2010,30(28):33-38(in Chinese).
[22]
刘运龙,刘继东,殷树刚.山东电力营销技术支持系统的设计与实现[J].中国电力,2008,14(3):75-80.Liu Yunlong,Liu Jidong,Yin Shugang.Design and implementation of Shandong electric power marketing technology supporting system[J].Electric Power,2008,14(3):75-80(in Chinese).
[23]
谢宏,魏江平,刘鹤立.短期负荷预测中支持向量机模型的参数选取和优化方法[J].中国电机工程学报,2006,26(22):17-22.Xie Hong,Wei Jiangping,Liu Heli.Parameter selection and optimization method of SVM model for short-term load forecasting[J].Proceedings of the CSEE,2006,26(22):17-22(in Chinese).
[24]
闫国华,朱永生.支持向量机回归的参数选择方法[J].计算机工程,2009,35(13):218-220.Yan Guohua,Zhu Yongsheng.Parameters selection method for support vector machine regression[J].Computer Engineering,2009,35(13):218-220(in Chinese).