[1]雷绍兰.基于电力负荷时间序列混沌特性的短期负荷预测方法研究[D].重庆:重庆大学,2005.Lei Shaolan.Research on short-term load forecasting model and method based on chaotic characteristic of electric load time series[D].Chongqing:Chongqing University,2005.
[2]Paparoditis E, Sapatinas T. Short-term load forecasting: the similar shape functional time-series predictor[J]. IEEE Transactions on Power Systems, 2013, 28(4): 3818-3825.
[3]任明明.基于频域分解的短期负荷预测研究[D].乌鲁木齐:新疆大学,2013.
Ren Mingming.The short-term load forecasting research based on frequency domain decomposition[D] Urumqi:Xinjiang University,2013.
[4]Ghelardoni L, Ghio A, Anguita D. Energy load forecasting using empirical mode decomposition and support vector regression[J]. IEEE Transactions on Smart Grid, 2013, 4(1): 549-556.
[5]邰能灵,侯志俭,李涛,等.基于小波分析的电力系统短期负荷预测方法[J].中国电机工程学报,2003,23(1):45-50.
Tai Nengling, Hou Zhijian, Li Tao, et al. New principle based on wavelet transform for power system short-term load forecasting[J].Proceedings of the CSEE,2003,23(1):45-50.
[16]Pandey A S, Singh D, Sinha S K. Intelligent hybrid wavelet models for short-term load forecasting[J]. IEEE Transactions on Power Systems, 2010, 25(3): 1266-1273.
[7]杨正瓴,王渭巍,曹东波,等.短期负荷预测的Ensemble混沌预测方法[J].电力系统自动化,2007,31(23):34-37.
Yang Zhengling, Wang Weiwei, Cao Dongbo, et al. Ensemble chaotic forecasting method in short term load forecasting[J].Automation of Electric Power Systems,2007,31(23):34-37.
[8]Willis H L, Northcote-Green J E D. Spatial electric load forecasting: a tutorial review[J]. Proceedings of the IEEE, 1983, 71(2): 232-253.
[9]雷绍兰,孙才新,周湶,等.基于径向基神经网络和自适应神经模糊系统的电力短期负荷预测方法[J].中国电机工程学报,2005,25(22):78-82.
Lei Shaolan, Sun Caixin, Zhou Quan, et al. Short-term load forecasting method based on rbf neural network and anfis system[J]. Proceedings of the CSEE,2005,25(22):78-82.
[10]Amjady N, Keynia F, Zareipour H. Short-term load forecast of microgrids by a new bilevel prediction strategy[J]. IEEE Transactions on Smart Grid, 2010, 1(3): 286-294.
[11]曾鸣,吕春泉,田廓,等.基于细菌群落趋药性优化的最小二乘支持向量机短期负荷预测方法[J]. 中国电机工程学报,2011,31(34) :93-99.
Zeng Ming, Lu Chunquan, Tian Kuo, et al. Least squares-support vector machine load forecasting approach optimized by bacterial colony chemotaxis method[J]. Proceedings of the CSEE,2011,31(34) :93-99.
[12]Du Xinhui, Tian Feng, Tan Shaoqiong. Study of power system short-term load forecast based on artificial neural network and genetic algorithm[C]//2010 International Conference on Computational Aspects of Social Networks (CASoN). IEEE, 2010: 725-728.
[13]冯丽,邱家驹.基于模糊多目标遗传优化算法的节假日电力负荷预测[J].中国电机工程学报,2005,25(10):29-34.
Feng Li, Qiu Jiaju. Short-term load forecasting for anomalous days based on fuzzy multi-objective genetic optimization algorithm[J].Proceedings of the CSEE,2005,25(10):29-34.
[14]姜勇.南京地区春节负荷特性分析及其预测方法[J].电网技术,2003,27(5):72-74.
Jiang Yong. Load characteristics analysis and load forecasting during spring festival in nanjing district[J]. Power System Technology,2003,27(5):72-74.
[15]丁恰,张辉,张君毅,等.考虑气象信息的节假日负荷预测[J].电力系统自动化,2005,29(17):93-97.
Ding Qia, Zhang Hui, Zhang Junyi. Temperature sensitive method for short term load forecasting during holidays[J].Automation of Electric Power Systems,2005,29(17):93-97.
[16]韩民晓,姚属军.短期负荷预测方法的研究及在线应用[J].电力系统自动化,1998,22(10):34-37.
Han Minxiao,Yao Shujun.The research and on-line application of power system short-term load forecasting method[J].Automation of Electric Power Systems,1998,22(10):34-37.
[17]马文晓,白晓民,沐连顺.基于人工神经网络和模糊推理的短期负荷预测方法[J].电网技术,2003,27(5):29-32.
Ma Wenxiao, Bai Xiaomin, Mu Lianshun. Short term load forecasting using artificial neuron network and fuzzy inference[J]. Power System Technology,2003,27(5):29-32.〖LL〗〖JP4〗[18]史文博,王健,沈添福,等.基于改进倍比平滑法的节假日短期负荷预测方法[J].电力建设,2014,35(10):21-25.
Shi Wenbo, Wang Jian, Sheng Tianfu, et al. Prediction method of short-term load in holidays based on improved multiple proportions smoothing method [J].Electric Power Construction,2014,35(10):21-25.
[19]毛李帆,姚建刚,金永顺,等.中长期负荷预测的异常数据辨识与缺失数据处理[J]. 电网技术,2010,34(7):148-153.
Mao Lifan,Yao Jiangang,Jin Yongshun,et al.Abnormal data identification and missing data filling in medium and long-term load forecasting[J]. Power System Technology,2010,34(7):148-153.
[20]康重庆,夏清,刘梅.电力系统负荷预测[M].北京:中国电力出版社,2007:140,252-254.
|