[1] |
Gong Zheng-guo,Li Yun-sheng,Wang Peng,et al.Research and practice of information construction in power design enterprises [J].Engineering Technology (Citation Edition),2016 (10):211-213.(in Chinese)
|
[2] |
Peter A D,Hallaron D R O.Host load prediction using linear models[J]. Cluster Computing, 2000,3(4):265-280.
|
[3] |
Zhang Zong-hua,Zhang Hai-quan,Wei Chi,et al.Load prediction based on an improved AR model with weighting[J].Computer Measurement & Control,2016,24 (3):248-251.(in Chinese)
|
[4] |
Li Gang, Wang Wen-jing. Storage load forecasting research based on time series [J].Intelligent Computer and Applications,2018,8 (3):188-190.(in Chinese)
|
[5] |
Wang Dian-gang,Huang Lin,Chang Jian,et al.Load forecast- ing model based on ARIMA and CART [J].Journal of Shenzhen University Science and Engineering,2019,36(3):245-251.(in Chinese)
|
[6] |
Zhu Bin,Sun Bin. A load balancing prediction algorithm of CART and KNN[J]. Journal of Beijing University of Posts and Telecommunications,2017,40(S1):93-97.(in Chinese)
|
[7] |
Yi Ren-jie,Yu Jian,Wu Biao,et al. An Improved DV-Hop algorithm based on weighted hyperbolic positioning [J].Fire Conntrol & Command Control,2016,41 (12):96-100.(in Chinese)
|
[8] |
Zhang Liang,Ning Qian.Two improvements on CART decision tree and its application[J].Computer Engineering and Design,2015,36 (5):1209-1213.(in Chinese)
|
[9] |
Han Pu,Wang Dong-feng,Wang Fu-qiang. Multi-step-ahead prediction of wind speed time series based on error compensation [J].Computer Simulation,2014,31 (2):206-209.(in Chinese)
|
[10] |
Goel H,Melnyk I,Banerjee A.R2N2:Residual recurrent neural networks for multivariate time series forecasting[J].arXiv:1709.03159,2017.
|
[11] |
Box G E P,Jenkins G M,Reinsel G C,et al.Time series analysis:Forecasting and control[M].5th ed. Hoboken, New Jersey:John Wiley & Sons,2015.
|
[12] |
Siami-Namini S,Namin A S.Forecasting economics and financial time series:ARIMA vs.LSTM[J].arXiv:1803.06386,2018.
|
[13] |
Yan Yan-wen.Analysis and forecast of GDP in Shandong province based on ARIMA model [J].Mathematics in Practice and Theory,2018,48(4):285-292.(in Chinese)
|
[14] |
Lü Jing-ye, Du Jing-nan, Cao Ming,et al.Carbon emissions trading price prediction using the ARIMA-SVM model [J].Journal of Xi’an University of Science and Technology,2020,40(3):542-548.(in Chinese)
|
[15] |
Tang Xin-xin,Deng Guang-ming. Improvement of ARMA model based on Gevers-Wouters algorithm [J].Statistics & Decision,2018,34(2):19-22.(in Chinese)
|
[16] |
Zhu Hai-long,Yuan Zhen-ming,Yu Kai.Continuous blood pressure prediction based on the hybrid model of ARIMA and SVM[J].Journal of Hangzhou Normal University (Natural Science Edition),2018,17(5):555-560.(in Chinese)
|
[17] |
Li Xin-xin,Sang Yan-fang,Xie Ping,et al. A method for testing the stationarity of stochastic hydrological process based on discrete wavelet transform[J].System Engineering—Theory & Practice,2018,38 (7):1897-1904.(in Chinese)
|
[18] |
Zhao Z, Chen W H,Wu X M,et al.LSTM network:A deep learning approach for short-term traffic forecast[J].IET Intelligent Transport Systems,2017,11(2):68-75.
|
[19] |
Tang Ming,Lei Xiao-hui,Long Yan,et al.Water level forecasting in middle route of the south-to-north water diversion project based on long short-term memory(LSTM) [J].China Rural Water and Hydropower,2020(10):189-193.(in Chinese)
|
[20] |
Ma Z,Leung J Y.Integration of deep learning and data analytics for SAGD temperature and production analysis[J].Computational Geosciences,2020(24):1239-1255.
|
|
附中文参考文献:
|
[1] |
龚正国,李云生,王鹏,等.电力设计企业信息化建设的研究和实践[J].工程技术(引文版),2016(10):211-213.
|
[3] |
张宗华,张海全,魏驰,等.基于加权改进的 AR 模型的负载预测研究[J].计算机测量与控制,2016,24(3):248-251.
|
[4] |
李刚,王文婧.基于时间序列的存储负载预警研究[J].智能计算机与应用,2018,8(3):188-190.
|
[5] |
王电钢,黄林,常健,等.基于ARIMA 和 CART 的负载预测模型[J].深圳大学学报理工版,2019,36(3):245-251.
|
[6] |
朱斌,孙斌.结合分类回归树和 K 近邻的负载均衡预测算法[J].北京邮电大学学报,2017,40(S1):93-97.
|
[7] |
易仁杰,余剑,吴标,等.基于加权双曲线定位的 DV-Hop 改进算法[J].火力与指挥控制,2016,41(12):96-100.
|
[8] |
张亮,宁芊.CART 决策树的两种改进及应用[J].计算机工程与设计,2015,36(5):1209-1213.
|
[9] |
韩璞,王东风,王富强.基于误差补偿的风速时间序列多步预测[J].计算机仿真,2014,31(2):206-209.
|
[13] |
严彦文.基于ARIMA模型的山东省GDP的分析与预测[J].数学的实践与认识,2018,48(4):285-292.
|
[14] |
吕靖烨,杜靖南,曹铭,等.利用ARIMA-SVM模型的碳排放交易价格预测[J].西安科技大学学报,2020,40(3):542-548.
|
[15] |
唐欣欣,邓光明.基于Gevers-Wouters 算法的 ARMA 模型改进[J].统计与决策,2018,34(2):19-22.
|
[16] |
朱海龙,袁贞明,俞凯.基于ARIMA与SVM混合模型的连续血压预测[J].杭州师范大学学报(自然科学版),2018,17(5):555-560.
|
[17] |
李鑫鑫,桑燕芳,谢平,等.基于离散小波分解的水文随机过程平稳性检验方法[J].系统工程理论与实践,2018,38(7):1897-1904.
|
[19] |
唐鸣,雷晓辉,龙岩,等.基于长短时记忆网络(LSTM)的南水北调中线水位预测[J].中国农村水利水电,2020(10):189-193.
|