1 |
LUO J, WU L, WAN W J .Optimization of the exhaust gas oxygen content for coal-fired power plant boiler[J].Energy Procedia,2017,105:3262-3268. doi:10.1016/j.egypro.2017.03.730
|
2 |
苏涛 .燃煤电厂烟气含氧量软测量方法研究[D].西安:西安科技大学,2020. doi:10.1177/0142331220932390
|
|
SU T .Study on soft sensor method of oxygen content in flue gas ofcoal-fired power plant[D].Xi’an:Xi’an University of Science and Technology,2020. doi:10.1177/0142331220932390
|
3 |
吴坡,段松涛,张江南,等 .数据驱动型实时燃烧优化控制架构及应用[J].电力工程技术,2021,40(2):197-204. doi:10.12158/j.2096-3203.2021.02.028
|
|
WU P, DUAN S T, ZHANG J N,et al .Architecture and application of data-driven on-line combustion optimization control[J].Electric Power Engineering Technology,2021,40(2):197-204. doi:10.12158/j.2096-3203.2021.02.028
|
4 |
李建强,张莹莹,牛成林 .基于PSO-LSSVM模型的火电厂烟气含氧量预测[J].热能动力工程,2018,33(7):49-55. doi:10.16146/j.cnki.rndlgc.2018.07.009
|
|
LI J Q, ZHANG Y Y, NIU C L .Prediction of the oxygen content in flue gas of powerplant based on PSO-LSSVM model[J].Journal of Engineering for Thermal Energy and Power,2018,33(7):49-55. doi:10.16146/j.cnki.rndlgc.2018.07.009
|
5 |
任怡睿,林济铿,宁剑,等 .一种基于占优度和Choquet积分的电力系统故障诊断方法综合评估策略[J].电力系统保护与控制,2021,49(6):145-154.
|
|
REN Y R, LIN J K, NING J,et al .A comprehensive evaluation strategy of a power system fault diagnosis method based on dominance and the Choquet integral[J].Power System Protection and Control,2021,49(6):145-154.
|
6 |
黄树帮,陈耀,金宇清 .碳中和背景下多通道特征组合超短期风电功率预测[J].发电技术,2021,42(1):60-68. doi:10.12096/j.2096-4528.pgt.20103
|
|
HUANG S B, CHEN Y, JIN Y Q .A multi-channel feature combination model for ultra-short-term wind power prediction under carbon neutral background[J].Power Generation Technology,2021,42(1):60-68. doi:10.12096/j.2096-4528.pgt.20103
|
7 |
苏涛,潘红光,黄向东,等 .基于改进PSO-SVM的燃煤电厂烟气含氧量软测量[J].西安科技大学学报,2020,40(2):342-348.
|
|
SU T, PAN H G, HUANG X D,et al .Soft sensor of flue gas oxygen content based on improved PSO-SVM in coal-fired powerplant[J].Journal of Xi’an University of Science and Technology,2020,40(2):342-348.
|
8 |
县国成,王永攀,高俊,等 .基于ELM-SVM模型与电能计量大数据的窃电识别技术研究[J].智慧电力,2022,50(9):82-89.
|
|
XIAN G C, WANG Y P, GAO J,et al .Power theft identification technology based on ELM-SVM model and big data of electric energy measurement[J].Smart Power,2022,50(9):82-89.
|
9 |
刘敦楠,张悦,彭晓峰,等 .计及相似日与气象因素的电动汽车充电负荷聚类预测[J].电力建设,2021,42(2):43-49. doi:10.12204/j.issn.1000-7229.2021.02.006
|
|
LIU D N, ZHANG Y, PENG X F,et al .Clustering prediction of electric vehicle charging load considering similar days and meteorological factors[J].Electric Power Construction,2021,42(2):43-49. doi:10.12204/j.issn.1000-7229.2021.02.006
|
10 |
李志军,王硕,张家安,等 .基于变论域模糊逻辑的互联电力系统负荷频率控制[J].电力系统保护与控制,2021,49(16):151-160.
|
|
LI Z J, WANG S, ZHANG J A,et al .Variable universe fuzzy logic-based load frequency control in an interconnected power system[J].Power System Protection and Control,2021,49(16):151-160.
|
11 |
徐艳春,阚锐涵,高永康,等 .混合动力系统电能质量扰动分析及治理[J].电力建设,2021,42(4):17-26. doi:10.12204/j.issn.1000-7229.2021.04.003
|
|
XU Y C, KAN R H, GAO Y K,et al .Research on power quality improvement of hybrid power system[J].Electric Power Construction,2021,42(4):17-26. doi:10.12204/j.issn.1000-7229.2021.04.003
|
12 |
王子馨,胡俊杰,刘宝柱 .基于长短期记忆网络的电力系统量测缺失数据恢复方法[J].电力建设,2021,42(5):1-8. doi:10.12204/j.issn.1000-7229.2021.05.001
|
|
WANG Z X, HU J J, LIU B Z .Short-term wind power forecasting based on LSTM[J].Electric Power Construction,2021,42(5):1-8. doi:10.12204/j.issn.1000-7229.2021.05.001
|
13 |
张华赢,吴显,游奕弘 .基于循环神经网络的配电网非线性负荷建模[J].电网与清洁能源,2022,38(2):53-60. doi:10.3969/j.issn.1674-3814.2022.02.008
|
|
ZHANG H Y, WU X, YOU Y H .Modeling of nonlinear loads in the distribution network based on recurrent neural network[J].Power System and Clean Energy,2022,38(2):53-60. doi:10.3969/j.issn.1674-3814.2022.02.008
|
14 |
VAPNIK V N .Statistical learning theory[M].New Jersey:Wiley-Inter Science,1998.
|
15 |
VAPNIK V N .The nature of statistical learning theory[M].New York:Springer Verlag,1999:3-21. doi:10.1007/978-1-4757-3264-1_8
|
16 |
TANG Z H, LI Y Y, KUSIAK A .A deep learning model for measuring oxygen content of boiler flue gas[J].IEEE Access,2020,8:12268-12278. doi:10.1109/access.2020.2965199
|
17 |
PAN H G, SU T, HUANG X D,et al .LSTM-based soft sensor design for oxygen content of flue gas in coal-fired power plant[J].Transactions of the Institute of Measurement and Control,2021,43(1):78-87. doi:10.1177/0142331220932390
|
18 |
刘长良,李淑娜 .基于LS-SVM和单纯形的烟气含氧量软测量[J].热能动力工程,2010,25(3):292-296.
|
|
LIU C L, LI S N .Soft measurements of flue-gas oxygen content based on LS-SVM and a simplex algorithm[J].Journal of Engineering for Thermal Energy and Power,2010,25(3):292-296.
|
19 |
周霞,柳善建 .基于多目标LSSVM回归的火电厂烟气含氧量软测量[J].计算机测量与控制,2014,22(10):3101-3104. doi:10.3969/j.issn.1671-4598.2014.10.006
|
|
ZHOU X, LIU S J .Soft-sensing method based on multiobjective LSSVM for oxygen content in flue gas of a coal-fired power plant[J].Computer Measurement & Control,2014,22(10):3101-3104. doi:10.3969/j.issn.1671-4598.2014.10.006
|
20 |
龙文,梁昔明,龙祖强 .基于混合PSO优化的LSSVM锅炉烟气含氧量预测控制[J].中南大学学报(自然科学版),2012,43(3):980-985.
|
|
LONG W, LIANG X M, LONG Z Q .O2 content in flue gas of boilers predictive control based onhybrid PSO and LSSVM[J].Journal of Central South University (Science and Technology),2012,43(3):980-985.
|
21 |
李建强,赵凯,陈星旭,等 .600 MW燃煤机组最优氧量与配风方式的联合优化[J].中国电机工程学报,2017,37(15):4422-4429.
|
|
LI J Q, ZHAO K, CHEN X X,et al .Combined optimization of optimal oxygen content and second air distribution in 600 MW coal-fired unit[J].Proceedings of the CSEE,2017,37(15):4422-4429.
|
22 |
SUYKENS J A K, GESTEL T V, BRABANTER J D,et al .Least squares support vector machines[M].Singapore:World Scientific Publishing Company,2002. doi:10.1142/5089
|
23 |
SUYKENS J A K, VANDEWALLE J .Least squares support vector machine classifiers[J].Neural Processing Letters,1999,9(3):293-300. doi:10.1023/a:1018628609742
|
24 |
KENNEDY J, EBERHART R .Particle swarm optimization[C]//Proceedings of IEEE Conference on Neural Networks.Perth,Australia:IEEE,1995:1942-1948.
|
25 |
SHAPIRO J .Genetic algorithms in machine learning[M].Heidelberg:Springer-Verlag,2001:146-168. doi:10.1007/3-540-44673-7_7
|