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Volumn 30, Issue 18, 2006, Pages 77-82

Online forecasting of steam turbine exhaust enthalpy based on support vector machine method

Author keywords

Exhaust enthalpy; Online forecasting; Steam turbine; Support vector machine

Indexed keywords

BACKPROPAGATION; ECONOMICS; ENTHALPY; FORECASTING; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS;

EID: 33751074960     PISSN: 10001026     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (12)

References (17)
  • 1
    • 1642370534 scopus 로고    scopus 로고
    • Study on a method of wetness measurement based on resonant cavity perturbation for steam turbine exhaust
    • HAN Zhonghe, ZHANG Shu'e, TIAN Songfeng, et al. Study on a method of wetness measurement based on resonant cavity perturbation for steam turbine exhaust. Proceedings of the CSEE, 2003, 23 (12): 199-202.
    • (2003) Proceedings of the CSEE , vol.23 , Issue.12 , pp. 199-202
    • Han, Z.1    Zhang, S.2    Tian, S.3
  • 2
    • 7244236615 scopus 로고    scopus 로고
    • Experimental investigation into the properties of wet steam flow in model steam turbine
    • SU Hailin, CAI Xiaoshu, MESSNER J, et al. Experimental investigation into the properties of wet steam flow in model steam turbine. Proceedings of the CSEE, 2004, 24 (9): 257-261.
    • (2004) Proceedings of the CSEE , vol.24 , Issue.9 , pp. 257-261
    • Su, H.1    Cai, X.2    Messner, J.3
  • 3
    • 26644473194 scopus 로고    scopus 로고
    • Study on a method of wetness measurement on line and industrial test for steam turbine exhaust
    • WANG Shenglong, YANG Shanrang, WANG Jianguo, et al. Study on a method of wetness measurement on line and industrial test for steam turbine exhaust. Proceedings of the CSEE, 2005, 25 (17): 83-87.
    • (2005) Proceedings of the CSEE , vol.25 , Issue.17 , pp. 83-87
    • Wang, S.1    Yang, S.2    Wang, J.3
  • 4
    • 33751098733 scopus 로고    scopus 로고
    • Online calculation of exhaust enthalpy and various operation characteristic in turbine
    • CUI Yinghong, ZHANG Chunfa, DING Qianling. Online calculation of exhaust enthalpy and various operation characteristic in turbine. Turbine Technology, 2002, 44 (3): 172-174.
    • (2002) Turbine Technology , vol.44 , Issue.3 , pp. 172-174
    • Cui, Y.1    Zhang, C.2    Ding, Q.3
  • 5
    • 0036485302 scopus 로고    scopus 로고
    • An approximate method of online monitoring relative internal efficiency for condensing steam turbine
    • LI Yong, CAO Lihua, YANG Shanrang. An approximate method of online monitoring relative internal efficiency for condensing steam turbine. Proceedings of the CSEE, 2002, 22 (2): 64-67.
    • (2002) Proceedings of the CSEE , vol.22 , Issue.2 , pp. 64-67
    • Li, Y.1    Cao, L.2    Yang, S.3
  • 6
    • 33751106370 scopus 로고    scopus 로고
    • A thermodynamics method of online calculation steam turbine exhaust enthalpy
    • HAN Zhonghe, YANG Kun, TIAN Songfeng, et al. A thermodynamics method of online calculation steam turbine exhaust enthalpy. Power Engineering, 2004, 24 (3): 356-360.
    • (2004) Power Engineering , vol.24 , Issue.3 , pp. 356-360
    • Han, Z.1    Yang, K.2    Tian, S.3
  • 7
    • 3142740935 scopus 로고    scopus 로고
    • On-line computation method for steam turbine exhaust enthalpy based on BP neural network
    • GUO Jianglong, ZHANG Shufang, CHEN Haiping. On-line computation method for steam turbine exhaust enthalpy based on BP neural network. Journal of Engineering for Thermal Energy and Power, 2004, 19 (2): 179-182.
    • (2004) Journal of Engineering for Thermal Energy and Power , vol.19 , Issue.2 , pp. 179-182
    • Guo, J.1    Zhang, S.2    Chen, H.3
  • 8
    • 24344469195 scopus 로고    scopus 로고
    • Calculation of steam turbine's exhaust enthalpy by using the hierarchical radial basis function network
    • GAO Junru, DING Guangbin, MENG Xin, et al. Calculation of steam turbine's exhaust enthalpy by using the hierarchical radial basis function network. Power Engineering, 2005, 25 (4): 466-469.
    • (2005) Power Engineering , vol.25 , Issue.4 , pp. 466-469
    • Gao, J.1    Ding, G.2    Meng, X.3
  • 9
    • 2942633189 scopus 로고    scopus 로고
    • Short-term load forecasting based on input dimension reduction
    • XU Tao, HE Renmu, WANG Peng, et al. Short-term load forecasting based on input dimension reduction. Automation of Electric Power Systems, 2004, 28 (6): 51-54.
    • (2004) Automation of Electric Power Systems , vol.28 , Issue.6 , pp. 51-54
    • Xu, T.1    He, R.2    Wang, P.3
  • 10
    • 18544377981 scopus 로고    scopus 로고
    • Support vector machines with simulated annealing algorithms in electricity load forecasting
    • PAI Pingfeng, HONG Weichiang. Support vector machines with simulated annealing algorithms in electricity load forecasting. Energy Conversion and Management, 2005, 46 (17): 2669-2688.
    • (2005) Energy Conversion and Management , vol.46 , Issue.17 , pp. 2669-2688
    • Pai, P.1    Hong, W.2
  • 11
    • 6344246239 scopus 로고    scopus 로고
    • Research on natural gas load forecasting based on least squares support vector machine
    • Shanghai, China. New York, NY, USA: IEEE
    • LIU Han, LIU Ding, LIANG Yanming, et al. Research on natural gas load forecasting based on least squares support vector machine// Proceedings of the Third International Conference on Machine Learrling and Cybemetics: Vol 5, Aug 26-29, 2004, Shanghai, China. New York, NY, USA: IEEE, 2004: 3124-3128.
    • (2004) Proceedings of the Third International Conference on Machine Learrling and Cybemetics , vol.5 , pp. 3124-3128
    • Liu, H.1    Liu, D.2    Liang, Y.3
  • 12
    • 18344381649 scopus 로고    scopus 로고
    • Distribution system reconfiguration based on the support vector machine
    • LIU Wei, HAN Zhenxiang. Distribution system reconfiguration based on the support vector machine. Automation of Electric Power Systems, 2005, 29 (7): 48-52.
    • (2005) Automation of Electric Power Systems , vol.29 , Issue.7 , pp. 48-52
    • Liu, W.1    Han, Z.2
  • 13
    • 32344434722 scopus 로고    scopus 로고
    • Infrared thermal image detecting of high voltage insulator contamination grades based on support vector machine
    • HE Hongying, YAO Jiangang, JIANG Zhenglong, et al. Infrared thermal image detecting of high voltage insulator contamination grades based on support vector machine. Automation of Electric Power Systems, 2005, 29 (24): 70-74, 82.
    • (2005) Automation of Electric Power Systems , vol.29 , Issue.24
    • He, H.1    Yao, J.2    Jiang, Z.3
  • 14
    • 33646874406 scopus 로고    scopus 로고
    • Assessment of surface contamination of high voltage insulator based on least squares support vector machine
    • JIAO Shangbin, LIU Ding. Assessment of surface contamination of high voltage insulator based on least squares support vector machine. Automation of Electric Power Systems, 2006, 30 (6): 61-65.
    • (2006) Automation of Electric Power Systems , vol.30 , Issue.6 , pp. 61-65
    • Jiao, S.1    Liu, D.2
  • 15
    • 0003450542 scopus 로고    scopus 로고
    • The nature of statistical learning theory
    • New York, USA: Springer
    • VAPNIK V N. The nature of statistical learning theory. New York, USA: Springer, 1999.
    • (1999)
    • Vapnik, V.N.1
  • 16
    • 0742321291 scopus 로고    scopus 로고
    • A study on reduced support vector machines
    • LIN K M, LIN C J. A study on reduced support vector machines. IEEE Trans on Neural Networks, 2003, 14 (6): 1449-1459.
    • (2003) IEEE Trans on Neural Networks , vol.14 , Issue.6 , pp. 1449-1459
    • Lin, K.M.1    Lin, C.J.2
  • 17
    • 10644240948 scopus 로고    scopus 로고
    • Ship power load forecasting using support vector machine
    • WANG Xihuai, ZHU Sifeng. Ship power load forecasting using support vector machine. Proceedings of the CSEE, 2004, 24 (10): 36-39.
    • (2004) Proceedings of the CSEE , vol.24 , Issue.10 , pp. 36-39
    • Wang, X.1    Zhu, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.