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The Development of Medium-Long Term Load Forecasting Software Based on LabVIEW

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Advances in Technology and Management

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 165))

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Abstract

In order to make medium-long term load forecasting become more efficient, convenient, accurate, this paper develops a medium-long term load forecasting software bases on windows in power system. This software uses the method of object-oriented programming makes the system conveniently expand and upgrade. It includes three parts, the module of user management, the module of historical data management and the module of prediction model library. This software has friendly man-machine interface, easy-to-use, various forecasting methods, wide application and quickly compute speed, etc.

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References

  1. Niu, D.-X., Cao, S.-H., Zhao, L., et al.: Power load forecasting technology and its application. China electric power press, Beijing (1998)

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  2. Kang, C.-Q., Xia, Q., Zhang, P.-M.: Summary and discuss of developable direction of power system load forecasting. Automation of Power Systems 28(17), 1–11 (2004)

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  3. Cheng, H.-Z., Yang, Z.-L., Shen, G., et al.: The database of medium-long term load forecasting in east china power grid and load forecasting software. East China Electric Power (6), 52–57 (2002)

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  4. Huang, W., Fei, W.-G., Wang, B.-G., Jiang, B.-Y.: The realize of the medium-long term load packages in power system. Modern Electric Power 26, 2187(1), 1–4

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Author information

Authors and Affiliations

  1. Information Engineering School, Nanchang University, Nanchang, 330031, China

    Huping Yang & Chengfei Wang

Authors
  1. Huping Yang
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  2. Chengfei Wang
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Corresponding author

Correspondence to Huping Yang .

Editor information

Editors and Affiliations

  1. Jeju ACM Chapter, 102 Jejudaehakno, Jeju-, 1, Ara 1-dong, Jeju, 690756, Korea, Republic of (South Korea)

    Haenakon Kim

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Yang, H., Wang, C. (2012). The Development of Medium-Long Term Load Forecasting Software Based on LabVIEW. In: Kim, H. (eds) Advances in Technology and Management. Advances in Intelligent and Soft Computing, vol 165. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29637-6_100

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  • DOI: https://doi.org/10.1007/978-3-642-29637-6_100

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29636-9

  • Online ISBN: 978-3-642-29637-6

  • eBook Packages: EngineeringEngineering (R0)

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