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SCIENCE CHINA Information Sciences, Volume 63 , Issue 5 : 159204(2020) https://doi.org/10.1007/s11432-018-9594-9

Hybrid teaching–learning artificial neural network for city-level electrical load prediction

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  • ReceivedMay 24, 2018
  • AcceptedAug 11, 2018
  • PublishedOct 9, 2019

Abstract

There is no abstract available for this article.


Acknowledgment

This work was supported by National Natural Science Foundation of China (Grant Nos. 61873114, 51705206), China Postdoctoral Science Foundation (Grant Nos. 2018T110457, 2016M601741), and Project Foundation for Priority Academic Program Development of Jiangsu Higher Education Institutions.


Supplement

Appendixes A–D.


References

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  • Figure 1

    (Color online) (a) Flowchart for predicting city-level energy consumption and (b) predicted daily city electrical loads using iTLBO-ANN model with/without data pre-processing.

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