A Study on Daily Peak Electric Load Forecasting Using Radial Basis Function Netwrok
ID:170 View Protection:ATTENDEE Updated Time:2020-11-11 12:09:55 Hits:288 Poster Presentation

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Abstract
The error correction algorithm based on the radial basis function network is proposed as a novel approach to daily electric peak load forecasting. The historical load and weather data for period (2014-2016) are used to train and evaluate for the validation of the proposed approach. Simulation results are compared with those of the feed-forward network and show that this proposed approach can be applied to forecast the daily electric peak load accurately.
Keywords
Radial basis function network,Error correction algorithm,Daily Peak load forecasting
Speaker
Heungseok Lee
Pusan National University

Submission Author
Heungseok Lee Pusan National University
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Important Date
  • Conference Date

    Oct 21

    2019

    to

    Oct 24

    2019

  • Oct 13 2019

    Abstract Notification of Acceptance

  • Oct 13 2019

    Draft paper submission deadline

  • Oct 14 2019

    Draft Paper Acceptance Notification

  • Oct 24 2019

    Registration deadline

  • Oct 29 2019

    Final Paper Deadline

Organized By
Xi'an Jiaotong University
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