932 / 2019-04-30 17:48:36
A Study on Daily Peak Electric Load Forecasting Using Radial Basis Function Netwrok
Radial basis function network,Error correction algorithm,Daily Peak load forecasting
Draft Accepted
Heungseok Lee / Pusan National University
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.
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
Contact Information