967 / 2019-04-30 22:51:20
Prediction for the Maximum Frequency Deviation of Post-disturbance Based on the Long Short-term Memory Network
long short-term memory network;,the maximum frequency deviation of post-disturbance;,the appearance time of the maximum frequency deviation;,time series.
Draft Accepted
A method based on the long short-term memory network (LSTM) to predict the maximum frequency deviation and its occurrence time of post-disturbance is proposed. In this paper, the inertial center frequency of 0-1s after disturbance is used as input, which substantially reduces the amount of data acquired from the system. Utilizing the memory characteristics of the long short- term memory network, this method extracts the time relationship between the disturbed frequencies, which provides a new method for predicting the maximum frequency deviation and its occurrence time of the disturbed system.
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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