839 / 2019-04-29 22:03:21
An innovative AI-based Load forecast methodology for distribution network planning
load forecast, distribution network, planning, AI
Draft Accepted
Load forecast is an indispensable part for distribution network planning. Accurate load forecasting can give effective guidance for grid investment, especially in the distribution network. With the increase of the factors that should be considered in the forecast process, the existing load forecast approach, such as trend extrapolation method is hard to give an effective forecasting. Therefore, an innovative AI-based load forecast method is proposed in this paper. The Artificial Neural Network (ANN) is used in this paper. Finally, the effectiveness of the proposed method is verified on the practical case. The results indicate that this method is more advanced than other approaches. Thus, it is of great importance to give an accurate load forecast when planning the distribution network.
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