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Accelerating Multi-layer Perceptron based short term demand forecasting using Graphics Processing Units

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Load forecasting plays a vitally important role in the operation and planning of the power system in a deregulated electricity market. A large variety of methods have been proposed for load forecasting. In this paper, we introduce the Graphics Processing Units (GPU) based computing to accelerate the short term load forecasting with Multi-layer Perceptron (MLP). The proposed method is tested with the Queensland electricity market demand series. The result shows that the GPU based computing largely reduce the computational cost.
Original languageEnglish
Title of host publicationTransmission and Distribution Conference and Exposition: Asia and Pacific, T and D Asia 2009
DOIs
Publication statusPublished - 16 Dec 2009
Externally publishedYes
EventTransmission and Distribution Conference and Exposition: Asia and Pacific, T and D Asia 2009 - Seoul, Korea, Republic of
Duration: 26 Oct 200930 Oct 2009

Publication series

NameTransmission and Distribution Conference and Exposition: Asia and Pacific, T and D Asia 2009

Conference

ConferenceTransmission and Distribution Conference and Exposition: Asia and Pacific, T and D Asia 2009
PlaceKorea, Republic of
CitySeoul
Period26/10/0930/10/09

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

  • Gpu
  • Load Forecasting
  • Multi-Layer Perceptron
  • Neural Network

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