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

Ting He, ZhaoYang Dong, Ke Meng, Hua Wang, Y.T. Oh
Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, Brisbane, QLD, Australia
Transmission & Distribution Conference & Exposition: Asia and Pacific, 2009

@inproceedings{he2009accelerating,

   title={Accelerating Multi-layer Perceptron based short term demand forecasting using Graphics Processing Units},

   author={He, T. and Dong, Z.Y. and Meng, K. and Wang, H. and Oh, YT},

   booktitle={Transmission & Distribution Conference & Exposition: Asia and Pacific, 2009},

   pages={1–4},

   organization={IEEE},

   year={2009}

}

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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.
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