RIS ID

115375

Publication Details

Yong, B., Huang, L., Li, F., Shen, J., Wang, X. & Zhou, Q. (2019). A research of Monte Carlo optimized neural network for electricity load forecast. The Journal of Supercomputing, Online First 1-14.

Abstract

In this paper, we apply the Monte Carlo neural network (MCNN), a type of neural network optimized by Monte Carlo algorithm, to electricity load forecast. Meanwhile, deep MCNNs with one, two and three hidden layers are designed. Results have demonstrated that three-layer MCNN improves 70.35% accuracy for 7-week electricity load forecast, compared with traditional neural network. And five-layer MCNN improves 17.24% accuracy for 7-week forecast. This proves that MCNN has great potential in electricity load forecast.

Available for download on Sunday, March 01, 2020

Share

COinS
 

Link to publisher version (DOI)

http://dx.doi.org/10.1007/s11227-019-02828-3