A research of Monte Carlo optimized neural network for electricity load forecast

Publication Type:
Journal Article
Journal of Supercomputing, 2020, 76, (8), pp. 6330-6343
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© 2019, Springer Science+Business Media, LLC, part of Springer Nature. 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.
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