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A research of Monte Carlo optimized neural network for electricity load forecast.
- Source :
-
Journal of Supercomputing . Aug2020, Vol. 76 Issue 8, p6330-6343. 14p. - Publication Year :
- 2020
-
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. [ABSTRACT FROM AUTHOR]
- Subjects :
- *MONTE Carlo method
*ELECTRICITY
*ALGORITHMS
*FORECASTING
Subjects
Details
- Language :
- English
- ISSN :
- 09208542
- Volume :
- 76
- Issue :
- 8
- Database :
- Academic Search Index
- Journal :
- Journal of Supercomputing
- Publication Type :
- Academic Journal
- Accession number :
- 144641898
- Full Text :
- https://doi.org/10.1007/s11227-019-02828-3