Electricity consumption forecasting method based on MPSO-BP neural network model
Youshan Zhang, Liangdong Guo, Qi Li, Junhui Li
Available Online December 2016.
- https://doi.org/10.2991/iceeecs-16.2016.133How to use a DOI?
- MPSO-BP algorithm; Electricity consumption; Neural network; Forecasting model
- This paper deals with the problem of the electricity consumption forecasting method. A MPSO-BP(modified particle swarm optimization-back propagation) neural network model is constructed based on the history data of a mineral company of Anshan in China. The simulation showed that the convergence of the algorithm and forecasting accuracy using the obtained model are better than those of other traditional ones, such as BP,PSO, fuzzy neural network and so on. Then we predict the electricity consumption of each month in 2017 based on the MPSO-BP neural network model.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Youshan Zhang AU - Liangdong Guo AU - Qi Li AU - Junhui Li PY - 2016/12 DA - 2016/12 TI - Electricity consumption forecasting method based on MPSO-BP neural network model BT - 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016) PB - Atlantis Press SP - 674 EP - 678 SN - 2352-538X UR - https://doi.org/10.2991/iceeecs-16.2016.133 DO - https://doi.org/10.2991/iceeecs-16.2016.133 ID - Zhang2016/12 ER -