# Electricity consumption forecasting method based on MPSO-BP neural network model

arXiv: https://arxiv.org/abs/1810.08886 · HTML: https://mlsanity.com/paper/1810.08886/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 21 Oct 2018.

## Built on by (most cited first, 1 of 1)

- [House Price Prediction Based On Deep Learning](https://mlsanity.com/paper/2204.09050/) (2022)

## Abstract (arXiv)

This paper deals with the problem of the electricity consumption forecasting method. An 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.