  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.
