The invention discloses an electricity consumption intelligent prediction system and method, wherein the system comprises an intelligent electricity consumption terminal (1) as well as an electric energy collecting module (2) used for managing real-time data collection, a local storage management module (3), a predication point prediction value analyzing and calculating module (4) and a GPRS (general packet radio service) communication control module (5) which are respectively connected with the intelligent electricity consumption terminal (1), wherein the GPRS communication control module (5) is in charge of communication transmission control; and a core prediction processing algorithm of the predication point prediction value analyzing and calculating module (4) adopts a BP (back propogation) neural network. According to the invention, users can be informed of the electricity consumption situation in advance, and effective electricity consumption optimization suggests are provided for the users by combining with the electricity consumption optimization algorithm, the electricity consumption habits of users are improved, unnecessary electricity expenditure of electric appliances of the users is avoided, and electricity expense is saved for the users economically; and the power grid fluctuation caused by electricity consumption in peak time for the users can also be lowered, thus a power grid is more stable, more stable electricity power conveying is provided, the electricity consumption quality of residents is improved, and the production of enterprise electricity power users of production, manufacturing and the like operates stably.