To achieve the reduction of household electricity and promote the bilateral interaction between the consumer and the power grid, on the background of the rapid development of intelligent electricity technology and energy-saving and emission-reduction, combining intelligent electricity technology, smart appliances, behavior of household electricity-use and demand respond, the paper builds household electricity response mode flow diagram and its mathematical model. Then, the paper adopts unit commitment of genetic algorithm (GA) and the fuzzy association weighting method to achieve household electricity optimization and make electricity-use more economic and more comfortable. The results demonstrate that the proposed content is right and proper and have a good result of peak clipping, valley filling and electricity saving.