Reliable and effective medium- and long-term power demand forecast is an important basis for power production and delivery, while at present, China's new energy planning is developing rapidly, the impact of wind and light volatility can not be ignored, the future of the power system planning can adapt to the demand change scenarios economically and efficiently run has become a high concern. In order to comprehensively consider the power demand and power system cooperative operation, a predictive dispatch-integrated evaluation model based on the bat algorithm optimization of the extreme learning machine algorithm and the introduction of fuzzy parameters of the source-load-storage resource cooperative operation algorithm is proposed, and an analysis and research is carried out for the example of the region in the Northwest, and the results show that the model can accurately forecast the power demand under different development scenarios, and can provide scientific references for the source-load-storage resource The results show that the model can accurately predict power demand under different development scenarios, and can provide scientific references for source-load-storage resource planning.