Abstract:In order to solve the grim situation of increasingly severe social environment and resource exhaustion, and to optimize the allocation of different energy structures, this paper uses the improved adaptive genetic algorithm to predict and analyze energy resources. With the help of a large number of power load data provided by metrology automation system, based on user group analysis and identification, the adaptive genetic algorithm and other data technologies are improved. The load is forecasted, and the energy structure of different industries and departments is deeply analyzed and discussed. Compared with several traditional prediction algorithms, the improved adaptive genetic algorithm has more accurate prediction ability. The research results show that it is necessary to do a good job of related energy prediction in advance and make a comprehensive planning of energy structure. It can lead the energy model into a new mode and open up a new era of energy Internet. To do the necessary work for the transformation and upgrading of energy structure. Comprehensive energy planning can alleviate the serious problems such as energy crisis and environmental pollution.