计算机应用与软件2026，Vol.43Issue(6)：46-50,5.DOI:10.3969/j.issn.1000-386x.2026.06.007
基于气象参数的能源系统管理软件与系统算法
ENERGY SYSTEM MANAGEMENT SOFTWARE AND SYSTEM ALGORITHM BASED ON METEOROLOGICAL PARAMETERS
摘要
Abstract
Building energy consumption cannot be accurately predicted due to the influence of complex meteorological parameters.In response to this situation,an energy system management software and algorithm based on meteorological parameters are proposed.Using DeST to simulate a public building in Nanjing and obtain meteorological parameters and building energy consumption,a BP neural network energy consumption prediction model was established using meteorological parameters as input.Genetic algorithm was used to optimize the model.The results show that the optimized model had higher prediction accuracy.In order to achieve real-time monitoring and analysis of building energy consumption data,a set of energy system management platform based on meteorological parameters has been developed using the B/S architecture,which can implement dynamic management of energy consumption.关键词
建筑能耗/BP神经网络/遗传算法/B/S架构Key words
Building energy consumption prediction/BP neural network/Genetic algorithm/B/S architecture分类
信息技术与安全科学引用本文复制引用
黄晓君,刘清惓,杨杰,宋月..基于气象参数的能源系统管理软件与系统算法[J].计算机应用与软件,2026,43(6):46-50,5.基金项目
国家自然科学基金项目(41875035). （41875035）
