遗传算法参数对估算低能耗建筑能量消耗的影响

Influence of Genetic Algorithm Parameters over the Efficiency of Energy Consumption Estimation in a Low-energy Building

动态数学模型是估算低能耗建筑能源消耗的常用方法。用遗传算法优化简化灰箱数学模型,寻找模型的最优解,分析遗传算法所需参数对估算低能耗建筑能源消耗的影响。该模型通过模拟和测量数据之间的最小误差来衡量参数对遗传算法优化进程的影响,并对收敛时间、能量误差和遗传算法参数之间的关系进行了分析。

Dynamic mathematical models are utilized for estimating the energy consumption in buildings widely.The Genetic Algorithm(GA)is applied to optimize and simplify the gray-box model,which can find the nearly-optimum solution to a given problem,to analyze the influence of the parameters required in the implementation of the Genetic Algorithm to estimate the energy consumption in a low-energy building.The variable parameters of the model are modified trough the GA in order to obtain the minimum error between the model and measured data.The influence of the GA parameters variation over the estimation efficiency and convergence time is also expounded.