智能建筑中基于深度学习的能耗优化策略

Energy consumption optimization strategy based on deep learning in intelligent building

随着全球能源需求的不断增长和环境保护意识的增强,作为节能减排的重要领域,智能建筑的能耗优化问题受到广泛关注。文章旨在探讨智能建筑中基于深度学习的能耗优化策略,通过深度学习技术实现对建筑能耗的精准预测和高效管理,以期达到节能减排的目标。

With the continuous growth of global energy demand and the increasing awareness of environmental protection,the optimization of energy consumption in smart buildings,as an important field of energy conservation and emission reduction,has received increasing attention.This article aims to explore energy consumption optimization strategies based on deep learning in intelligent buildings,achieving accurate prediction and efficient management of building energy consumption through deep learning technology,in order to achieve the goal of energy conservation and emission reduction.