一种基于决策树分类算法的家庭能量动态调度系统  

Dynamic scheduling system of home energy based on decision tree classification algorithm

作　　者：贾志刚[1] 贺蓉[1] 李仁发[1] 曾刚[2] Jia Zhigang;He Rong;Li Renfa;Zeng Gang(College of Information Science & Engineering, Hunan University, Changsha 410082, China;Graduate School of Engineering, Nagoya University, Nagoya 464S603 , Japan)

机构地区：[1]湖南大学信息科学与工程学院,长沙410082 [2]日本名古屋大学大学院工学研究科,日本名古屋4648603

出　　处：《计算机应用研究》2016年第9期2619-2624,共6页Application Research of Computers

基　　金：国家"863"计划资助项目(2012AA01A301-01);高等学校博士学科点专项科研基金资助项目(20120161120021)

摘　　要：针对家庭能量管理系统的整体优化调度问题,提出了一种基于决策树分类算法的家庭能量动态调度系统。根据用户的需求不同将系统分为经济模式和环保模式两种,建立了光伏系统发电量预测模型并提出了家用蓄电池使用过程中的约束条件,然后利用ID3分类算法对历史用电信息进行分析并构建了用于动态调度的决策树。仿真实验结果表明,经济模式动态调度系统能够降低用户的用电花费,环保模式动态调度系统可以起到减少二氧化碳排放量的作用,从而验证了所提出调度系统的有效性。In order to realize the overall optimization scheduling of home energy management system, this paper proposed a home energy dynamic scheduling system based on decision tree classification algorithm. Firstly, to meet the demands of users,the system included two types, namely, economic model and environmental protection model, constructed the predicting model of photovoltaic power generation capacity and proposed constraints of the home storage battery during being used. Then it used ID3 classification algorithm to analyze the historical information and built the decision tree for dynamic scheduling. The simulation results show that the economic model reduces the users5 electricity bills, the environmental protection model reduces carbon dioxide emissions. It demonstrates the effectiveness of the proposed scheduling system.Key words: home energy management; scheduling system; decision tree; cost of electricity;

关 键 词：家庭能量管理 调度系统 决策树 用电费用 二氧化碳排放 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]