博士研究生陈思运在智能家居的节能与优化的研究成果，在2014 IEEE International Conference on Automation Science and Engineering 会议发表论文《A Residential Load Scheduling Approach Based on Load Behavior Analysis》 ，于2014年8月18-22日在台湾台北参加会议。

论文信息：
Siyun Chen, Feng Gao, Xiaohong Guan, Ting Liu, Yulin Che and Yuqi Liu," A Residential Load Scheduling Approach Based on Load Behavior Analysis," in Proc. 2014 IEEE International Conference on Automation Science and Engineering

论文简介：
Residential load scheduling is of great significance for the building energy saving. But it is difficult for current methods to discover and consider the relationship between the various comfort requirements and uncertain load demand of customers. In this paper, a new method for the residential load scheduling based on load behavior analysis is proposed to reduce the electrical cost while considering the human behavior. Firstly, the multi-dimensional feature-based load profile identification is applied to identify the operating status of the appliances from the historical load data. Then, the environment record and the state models of appliances are used to estimate the comfort preferences and load demand of customers. The personalized optimal strategy of the household appliance operation is given to minimize the daily cost, according to the dynamic electrical price and the real time weather condition. Three simulations are designed to demonstrate how to identify the operation status of appliances, how to obtain the load behavior, and the performance of proposed method on cost saving.