NDLI: A residential load scheduling approach based on load behavior analysis

Content Provider	IEEE Xplore Digital Library
Author	Siyun Chen Feng Gao Xiaohong Guan Ting Liu Yulin Che Yuqi Liu
Copyright Year	2014
Description	Author affiliation: SKLMS Lab., Xi'an Jiaotong Univ., Xi'an, China (Siyun Chen; Feng Gao; Xiaohong Guan; Ting Liu; Yulin Che; Yuqi Liu)
Abstract	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.
Starting Page	954
Ending Page	959
File Size	319645
Page Count	6
File Format	PDF
e-ISBN	9781479952830
DOI	10.1109/CoASE.2014.6899441
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-18
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Water heating Home appliances Load flow control Buildings Electricity Load modeling Harmonic analysis dynamic electrical price residential load scheduling comfort requirements load identification load behavior analysis
Content Type	Text
Resource Type	Article

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