Online Program Home
My Program

Abstract Details

Activity Number: 122
Type: Contributed
Date/Time: Monday, August 1, 2016 : 8:30 AM to 10:20 AM
Sponsor: Section on Physical and Engineering Sciences
Abstract #319020 View Presentation
Title: Investigation of How Customers Respond to Demand Response
Author(s): Hung-Ming Chou* and Fang-Yu Lin
Companies: Texas A&M University and Texas A&M University
Keywords: demand response ; smart grid ; EMS ; time series analysis

Demand response (DR) is getting more important in smart grids. To have successful DR implementation, one of the key elements is to be able to forecast the reaction of customer due to the price change. In this work, the challenges of forecasting customer response are discussed. Different ways of modeling the customer response are presented, compared and reviewed. One new statistical model is proposed. To overcome the lack of data, we propose a framework where the customers response due to energy management system (EMS) is simulated and the results are fed into the proposed statistic model. The results of EMS and the statistical model are compared to evaluation the forecast ability of the proposed statistical model.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2016 program

Copyright © American Statistical Association