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Publication Type : Journal Article
Publisher : SPRINGER
Source : Advances in Intelligent Systems and Computing (SPRINGER), vol. 394, pp. 1049-1058, 2016.
Campus : Chennai
School : School of Engineering
Center : Amrita Innovation & Research
Department : Electronics and Communication
Verified : Yes
Year : 2016
Abstract : Dynamic demand response (DR) and demand side management (DSM) are the important functions that allow the customer to reduce the peak load demand. This results in the reduced energy consumption cost and better user experience. In DSM, the customers can make informed decisions regarding their energy consumption, and it helps to reshape their load profile. In this chapter, we proposed an integrated solution to predict the electricity demand and made a load shift in a locality at a given day. The system presented in this chapter expands the DR to residential loads by scheduling and controlling the appliance. The electricity demand in the home is forecasted by a decision support system, which helps the user to save energy by recommending optimal run time schedule for appliances, given user constraints and TOU pricing from the utility. The schedule is communicated to the appliance and executed by the appliance control interface.
Cite this Research Publication : C Ganesh Kumar, S Januja Josephine, and Premanand V Chandramani, “Mining Based Device Control for Home Automation”, Advances in Intelligent Systems and Computing (SPRINGER), vol. 394, pp. 1049-1058, 2016.