Energy Optimization in Smart Homes Using Customer Preference and Dynamic Pricing

Muhammad Babar Rasheed, Nadeem Javaid, Ashfaq Ahmad, Mohsin Jamil, Zahoor Ali Khan, Umar Qasim and Nabil Alrajeh
Additional contact information
Muhammad Babar Rasheed: COMSATS Institute of Information Technology, Islamabad 44000, Pakistan
Nadeem Javaid: COMSATS Institute of Information Technology, Islamabad 44000, Pakistan
Ashfaq Ahmad: COMSATS Institute of Information Technology, Islamabad 44000, Pakistan
Mohsin Jamil: School of Mechanical & Manufacturing Engineering, National University of Science and Technology, Islamabad 44000, Pakistan
Zahoor Ali Khan: Internetworking Program, Faculty of Engineering, Dalhousie University, Halifax, NS B3J 4R2, Canada
Umar Qasim: Cameron Library, University of Alberta, Edmonton, AB T6G 2J8, Canada
Nabil Alrajeh: Department of Biomedical Technology, College of Applied Medical Sciences, King Saud University, Riyadh 11633, Saudi Arabia

Energies, 2016, vol. 9, issue 8, 1-25

Abstract: In this paper, we present an energy optimization technique to schedule three types of household appliances (user dependent, interactive schedulable and unschedulable) in response to the dynamic behaviours of customers, electricity prices and weather conditions. Our optimization technique schedules household appliances in real time to optimally control their energy consumption, such that the electricity bills of end users are reduced while not compromising on user comfort. More specifically, we use the binary multiple knapsack problem formulation technique to design an objective function, which is solved via the constraint optimization technique. Simulation results show that average aggregated energy savings with and without considering the human presence control system are 11.77% and 5.91%, respectively.

Keywords: demand response; peak load avoidance; energy optimization; time of use pricing; binary knapsack; smart grid (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (19)

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