Energy Optimization in Smart Homes Using Customer Preference and Dynamic Pricing
نویسندگان
چکیده
Muhammad Babar Rasheed 1, Nadeem Javaid 1,*, Ashfaq Ahmad 1, Mohsin Jamil 2, Zahoor Ali Khan 3, Umar Qasim 4 and Nabil Alrajeh 5 1 COMSATS Institute of Information Technology, Islamabad 44000, Pakistan; [email protected] (M.B.R.); [email protected] (A.A.) 2 School of Mechanical & Manufacturing Engineering, National University of Science and Technology, Islamabad 44000, Pakistan; [email protected] 3 Internetworking Program, Faculty of Engineering, Dalhousie University, Halifax, NS B3J 4R2, Canada; [email protected] 4 Cameron Library, University of Alberta, Edmonton, AB T6G 2J8, Canada; [email protected] 5 Department of Biomedical Technology, College of Applied Medical Sciences, King Saud University, Riyadh 11633, Saudi Arabia; [email protected] * Correspondence: [email protected]; Tel.: +92-300-579-2728
منابع مشابه
Learning-Based Energy Management System for Scheduling of Appliances inside Smart Homes
Improper designs of the demand response programs can lead to numerous problems such as customer dissatisfaction and lower participation in these programs. In this paper, a home energy management system is designed which schedules appliances of smart homes based on the user’s specific behavior to address these issues. Two types of demand response programs are proposed for each house which are sh...
متن کاملScheduling of Residential Multiclass Appliances in Smart Homes UsingV2H Capability of Electric Vehicle
With the aim of reducing cost of electricity consumption and peak load reduction, tools requirement for better managing electricity consumption have become inevitable in recent years. Smart home has some equipment which are controllable and this ability is used for increasing comfort and minimizing electricity cost for residence. As a key component of smart home , Electric Vehicle(EV) ,increase...
متن کاملA New Real-Time Pricing Scheme Considering Smart Building Energy Management System
Real-time pricing schemes make the customers to feel the energy price volatility and improve their load profiles. However, these schemes have no significant effect on demand-side uncertainty reduction. In this paper, considering smart grid infrastructures and smart building Energy Management System (EMS), a new real-time pricing scheme is presented to reduce the uncertainty of demand-side. In t...
متن کاملReal Time Information Based Energy Management Using Customer Preferences and Dynamic Pricing in Smart Homes
This paper presents real time information based energy management algorithms to reduce electricity cost and peak to average ratio (PAR) while preserving user comfort in a smart home. We categorize household appliances into thermostatically controlled (tc), user aware (ua), elastic (el), inelastic (iel) and regular (r) appliances/loads. An optimization problem is formulated to reduce electricity...
متن کاملAn Integrated Optimization+ Learning Approach to Optimal Dynamic Pricing for the Retailer with Multi-type Customers in Smart Grids
In this paper, we consider a realistic and meaningful scenario in the context of smart grids where an electricity retailer serves three different types of customers, i.e., customers with an optimal home energy management system embedded in their smart meters (C-HEMS), customers with only smart meters (C-SM), and customers without smart meters (C-NONE). The main objective of this paper is to sup...
متن کامل