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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
An Intelligent Load Management System with Renewable Energy Integration for Smart Homes
IEEE Access, Volume 5, Article 7948743, Year 2017
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Description
Demand side management (DSM) will play a significant role in the future smart grid by managing loads in a smart way. DSM programs, realized via home energy management systems for smart cities, provide many benefits; consumers enjoy electricity price savings and utility operates at reduced peak demand. In this paper, evolutionary algorithms-based (binary particle swarm optimization, genetic algorithm, and cuckoo search) DSM model for scheduling the appliances of residential users is presented. The model is simulated in time of use pricing environment for three cases: 1) traditional homes; 2) smart homes; and 3) smart homes with renewable energy sources. Simulation results show that the proposed model optimally schedules the appliances resulting in electricity bill and peaks reductions. © 2013 IEEE.
Authors & Co-Authors
Javaid, Nadeem
Pakistan, Islamabad
Comsats University Islamabad
Ullah, Ihsan
Pakistan, Peshawar
University of Engineering and Technology, Peshawar
Akbar, Mariam
Pakistan, Rawalpindi
Pmas-arid Agriculture University Rawalpindi
Iqbal, Zafar M.
Pakistan, Attock
Comsats University Islamabad, Attock Campus
Ali Khan, Farman
Saudi Arabia, Riyadh
College of Applied Medical Sciences
Alrajeh, Nabil Ali
Pakistan, Islamabad
Comsats University Islamabad
Alabed, Mohamad Souheil
Pakistan, Islamabad
Comsats University Islamabad
Statistics
Citations: 150
Authors: 7
Affiliations: 5
Identifiers
Doi:
10.1109/ACCESS.2017.2715225
e-ISSN:
21693536
Research Areas
Genetics And Genomics