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An Overview of the Building Energy Management System Considering the Demand Response Programs, Smart Strategies and Smart Grid

Electricity demand is increasing, as a result of increasing consumers in the electricity market. By growing smart technologies such as smart grid and smart energy management systems, customers were given a chance to actively participate in demand response programs (DRPs), and reduce their electricity bills as a result. This study overviews the DRPs and their practices, along with home energy management systems (HEMS) and load management techniques. The paper provides brief literature on HEMS technologies and challenges. The paper is organized in a way to provide some technical information about DRPs and HEMS to help the reader understand different concepts about the smart grid, and be able to compare the essential concerns about the smart grid. The article includes a brief discussion about DRPs and their importance for the future of energy management systems. It is followed by brief literature about smart grids and HEMS, and a home energy management system strategy is also discussed in detail. The literature shows that storage devices have a huge impact on the efficiency and performance of energy management system strategies.
- Universiti Malaysia Terengganu Malaysia
- University of Malaya Malaysia
- University of Malaya Malaysia
- Universiti Tenaga Nasional Malaysia
- Universiti Tenaga Nasional Malaysia
Technology, Economics, Macroeconomics, Energy Storage Systems, Systems engineering, Engineering, Electricity, electricity markets, Business, Smart Homes, Energy management system, smart grid, Demand response, T, Statistics, Energy management, Operations management, Energy Management, Physical Sciences, Control and Synchronization in Microgrid Systems, 690, Smart Grid Applications, Environmental economics, Geometry, Smart grid, TK Electrical engineering. Electronics Nuclear engineering, T Technology (General), demand response programs, home energy management system, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Risk analysis (engineering), Demand Response in Smart Grids, Electrical and Electronic Engineering, Grid, Home Energy, Demand management, Security Challenges in Smart Grid Systems, Computer science, Control and Systems Engineering, Electrical engineering, Management system, Energy (signal processing), Mathematics
Technology, Economics, Macroeconomics, Energy Storage Systems, Systems engineering, Engineering, Electricity, electricity markets, Business, Smart Homes, Energy management system, smart grid, Demand response, T, Statistics, Energy management, Operations management, Energy Management, Physical Sciences, Control and Synchronization in Microgrid Systems, 690, Smart Grid Applications, Environmental economics, Geometry, Smart grid, TK Electrical engineering. Electronics Nuclear engineering, T Technology (General), demand response programs, home energy management system, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Risk analysis (engineering), Demand Response in Smart Grids, Electrical and Electronic Engineering, Grid, Home Energy, Demand management, Security Challenges in Smart Grid Systems, Computer science, Control and Systems Engineering, Electrical engineering, Management system, Energy (signal processing), Mathematics
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).40 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
