Enabling Technologies for Smart Energy Management in a Residential Sector: A Review

Continuous rise in energy demand with exposure in the field of smart grid creates new opportunities for energy management in both residential and commercial sector to reduce energy demand. Smart energy management system incorporates the demand response tool to shift and reduce the energy requirement. Further, this system also schedules the energy usage effectively depending on environmental parameters, load consumption profile, user priority index and energy price. Deployment of smart meters creates several opportunities to control the load profile with demand response enabling appliances. Smart energy management has the potential to reduce the carbon emissions with cost-effective energy usage involving renewable energy sources and consumer perspectives. Due to this rising interest toward smart energy management technologies, a review article based on techniques involved in energy monitoring and controlling based on consumer behavior is presented. Further, the implementation of artificial intelligence techniques and optimization approaches involved in optimal load scheduling in a residential sector are also presented.

[1]  C. K. Panigrahi,et al.  Review on smart home energy management , 2016 .

[2]  Francesco Piazza,et al.  Optimization algorithms for home energy resource scheduling in presence of data uncertainty , 2013, 2013 Fourth International Conference on Intelligent Control and Information Processing (ICICIP).

[3]  Zita Vale,et al.  Incentive-based demand response programs designed by asset-light retail electricity providers for the day-ahead market , 2015 .

[4]  Christos V. Verikoukis,et al.  A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms , 2015, IEEE Communications Surveys & Tutorials.

[5]  Nadeem Javaid,et al.  An Efficient Power Scheduling Scheme for Residential Load Management in Smart Homes , 2015 .

[6]  Saifur Rahman,et al.  An Algorithm for Intelligent Home Energy Management and Demand Response Analysis , 2012, IEEE Transactions on Smart Grid.

[7]  Stéphane Ploix,et al.  Managing Energy Smart Homes according to Energy Prices: Analysis of a Building Energy Management System , 2014 .

[8]  Hamed Mohsenian Rad,et al.  Optimal Residential Load Control With Price Prediction in Real-Time Electricity Pricing Environments , 2010, IEEE Transactions on Smart Grid.

[9]  Hamidreza Zareipour,et al.  Residential energy management using a moving window algorithm , 2012, 2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe).

[10]  Ailin Asadinejad,et al.  Optimal use of incentive and price based demand response to reduce costs and price volatility , 2017 .

[11]  Yacine Rezgui,et al.  ANN–GA smart appliance scheduling for optimised energy management in the domestic sector , 2016 .

[12]  Ying-Yi Hong,et al.  Implementation of demand response in home energy management system using immune clonal selection algorithm , 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

[13]  Owais,et al.  HEMSs and enabled demand response in electricity market: An overview , 2015 .

[14]  Il-Woo Lee,et al.  More efficient home energy management system based on ZigBee communication and infrared remote controls , 2011, IEEE Transactions on Consumer Electronics.

[15]  Xiao-Ping Zhang,et al.  Real-Time Scheduling of Residential Appliances via Conditional Risk-at-Value , 2014, IEEE Transactions on Smart Grid.

[16]  Yogesh L. Simmhan,et al.  Energy management systems: state of the art and emerging trends , 2013, IEEE Communications Magazine.

[17]  Suhuai Luo,et al.  Intelligent Oven in Smart Home Environment , 2009, 2009 International Conference on Research Challenges in Computer Science.

[18]  Dunlu Peng,et al.  Design of Smart Home System Based on WiFi Smart Plug , 2015 .

[19]  Lingfeng Wang,et al.  Multi-agent control system with intelligent optimization for smart and energy-efficient buildings , 2010, IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society.

[20]  Xiao-Ping Zhang,et al.  Real-time Energy Control Approach for Smart Home Energy Management System , 2014 .

[21]  Peng Zeng,et al.  Optimization algorithm for home energy management system based on artificial bee colony in smart grid , 2015, 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER).

[22]  Yonghong Kuang,et al.  Smart home energy management systems: Concept, configurations, and scheduling strategies , 2016 .

[23]  Mousa Marzband,et al.  Optimal energy management system based on stochastic approach for a home Microgrid with integrated responsive load demand and energy storage , 2017 .

[24]  Weeratunge Malalasekera,et al.  Development of a user-friendly, low-cost home energy monitoring and recording system , 2016 .

[25]  Changhai Peng,et al.  A home energy monitoring and control system based on ZigBee technology , 2016 .

[26]  B. V. Manikandan,et al.  Fuzzy PID supervised online ANFIS based speed controller for brushless dc motor , 2015, Neurocomputing.

[27]  Nadeem Javaid,et al.  Realistic Scheduling Mechanism for Smart Homes , 2016 .

[28]  Steve Beeby,et al.  Smart Textiles for Smart Home Control and Enriching Future Wireless Sensor Network Data , 2017 .

[29]  Mustafa Baysal,et al.  Energy management algorithm for smart home with renewable energy sources , 2013, 4th International Conference on Power Engineering, Energy and Electrical Drives.

[30]  Dongkyoo Shin,et al.  Research on Design and Implementation of the Artificial Intelligence Agent for Smart Home Based on Support Vector Machine , 2005, ICNC.

[31]  Edson O. Okwelum,et al.  The mitigating effect of strategic behavior on the net benefits of a direct load control program , 2015 .

[32]  Alessandro Di Giorgio,et al.  An event driven Smart Home Controller enabling consumer economic saving and automated Demand Side Management , 2012 .

[33]  Chau Yuen,et al.  Queuing-Based Energy Consumption Management for Heterogeneous Residential Demands in Smart Grid , 2016, IEEE Transactions on Smart Grid.

[34]  Fangxing Li,et al.  Real-Time Price Based Home Energy Management Scheduler , 2015, IEEE Transactions on Power Systems.

[35]  Mo M. Jamshidi,et al.  A New Intelligent Neuro–Fuzzy Paradigm for Energy-Efficient Homes , 2014, IEEE Systems Journal.

[36]  M. Pipattanasomporn,et al.  BEMOSS: An agent platform to facilitate grid-interactive building operation with IoT devices , 2015, 2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA).

[37]  Francesc Guinjoan,et al.  Fuzzy Logic-Based Energy Management System Design for Residential Grid-Connected Microgrids , 2018, IEEE Transactions on Smart Grid.

[38]  Giovanni Pau,et al.  A Novel Energy Management Approach for Smart Homes Using Bluetooth Low Energy , 2015, IEEE Journal on Selected Areas in Communications.

[39]  Omid Abrishambaf,et al.  Demand response implementation in smart households , 2017 .

[40]  Hong Li,et al.  Indoor Radio Propagation and Interference in 2.4 GHz Wireless Sensor Networks: Measurements and Analysis , 2014, Wirel. Pers. Commun..

[41]  Muhammed Emre Keskin.  A column generation heuristic for optimal wireless sensor network design with mobile sinks , 2017, Eur. J. Oper. Res..

[42]  Finn Arve Aagesen,et al.  On adaptable smart home energy systems , 2013, 2013 Australasian Universities Power Engineering Conference (AUPEC).

[43]  Ibrahim Çanak,et al.  A Tauberian theorem for the weighted mean method of summability of sequences of fuzzy numbers , 2015, J. Intell. Fuzzy Syst..

[44]  Hussain Shareef,et al.  Review on Home Energy Management System Considering Demand Responses, Smart Technologies, and Intelligent Controllers , 2018, IEEE Access.

[45]  Myo Taeg Lim,et al.  Design of Neuro-Fuzzy based Intelligent Inference Algorithm for Energy Management System with Legacy Device , 2015 .

[46]  Xiaofeng Yin,et al.  Stochastic Optimal Energy Management of Smart Home With PEV Energy Storage , 2018, IEEE Transactions on Smart Grid.

[47]  Hussain Shareef,et al.  Application of load monitoring in appliances’ energy management – A review , 2017 .

[48]  Miao Pan,et al.  Optimal Power Management of Residential Customers in the Smart Grid , 2012, IEEE Transactions on Parallel and Distributed Systems.