Methods to Regulate Energy Consumption in Smart Homes

A significant amount of research has been conducted in order to make home appliances more efficient in terms of energy usage. Various techniques have been designed and implemented in order to control the power demand and supply. This paper reviews different research works on a wide range of energy management techniques for smart homes aimed at reducing energy consumption and minimizing energy wastage. The idea of smart home is elaborated followed by a review of existing energy management methods which are usually based on fuzzy logic, heuristic methods, neural networks and evolutionary algorithms.

[1]  Nadeem Javaid,et al.  Home Energy Management Systems in Future Smart Grids , 2013, ArXiv.

[2]  Bilal Erman Bilgin,et al.  Performance evaluations of ZigBee in different smart grid environments , 2012, Comput. Networks.

[3]  R. Garcia-Martinez,et al.  Fuzzy Control For Improving Energy Management Within Indoor Building Environments , 2007, Electronics, Robotics and Automotive Mechanics Conference (CERMA 2007).

[4]  A. Gligor,et al.  Considerations on an Intelligent Buildings Management System for an Optimized Energy Consumption , 2006, 2006 IEEE International Conference on Automation, Quality and Testing, Robotics.

[5]  Ning Lu,et al.  Appliance Commitment for Household Load Scheduling , 2011, IEEE Transactions on Smart Grid.

[6]  Harald J. Zainzinger.  An artificial intelligence based tool for home automation using MATLAB , 1998, Proceedings Tenth IEEE International Conference on Tools with Artificial Intelligence (Cat. No.98CH36294).

[7]  Stéphane Ploix,et al.  Tabu search for the optimization of household energy consumption , 2006, 2006 IEEE International Conference on Information Reuse & Integration.

[8]  Nadeem Javaid,et al.  Residential Energy Consumption Controlling Techniques to Enable Autonomous Demand Side Management in Future Smart Grid Communications , 2013, 2013 Eighth International Conference on Broadband and Wireless Computing, Communication and Applications.

[9]  Henry Leung,et al.  Information fusion based smart home control system and its application , 2008, IEEE Transactions on Consumer Electronics.

[10]  Nadeem Javaid,et al.  A Survey of Home Energy Management Systems in Future Smart Grid Communications , 2013, 2013 Eighth International Conference on Broadband and Wireless Computing, Communication and Applications.

[11]  L. Delahoche,et al.  The Smart Home Concept : our immediate future , 2006, 2006 1ST IEEE International Conference on E-Learning in Industrial Electronics.

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

[13]  Nadeem Javaid,et al.  A Survey of Different Residential Energy Consumption Controlling Techniques for Autonomous DSM in Future Smart Grid Communications , 2013, ArXiv.

[14]  Soib Taib,et al.  PC based energy management and control system of a building , 2004, PECon 2004. Proceedings. National Power and Energy Conference, 2004..

[15]  Kim Fung Tsang,et al.  ZigBee sensor network for Advanced Metering infrastructure , 2010, 2010 Digest of Technical Papers International Conference on Consumer Electronics (ICCE).

[16]  Nadeem Javaid,et al.  Smart Home Energy Management System for Monitoring and Scheduling of Home Appliances Using Zigbee , 2013 .

[17]  Nadeem Javaid,et al.  Home Energy Management in Smart Grid , 2013, ArXiv.

[18]  Wei-Jen Lee,et al.  A Residential Consumer-Centered Load Control Strategy in Real-Time Electricity Pricing Environment , 2007, 2007 39th North American Power Symposium.

[19]  T. Tajikawa,et al.  The energy conservation by information appliance , 2002, Proceedings of the 41st SICE Annual Conference. SICE 2002..

[20]  Iain MacGill,et al.  Coordinated Scheduling of Residential Distributed Energy Resources to Optimize Smart Home Energy Services , 2010, IEEE Transactions on Smart Grid.

[21]  Duy Long Ha,et al.  Real-time dynamic multilevel optimization for Demand-side Load management , 2007, 2007 IEEE International Conference on Industrial Engineering and Engineering Management.

[22]  Nadeem Javaid,et al.  Analysis of Wireless Power Transmission , 2013, ArXiv.

[23]  S. Ari,et al.  A practical approach to individual thermal comfort and energy optimization problem , 2008, NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society.

[24]  Nadeem Javaid,et al.  Pakistan's overall energy potential assessment, comparison of LNG, TAPI and IPI gas projects , 2014 .

[25]  E. D. Spooner,et al.  Improved energy services provision through the intelligent control of distributed energy resources , 2009, 2009 IEEE Bucharest PowerTech.

[26]  Kwang-Roh Park,et al.  Remote-controllable and energy-saving room architecture based on ZigBee communication , 2009, IEEE Transactions on Consumer Electronics.

[27]  Chen Chen,et al.  An innovative RTP-based residential power scheduling scheme for smart grids , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).