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Smart Cities—Opportunities and Challenges pp 9–21Cite as

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

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Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 58))

Abstract

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.

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References

  1. Shareef H, Ahmed MS, Mohamed A, Al Hassan E (2018) Review on home energy management system considering demand responses, smart technologies, and intelligent controllers. IEEE Access 6:24498–24509

    Google Scholar 

  2. Aman S, Simmhan Y, Prasanna VK (2013) Energy management systems: state of the art and emerging trends. IEEE Commun Mag 51(1):114–119

    Article  Google Scholar 

  3. Theecoexperts.co.uk (2018) Home energy management systems: a comprehensive guide [online]. Available at: https://www.theecoexperts.co.uk/home-energy-managementsystems-a-comprehensive-guide. Accessed 15 Jan 2018

  4. Beaudin M, Zareipour H, Schellenberg A (2012) Residential energy management using a moving window algorithm. In: 2012 3rd IEEE PES international conference and exhibition on innovative smart grid technologies (ISGT Europe). IEEE, pp 1–8

    Google Scholar 

  5. Amer M, El-Zonkoly AM, Aziz N, M’Sirdi NK (2014) Smart home energy management system for peak average ratio reduction. Ann Univ Craiova Electr Eng Ser 180–188

    Google Scholar 

  6. Li B, Hathaipontaluk P, Luo S (2009) Intelligent oven in smart home environment. In: International conference on research challenges in computer science, 2009. ICRCCS’09. IEEE, pp 247–250

    Google Scholar 

  7. Choi J, Shin D, Shin D (2005) Research on design and implementation of the artificial intelligence agent for smart home based on support vector machine. In: International conference on natural computation. Springer, Berlin, Heidelberg, pp 1185–1188

    Google Scholar 

  8. Han J, Choi C-S, Lee I (2011) More efficient home energy management system based on ZigBee communication and infrared remote controls. IEEE Trans Consum Electron 57(1)

    Google Scholar 

  9. Pipattanasomporn M, Kuzlu M, Rahman S (2012) An algorithm for intelligent home energy management and demand response analysis. IEEE Trans Smart Grid 3(4):2166–2173

    Article  Google Scholar 

  10. Wu X, Hu X, Yin X, Moura SJ (2018) Stochastic optimal energy management of smart home with PEV energy storage. IEEE Trans Smart Grid 9(3):2065–2075

    Article  Google Scholar 

  11. Di Giorgio A, Pimpinella L (2012) An event driven smart home controller enabling consumer economic saving and automated demand side management. Appl Energy 96:92–103

    Google Scholar 

  12. Squartini S, Boaro M, De Angelis F, Fuselli D, Piazza F (2013) Optimization algorithms for home energy resource scheduling in presence of data uncertainty. In: 2013 fourth international conference on intelligent control and information processing (ICICIP). IEEE, pp 323–328

    Google Scholar 

  13. Boynuegri AR, Yagcitekin B, Baysal M, Karakas A, Uzunoglu M (2013) Energy management algorithm for smart home with renewable energy sources. In: 2013 fourth international conference on power engineering, energy and electrical drives (POWERENG). IEEE, pp 1753–1758

    Google Scholar 

  14. Dittawit K, Aagesen FA (2013) On adaptable smart home energy systems. In: Power engineering conference (AUPEC)

    Google Scholar 

  15. Zhou S, Wu Z, Li J, Zhang X-P (2014) Real-time energy control approach for smart home energy management system. Electr Power Compon Syst 42(3–4):315–326

    Article  Google Scholar 

  16. Missaoui R, Joumaa H, Ploix S, Bacha S (2014) Managing energy smart homes according to energy prices: analysis of a building energy management system. Energy Build 71:155–167

    Article  Google Scholar 

  17. Shahgoshtasbi D, Jamshidi MM (2014) A new intelligent neuro–fuzzy paradigm for energy-efficient homes. IEEE Syst J 8(2):664–673

    Article  Google Scholar 

  18. Arcos-Aviles D, Pascual J, Marroyo L, Sanchis P, Guinjoan F (2018) Fuzzy logic-based energy management system design for residential grid-connected microgrids. IEEE Trans Smart Grid 9(2):530–543

    Article  Google Scholar 

  19. Zhang Y, Zeng P, Zang C (2015) Optimization algorithm for home energy management system based on artificial bee colony in smart grid. In: 2015 IEEE international conference on cyber technology in automation, control, and intelligent systems (CYBER). IEEE, pp 734–740

    Google Scholar 

  20. Hong Y-Y, Chen C-R, Yang H-W (2015) Implementation of demand response in home energy management system using immune clonal selection algorithm. In: 2015 IEEE congress on evolutionary computation (CEC). IEEE, pp 3377–3382

    Google Scholar 

  21. Vardakas JS, Zorba N, Verikoukis CV (2015) A survey on demand response programs in smart grids: pricing methods and optimization algorithms. IEEE Commun Surv Tutor 17(1):152–178

    Article  Google Scholar 

  22. John JS (2018) Is Europe ready for automated demand response? Online, greentechgrid, Tech Rep, Jan 2018

    Google Scholar 

  23. Ghazvini MAF, Soares J, Abrishambaf O, Castro R, Vale Z (2017) Demand response implementation in smart households. Energy Build 143:129–148

    Article  Google Scholar 

  24. Federal Energy Regulatory Commission (2008) Assessment of demand response and advanced metering

    Google Scholar 

  25. Ghazvini MAF, Faria P, Ramos S, Morais H, Vale Z (2015) Incentive-based demand response programs designed by asset-light retail electricity providers for the day-ahead market. Energy 82:786–799

    Article  Google Scholar 

  26. Lang C, Okwelum E (2015) The mitigating effect of strategic behavior on the net benefits of a direct load control program. Energy Econ 49:141–148

    Article  Google Scholar 

  27. Asadinejad A, Tomsovic K (2017) Optimal use of incentive and price based demand response to reduce costs and price volatility. Electr Power Syst Res 144:215–223

    Article  Google Scholar 

  28. Nanda AK, Panigrahi CK (2016) Review on smart home energy management. Int J Ambient Energy 37(5):541–546

    Google Scholar 

  29. Vivekananthan C, Mishra Y, Li F (2015) Real-time price based home energy management scheduler. IEEE Trans Power Syst 30(4):2149–2159

    Article  Google Scholar 

  30. Fletcher J, Malalasekera W (2016) Development of a user-friendly, low-cost home energy monitoring and recording system. Energy 111:32–46

    Article  Google Scholar 

  31. Keskin ME (2017) A column generation heuristic for optimal wireless sensor network design with mobile sinks. Eur J Oper Res 260(1):291–304

    Article  MathSciNet  MATH  Google Scholar 

  32. Peng C, Huang J (2016) A home energy monitoring and control system based on ZigBee technology. Int J Green Energy 13(15):1615–1623

    Article  MathSciNet  Google Scholar 

  33. Collotta M, Pau G (2015) A novel energy management approach for smart homes using bluetooth low energy. IEEE J Sel Areas Commun 33(12):2988–2996

    Article  Google Scholar 

  34. Amzucu DM, Li H, Fledderus E (2014) Indoor radio propagation and interference in 2.4 GHz wireless sensor networks: measurements and analysis. Wirel Pers Commun 76(2):245–269

    Google Scholar 

  35. Khan AA, Razzaq S, Khan A, Khursheed F (2015) HEMSs and enabled demand response in electricity market: an overview. Renew Sustain Energy Rev 42:773–785

    Google Scholar 

  36. Wang L, Peng D, Zhang T (2015) Design of smart home system based on WiFi smart plug. Int J Smart Home 9(6):173–182

    Article  Google Scholar 

  37. Ojuroye O, Torah R, Beeby S, Wilde A (2017) Smart textiles for smart home control and enriching future wireless sensor network data. In: Sensors for everyday life. Springer, Cham, pp 159–183

    Google Scholar 

  38. Abubakar I, Khalid SN, Mustafa MW, Shareef H, Mustapha M (2017) Application of load monitoring in appliances’ energy management—a review. Renew Sustain Energy Rev 67:235–245

    Google Scholar 

  39. Pipattanasomporn M, Kuzlu M, Khamphanchai W, Saha A, Rathinavel K, Rahman S (2015) BEMOSS™: an agent platform to facilitate grid-interactive building operation with IoT devices. In: 2015 IEEE PES innovative smart grid technologies conference Asia (ISGT-Asia), 4–6 Nov 2015, pp 1–6

    Google Scholar 

  40. Marzband M, Alavi H, Ghazimirsaeid SS, Uppal H, Fernando T (2017) Optimal energy management system based on stochastic approach for a home microgrid with integrated responsive load demand and energy storage. Sustain Cities Soc 28:256–264

    Google Scholar 

  41. Zhou B, Li W, Chan KW, Cao Y, Kuang Y, Liu X, Wang X (2016) Smart home energy management systems: concept, configurations, and scheduling strategies. Renew Sustain Energy Rev 61:30–40

    Google Scholar 

  42. Yuce B, Rezgui Y, Mourshed M (2016) ANN–GA smart appliance scheduling for optimised energy management in the domestic sector. Energy Build 111:311–325

    Article  Google Scholar 

  43. Liu Y, Yuen C, Yu R, Zhang Y, Xie S (2016) Queuing-based energy consumption management for heterogeneous residential demands in smart grid. IEEE Trans Smart Grid 7(3):1650–1659

    Article  Google Scholar 

  44. Önder Z, Sezer SA, Çanak İ (2015) A Tauberian theorem for the weighted mean method of summability of sequences of fuzzy numbers. J Intell Fuzzy Syst Appl Eng Technol 28(3):1403–1409

    Google Scholar 

  45. Wu Z, Zhou S, Li J, Zhang X-P (2014) Real-time scheduling of residential appliances via conditional risk-at-value. IEEE Trans Smart Grid 5(3):1282–1291

    Article  Google Scholar 

  46. Premkumar K, Manikandan BV (2015) Fuzzy PID supervised online ANFIS based speed controller for brushless dc motor. Neurocomputing 157:76–90

    Article  Google Scholar 

  47. Choi IH, Yoo SH, Jung JH, Lim MT, Oh JJ, Song MK, Ahn CK (2015) Design of neuro-fuzzy based intelligent inference algorithm for energy-management system with legacy device. Trans Korean Inst Electr Eng 64(5):779–785

    Google Scholar 

  48. Mohsenian-Rad A-H, Leon-Garcia A (2010) Optimal residential load control with price prediction in real-time electricity pricing environments. IEEE Trans Smart Grid 1(2):120–133

    Article  Google Scholar 

  49. Guo Y, Pan M, Fang Y (2012) Optimal power management of residential customers in the smart grid. IEEE Trans Parallel Distrib Syst 23(9):1593–1606

    Article  Google Scholar 

  50. Wang Z, Yang R, Wang L (2010) Multi-agent control system with intelligent optimization for smart and energy-efficient buildings. In: IECON 2010-36th annual conference on IEEE industrial electronics society. IEEE, pp 1144–1149

    Google Scholar 

  51. Rasheed MB, Javaid N, Ahmad A, Khan ZA, Qasim U, Alrajeh N (2015) An efficient power scheduling scheme for residential load management in smart homes. Appl Sci 5(4):1134–1163

    Google Scholar 

  52. Mahmood D, Javaid N, Alrajeh N, Khan ZA, Qasim U, Ahmed I, Ilahi M (2016) Realistic scheduling mechanism for smart homes. Energies 9(3):202

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Jamia Millia Islamia, Jamia Nagar, New Delhi, 110025, India

    Mohini Yadav & Majid Jamil

  2. Electrical Engineering, Delhi Technological University, New Delhi, India

    M. Rizwan

Authors
  1. Mohini Yadav
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  2. Majid Jamil
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  3. M. Rizwan
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Editor information

Editors and Affiliations

  1. Jamia Millia Islamia, New Delhi, India

    Sirajuddin Ahmed

  2. Jamia Millia Islamia, New Delhi, India

    S. M. Abbas

  3. Jamia Millia Islamia, New Delhi, India

    Hina Zia

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Yadav, M., Jamil, M., Rizwan, M. (2020). Enabling Technologies for Smart Energy Management in a Residential Sector: A Review. In: Ahmed, S., Abbas, S., Zia, H. (eds) Smart Cities—Opportunities and Challenges. Lecture Notes in Civil Engineering, vol 58. Springer, Singapore. https://doi.org/10.1007/978-981-15-2545-2_2

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  • DOI: https://doi.org/10.1007/978-981-15-2545-2_2

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-2544-5

  • Online ISBN: 978-981-15-2545-2

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