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Review

A comprehensive review of demand response strategies and the role of emergent technologies for sustainable home energy management systems

ORCID Icon &
Pages 2262-2282 | Received 13 May 2021, Accepted 26 Jun 2023, Published online: 24 Jul 2023

References

  • Aalami, H., G. R. Yousefi, and M. Parsa Moghadam. 2008. “Demand Response Model Considering EDRP and TOU Programs.” 2008 IEEE/PES Transmission and Distribution Conference and Exposition.
  • Abubakar, I., S. N. Khalid, M. W. Mustafa, Hussain Shareef, and M. Mustapha. 2017. “Application of Load Monitoring in Appliances’ Energy Management–A Review.” Renewable and Sustainable Energy Reviews 67: 235–245. https://doi.org/10.1016/j.rser.2016.09.064.
  • Affonso, Carolina M., and Luiz C. P. da Silva. 2010. “Potential Benefits of Implementing Load Management to Improve Power System Security.” International Journal of Electrical Power & Energy Systems 32 (6): 704–710. https://doi.org/10.1016/j.ijepes.2010.01.004.
  • Afzal, Muhammad, Qi Huang, Waqas Amin, Khalid Umer, Asif Raza, and Muhammad Naeem. 2020. “Blockchain Enabled Distributed Demand Side Management in Community Energy System with Smart Homes.” IEEE Access 8: 37428–37439. https://doi.org/10.1109/ACCESS.2020.2975233.
  • Aghaei, Jamshid, and Mohammad-Iman Alizadeh. 2013. “Demand Response in Smart Electricity Grids Equipped with Renewable Energy Sources: A Review.” Renewable and Sustainable Energy Reviews 18: 64–72. https://doi.org/10.1016/j.rser.2012.09.019.
  • Ahmad, Tanveer, and Huanxin Chen. 2018. “Utility Companies Strategy for Short-term Energy Demand Forecasting Using Machine Learning Based Models.” Sustainable Cities and Society 39: 401–417. https://doi.org/10.1016/j.scs.2018.03.002.
  • Ahmed, Fahim, Nadeem Javaid, Awais Manzoor, Malik Ali Judge, Fozia Feroze, and Zahoor Ali Khan. 2017. “Cost and Comfort Based Optimization of Residential Load in Smart Grid.” International Conference on Emerging Internetworking, Data & Web Technologies.
  • Ahmed, Maytham S., Azah Mohamed, Raad Z. Homod, and Hussain Shareef. 2016. “Hybrid LSA-ANN Based Home Energy Management Scheduling Controller for Residential Demand Response Strategy.” Energies 9 (9): 716. https://doi.org/10.3390/en9090716.
  • Ahmed, Maytham S., Azah Mohamed, Tamer Khatib, Hussain Shareef, Raad Z Homod, and Jamal Abd Ali. 2017. “Real Time Optimal Schedule Controller for Home Energy Management System Using New Binary Backtracking Search Algorithm.” Energy and Buildings 138: 215–227. https://doi.org/10.1016/j.enbuild.2016.12.052.
  • Ajitha, A., Maitri Goel, Mohit Assudani, Sudha Radhika, and Sanket Goel. 2022. “Design and Development of Residential Sector Load Prediction Model During COVID-19 Pandemic Using LSTM Based RNN.” Electric Power Systems Research 212: 108635. https://doi.org/10.1016/j.epsr.2022.108635.
  • Ajitha, A., and Sudha Radhika. 2021. “IoT-Based System for Residential Peak Load Management and Monitoring of Connected Load.” Advances in Systems, Control and Automations: Select Proceedings of ETAEERE 2020.
  • Alaoui, Khawla Belamfedel, and Ismail Boumhidi. 2021. “Smart Load Management for a Stand-Alone Wind-Solar Hybrid System.” International Journal of Ambient Energy, 1–9. https://doi.org/10.1080/01430750.2021.1875045.
  • Alasseri, Rajeev, Ashish Tripathi, T. Joji Rao, and K. J. Sreekanth. 2017. “A Review on Implementation Strategies for Demand Side Management (DSM) in Kuwait Through Incentive-Based Demand Response Programs.” Renewable and Sustainable Energy Reviews 77: 617–635. https://doi.org/10.1016/j.rser.2017.04.023.
  • Al Faruque, Mohammad Abdullah, and Korosh Vatanparvar. 2015. “Energy Management-as-a-service Over Fog Computing Platform.” IEEE Internet of Things Journal 3 (2): 161–169. https://doi.org/10.1109/JIOT.2015.2471260.
  • Ali, Syed Saqib, and Bong Jun Choi. 2020. “State-of-the-Art Artificial Intelligence Techniques for Distributed Smart Grids: A Review.” Electronics 9 (6): 1030. https://doi.org/10.3390/electronics9061030.
  • Ali, Mubbashir, Amir Safdarian, and Matti Lehtonen. 2014. “Demand Response Potential of Residential HVAC Loads Considering Users Preferences.” IEEE PES Innovative Smart Grid Technologies, Europe.
  • Al Khuffash, Kamal. 2018. “Smart Grids—Overview and Background Information.” In Application of Smart Grid Technologies, 1–10. Elsevier.
  • Almusaylim, Zahrah A, and Noor Zaman. 2019. “A Review on Smart Home Present State and Challenges: Linked to Context-Awareness Internet of Things (IoT).” Wireless Networks 25 (6): 3193–3204. https://doi.org/10.1007/s11276-018-1712-5.
  • Althaher, Sereen, Pierluigi Mancarella, and Joseph Mutale. 2015. “Automated Demand Response from Home Energy Management System Under Dynamic Pricing and Power and Comfort Constraints.” IEEE Transactions on Smart Grid 6 (4): 1874–1883. https://doi.org/10.1109/TSG.2014.2388357.
  • Alwan, Hayder O, Hamidreza Sadeghian, and Zhifang Wang. 2018. “Decentralized Demand Side Management Optimization for Residential and Commercial Load.” 2018 IEEE International Conference on Electro/Information Technology (EIT).
  • Andoni, Merlinda, Valentin Robu, David Flynn, Simone Abram, Dale Geach, David Jenkins, Peter McCallum, and Andrew Peacock. 2019. “Blockchain Technology in the Energy Sector: A Systematic Review of Challenges and Opportunities.” Renewable and Sustainable Energy Reviews 100: 143–174. https://doi.org/10.1016/j.rser.2018.10.014.
  • Aoun, Alain, Hussein Ibrahim, Mazen Ghandour, and Adrian Ilinca. 2019. “Supply Side Management vs. Demand Side Management of a Residential Microgrid Equipped with an Electric Vehicle in a Dual Tariff Scheme.” Energies 12 (22): 4351. https://doi.org/10.3390/en12224351.
  • Arun, S. L., and M. P. Selvan. 2017. “Intelligent Residential Energy Management System for Dynamic Demand Response in Smart Buildings.” IEEE Systems Journal 12 (2): 1329–1340. https://doi.org/10.1109/JSYST.2017.2647759.
  • Aslam, Sheraz, Zafar Iqbal, Nadeem Javaid, Zahoor Ali Khan, Khursheed Aurangzeb, and Syed Irtaza Haider. 2017. “Towards Efficient Energy Management of Smart Buildings Exploiting Heuristic Optimization with Real Time and Critical Peak Pricing Schemes.” Energies 10 (12): 2065. https://doi.org/10.3390/en10122065.
  • Atef, Sara, and Amr B. Eltawil. 2019. “A Comparative Study Using Deep Learning and Support Vector Regression for Electricity Price Forecasting in Smart Grids.” 2019 IEEE 6th International Conference on Industrial Engineering and Applications (ICIEA).
  • Attia, Amira M., Karim H. Youssef, and Nabil H. Abbasy. 2018. “Load Management Using Multiple Sequential Load Shaping Techniques.” 2018 IEEE PES/IAS PowerAfrica.
  • Ayan, Onur, and Belgin Emre Turkay. 2017. “Smart Home Energy Management Technologies Based on Demand Side Management and a Review of Smart Plugs with Smart Thermostats.” 2017 10th International Conference on Electrical and Electronics Engineering (ELECO), Bursa, Turkey.
  • Ayodele, T. R., A. S. O. Ogunjuyigbe, K. O. Akpeji, and O. O. Akinola. 2017. “Prioritized Rule Based Load Management Technique for Residential Building Powered by PV/Battery System.” Engineering Science and Technology, an International Journal 20 (3): 859–873. https://doi.org/10.1016/j.jestch.2017.04.003.
  • Balakumar, P., and S. Sathiya. 2017. “Demand Side Management in Smart Grid Using Load Shifting Technique.” 2017 IEEE International Conference on Electrical, Instrumentation and Communication Engineering (ICEICE).
  • Basumallik, Sagnik, Rui Ma, and Sara Eftekharnejad. 2019. “Packet-data Anomaly Detection in PMU-based State Estimator Using Convolutional Neural Network.” International Journal of Electrical Power & Energy Systems 107: 690–702. https://doi.org/10.1016/j.ijepes.2018.11.013.
  • Beaudin, Marc, and Hamidreza Zareipour. 2017. “Home Energy Management Systems: A Review of Modelling and Complexity.” In Energy Solutions to Combat Global Warming, 753–793. Springer.
  • Bedi, Guneet, Ganesh Kumar Venayagamoorthy, Rajendra Singh, Richard R Brooks, and Kuang-Ching Wang. 2018. “Review of Internet of Things (IoT) in Electric Power and Energy Systems.” IEEE Internet of Things Journal 5 (2): 847–870. https://doi.org/10.1109/JIOT.2018.2802704.
  • Blake, Sean T., and Dominic T. J. O'Sullivan. 2018. “Optimization of Distributed Energy Resources in an Industrial Microgrid.” Procedia CIRP 67: 104–109. https://doi.org/10.1016/j.procir.2017.12.184.
  • Chavali, Phani, Peng Yang, and Arye Nehorai. 2014. “A Distributed Algorithm of Appliance Scheduling for Home Energy Management System.” IEEE Transactions on Smart Grid 5 (1): 282–290. https://doi.org/10.1109/TSG.2013.2291003.
  • Chellamani, Ganesh Kumar, and Premanand Venkatesh Chandramani. 2019. “Demand Response Management System with Discrete Time Window Using Supervised Learning Algorithm.” Cognitive Systems Research 57: 131–138. https://doi.org/10.1016/j.cogsys.2018.10.030.
  • Chen, Chen, Shalinee Kishore, and Lawrence V Snyder. 2011. “An Innovative RTP-based Residential Power Scheduling Scheme for Smart Grids.” 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
  • Chen, Xiaodao, Tongquan Wei, and Shiyan Hu. 2013. “Uncertainty-aware Household Appliance Scheduling Considering Dynamic Electricity Pricing in Smart Home.” IEEE Transactions on Smart Grid 4 (2): 932–941. https://doi.org/10.1109/TSG.2012.2226065.
  • Chen, Zhi, Lei Wu, and Yong Fu. 2012. “Real-time Price-Based Demand Response Management for Residential Appliances via Stochastic Optimization and Robust Optimization.” IEEE Transactions on Smart Grid 3 (4): 1822–1831. https://doi.org/10.1109/TSG.2012.2212729.
  • Cheng, Lefeng, and Tao Yu. 2019. “A New Generation of AI: A Review and Perspective on Machine Learning Technologies Applied to Smart Energy and Electric Power Systems.” International Journal of Energy Research 43 (6): 1928–1973. https://doi.org/10.1002/er.4333.
  • Darab, Cosmin, Radu Tarnovan, Antoniu Turcu, and Corina Martineac. 2019. “Artificial Intelligence Techniques for Fault Location and Detection in Distributed Generation Power Systems.” 2019 8th International Conference on Modern Power Systems (MPS).
  • De Dear, R., and Stephen White. 2008. “Residential Air Conditioning, Thermal Comfort and Peak Electricity Demand Management.” Proceedings of Conference: Air Conditioning and the Low Carbon Cooling Challenge, Cumberland Lodge, Windsor, UK.
  • Deng, Ruilong, Zaiyue Yang, Mo-Yuen Chow, and Jiming Chen. 2015. “A Survey on Demand Response in Smart Grids: Mathematical Models and Approaches.” IEEE Transactions on Industrial Informatics 11 (3): 570–582. https://doi.org/10.1109/TII.2015.2414719.
  • Dharani, Rajavelu, Madasamy Balasubramonian, Thanikanti Sudhakar Babu, and Benedetto Nastasi. 2021. “Load Shifting and Peak Clipping for Reducing Energy Consumption in an Indian University Campus.” Energies 14 (3): 558. https://doi.org/10.3390/en14030558.
  • Dranka, Géremi Gilson, and Paula Ferreira. 2019. “Review and Assessment of the Different Categories of Demand Response Potentials.” Energy 179: 280–294. https://doi.org/10.1016/j.energy.2019.05.009.
  • Du, Yuefang F., Lin Jiang, Yuanzheng Li, and Qinghua Wu. 2016. “A Robust Optimization Approach for Demand Side Scheduling Considering Uncertainty of Manually Operated Appliances.” IEEE Transactions on Smart Grid 9 (2): 743–755. https://doi.org/10.1109/TSG.2016.2564159.
  • Elkazaz, Mahmoud H., Ayman A Hoballah, and Ahmed M. Azmy. 2016. “Operation Optimization of Distributed Generation Using Artificial Intelligent Techniques.” Ain Shams Engineering Journal 7 (2): 855–866. https://doi.org/10.1016/j.asej.2016.01.008.
  • Esther, B. Priya, and K. Sathish Kumar. 2016. “A Survey on Residential Demand Side Management Architecture, Approaches, Optimization Models and Methods.” Renewable and Sustainable Energy Reviews 59: 342–351. https://doi.org/10.1016/j.rser.2015.12.282.
  • Ford, Vitaly, Ambareen Siraj, and William Eberle. 2014. “Smart Grid Energy Fraud Detection Using Artificial Neural Networks.” 2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG).
  • Gelazanskas, Linas, and Kelum A. A. Gamage. 2014. “Demand Side Management in Smart Grid: A Review and Proposals for Future Direction.” Sustainable Cities and Society 11: 22–30. https://doi.org/10.1016/j.scs.2013.11.001.
  • Gellings, Clark W. 1985. “The Concept of Demand-Side Management for Electric Utilities.” Proceedings of the IEEE 73 (10): 1468–1470. https://doi.org/10.1109/PROC.1985.13318.
  • Gellings, Clark W. 2017. “Evolving Practice of Demand-side Management.” Journal of Modern Power Systems and Clean Energy 5 (1): 1–9. https://doi.org/10.1007/s40565-016-0252-1.
  • Ghasempour, Alireza. 2019. “Internet of Things in Smart Grid: Architecture, Applications, Services, Key Technologies, and Challenges.” Inventions 4 (1): 22. https://doi.org/10.3390/inventions4010022.
  • Gyamfi, Samuel, Susan Krumdieck, and Tania Urmee. 2013. “Residential Peak Electricity Demand Response—Highlights of Some Behavioural Issues.” Renewable and Sustainable Energy Reviews 25: 71–77. https://doi.org/10.1016/j.rser.2013.04.006.
  • Hamidi, Vandad, Furong Li, and Francis Robinson. 2009. “Demand Response in the UK's Domestic Sector.” Electric Power Systems Research 79 (12): 1722–1726. https://doi.org/10.1016/j.epsr.2009.07.013.
  • Han, Mengjie, Ross May, Xingxing Zhang, Xinru Wang, Da Yan Song Pan, Yuan Jin, and Liguo Xu. 2019. “A Review of Reinforcement Learning Methodologies for Controlling Occupant Comfort in Buildings.” Sustainable Cities and Society 51: 101748. https://doi.org/10.1016/j.scs.2019.101748.
  • Hansen, Timothy M., Edwin K. P. Chong, Siddharth Suryanarayanan, Anthony A. Maciejewski, and Howard Jay Siegel. 2016. “A Partially Observable Markov Decision Process Approach to Residential Home Energy Management.” IEEE Transactions on Smart Grid 9 (2): 1271–1281. https://doi.org/10.1109/TSG.2016.2582701.
  • Hosseini, Seyed Mohsen, Raffaele Carli, and Mariagrazia Dotoli. 2019. “Robust Energy Scheduling of Interconnected Smart Homes with Shared Energy Storage Under Quadratic Pricing.” 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE).
  • Hosseini, Seyed Mohsen, Raffaele Carli, and Mariagrazia Dotoli. 2020. “Robust Optimal Energy Management of a Residential Microgrid Under Uncertainties on Demand and Renewable Power Generation.” IEEE Transactions on Automation Science and Engineering 18 (2): 618–637. https://doi.org/10.1109/TASE.2020.2986269.
  • Hossein Motlagh, Naser, Mahsa Mohammadrezaei, Julian Hunt, and Behnam Zakeri. 2020. “Internet of Things (IoT) and the Energy Sector.” Energies 13 (2): 494. https://doi.org/10.3390/en13020494.
  • Hu, Qinran, Fangxing Li, Xin Fang, and Linquan Bai. 2016. “A Framework of Residential Demand Aggregation with Financial Incentives.” IEEE Transactions on Smart Grid 9 (1): 497–505. https://doi.org/10.1109/TSG.2016.2631083.
  • Hu, Mian, Jiang-Wen Xiao, Shi-Chang Cui, and Yan-Wu Wang. 2018. “Distributed Real-Time Demand Response for Energy Management Scheduling in Smart Grid.” International Journal of Electrical Power & Energy Systems 99: 233–245. https://doi.org/10.1016/j.ijepes.2018.01.016.
  • Huang, Hantao, Yuehua Cai, Hang Xu, and Hao Yu. 2017. “A Multiagent Minority-Game-Based Demand-Response Management of Smart Buildings Toward Peak Load Reduction.” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 36 (4): 573–585. https://doi.org/10.1109/TCAD.2016.2571847.
  • Huang, Wujing, Ning Zhang, Chongqing Kang, Mingxuan Li, and Molin Huo. 2019. “From Demand Response to Integrated Demand Response: Review and Prospect of Research and Application.” Protection and Control of Modern Power Systems 4 (1): 1–13. https://doi.org/10.1186/s41601-019-0126-4.
  • Ibrahim, Muhammad Sohail, Wei Dong, and Qiang Yang. 2020. “Machine Learning Driven Smart Electric Power Systems: Current Trends and New Perspectives.” Applied Energy 272: 115237. https://doi.org/10.1016/j.apenergy.2020.115237.
  • Jabir, Hussein Jumma, Jiashen Teh, Dahaman Ishak, and Hamza Abunima. 2018. “Impacts of Demand-Side Management on Electrical Power Systems: A Review.” Energies 11 (5): 1050. https://doi.org/10.3390/en11051050.
  • Jaramillo, Lucas Bolívar, and Anke Weidlich. 2016. “Optimal Microgrid Scheduling with Peak Load Reduction Involving an Electrolyzer and Flexible Loads.” Applied Energy 169: 857–865. https://doi.org/10.1016/j.apenergy.2016.02.096.
  • Javaid, Nadeem, Mudassar Naseem, Muhammad Babar Rasheed, Danish Mahmood, Shahid Ahmed Khan, Nabil Alrajeh, and Zafar Iqbal. 2017. “A New Heuristically Optimized Home Energy Management Controller for Smart Grid.” Sustainable Cities and Society 34: 211–227. https://doi.org/10.1016/j.scs.2017.06.009.
  • Javor, Dario, and Aleksandar Janjic. 2016. “Application of Demand Side Management Techniques in Successive Optimization Procedures.” Communications in Dependability and Quality Management 19 (4): 40–51.
  • Jindal, Anish, Mukesh Singh, and Neeraj Kumar. 2018. “Consumption-aware Data Analytical Demand Response Scheme for Peak Load Reduction in Smart Grid.” IEEE Transactions on Industrial Electronics 65 (11): 8993–9004. https://doi.org/10.1109/TIE.2018.2813990.
  • Jordehi, A Rezaee. 2019. “Optimisation of Demand Response in Electric Power Systems, a Review.” Renewable and Sustainable Energy Reviews 103: 308–319. https://doi.org/10.1016/j.rser.2018.12.054.
  • Ju, Ping, X. X. Zhou, W. J. Chen, Y. P. Yu, and C. Qin. 2018. “Smart Grid Plus Research Overview.” Electric Power Automation Equipment 38 (05): 2–11. https://doi.org/10.16081/j.issn.1006-6047.2018.05.001.
  • Kabir, Md Arifur, and A. Hasib Chowdhury. 2020. ��A Dynamic-Adaptive Load Shedding Methodology to Improve Frequency Resilience of Power Systems.” International Journal of Electrical Power & Energy Systems 122: 106169. https://doi.org/10.1016/j.ijepes.2020.106169.
  • Kaldoudi, Eleni, and George Drosatos. 2019. “Blockchain Applications in the Biomedical Domain: A Scoping Review.” Computational and Structural Biotechnology Journal. https://doi.org/10.1016/j.csbj.2019.01.010.
  • Khan, Imran. 2019. “Energy-saving Behaviour as a Demand-Side Management Strategy in the Developing World: The Case of Bangladesh.” International Journal of Energy and Environmental Engineering 10 (4): 493–510. https://doi.org/10.1007/s40095-019-0302-3.
  • Kim, Jongbae, Jinsung Byun, Daebeom Jeong, Myeong-in Choi, Byeongkwan Kang, and Sehyun Park. 2015. “An IoT-Based Home Energy Management System Over Dynamic Home Area Networks.” International Journal of Distributed Sensor Networks 11 (10): 828023. https://doi.org/10.1155/2015/828023.
  • Kinhekar, Nandkishor, Narayana Prasad Padhy, and Hari Om Gupta. 2013. “Demand Side Management for Residential Consumers.” 2013 IEEE Power & Energy Society General Meeting.
  • Kumar, T. Anil, and A. Ajitha. 2017. “Development of IOT Based Solution for Monitoring and Controlling of Distribution Transformers.” 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT).
  • Kumar, Nallapaneni Manoj, Aneesh A. Chand, Maria Malvoni, Kushal A. Prasad, Kabir A Mamun, F. R. Islam, and Shauhrat S. Chopra. 2020. “Distributed Energy Resources and the Application of AI, IoT, and Blockchain in Smart Grids.” Energies 13 (21): 5739. https://doi.org/10.3390/en13215739.
  • Li, Weixian, Thillainathan Logenthiran, Van-Tung Phan, and Wai Lok Woo. 2018. “Implemented IoT-based Self-learning Home Management System (SHMS) for Singapore.” IEEE Internet of Things Journal 5 (3): 2212–2219. https://doi.org/10.1109/JIOT.2018.2828144.
  • Li, Shenglin, Junjie Yang, Wenzhan Song, and An Chen. 2018. “A Real-time Electricity Scheduling for Residential Home Energy Management.” IEEE Internet of Things Journal 6 (2): 2602–2611. https://doi.org/10.1109/JIOT.2018.2872463.
  • Lin, Yu-Hsiu. 2018. “Design and Implementation of an IoT-oriented Energy Management System Based on Non-intrusive and Self-organizing Neuro-fuzzy Classification as an Electrical Energy Audit in Smart Homes.” Applied Sciences 8 (12): 2337. https://doi.org/10.3390/app8122337.
  • Lin, Yu-Hsiu, and Yu-Chen Hu. 2018. “Electrical Energy Management Based on a Hybrid Artificial Neural Network-particle Swarm Optimization-integrated Two-stage Non-intrusive Load Monitoring Process in Smart Homes.” Processes 6 (12): 236. https://doi.org/10.3390/pr6120236.
  • Liu, Zhengfu, Qifu Lu, Xiangyu Kong, Hongxing Wang, Chao Sheng, Suping Quan, and Yuting Wang. 2019. “Transmission Line Congestion Management for Large-scale Renewable Energy Access to Power Grid with DSM.” IOP Conference Series: Materials Science and Engineering.
  • Lloret, Jaime, Jesus Tomas, Alejandro Canovas, and Lorena Parra. 2016. “An Integrated IoT Architecture for Smart Metering.” IEEE Communications Magazine 54 (12): 50–57. https://doi.org/10.1109/MCOM.2016.1600647CM.
  • Logenthiran, T., D. Srinivasan, and E. Phyu. 2015. “Particle Swarm Optimization for Demand Side Management in Smart Grid.” IEEE Innovative Smart Grid Technologies. https://doi.org/10.1109/ISGT-Asia.2015.7386973.
  • Lu, Renzhi, Seung Ho Hong, and Mengmeng Yu. 2019. “Demand Response for Home Energy Management Using Reinforcement Learning and Artificial Neural Network.” IEEE Transactions on Smart Grid 10 (6): 6629–6639. https://doi.org/10.1109/TSG.2019.2909266.
  • Luo, Fengji, Gianluca Ranzi, Can Wan, Zhao Xu, and Zhao Yang Dong. 2018. “A Multistage Home Energy Management System with Residential Photovoltaic Penetration.” IEEE Transactions on Industrial Informatics 15 (1): 116–126. https://doi.org/10.1109/TII.2018.2871159.
  • Macedo, Evandro L. C., Egberto A. R. de Oliveira, Fabio H. Silva, Rui R. Mello, Felipe M. G. França, Flavia C. Delicato, José F. de Rezende, and Luís F. M. de Moraes. 2019. “On the Security Aspects of Internet of Things: A Systematic Literature Review.” Journal of Communications and Networks 21 (5): 444–457. https://doi.org/10.1109/JCN.2019.000048.
  • Machorro-Cano, Isaac, Giner Alor-Hernández, Mario Andrés Paredes-Valverde, Lisbeth Rodríguez-Mazahua, José Luis Sánchez-Cervantes, and José Oscar Olmedo-Aguirre. 2020. “HEMS-IoT: A Big Data and Machine Learning-based Smart Home System for Energy Saving.” Energies 13 (5): 1097. https://doi.org/10.3390/en13051097.
  • Mahmood, Anzar, M. N. Ullah, S. Razzaq, Abdul Basit, U. Mustafa, Muhammad Naeem, and Nadeem Javaid. 2014. “A New Scheme for Demand Side Management in Future Smart Grid Networks.” Procedia Computer Science 32: 477–484. https://doi.org/10.1016/j.procs.2014.05.450.
  • Malik, Anam, and Jayashri Ravishankar. 2016. “A Review of Demand Response Techniques in Smart Grids.” 2016 IEEE Electrical Power and Energy Conference (EPEC).
  • Matsui, Kanae. 2017. “An Information Provision System as a Function of HEMS to Promote Energy Conservation and Maintain Indoor Comfort.” Energy Procedia 105: 3213–3218. https://doi.org/10.1016/j.egypro.2017.03.705.
  • Mehmood, Kashif, and Ahmed Baksh. 2013. “Communication Technology that Suits IoT-a Critical Review.” Wireless Sensor Networks for Developing Countries.
  • Meng, Fan-Lin, and Xiao-Jun Zeng. 2015. “A Profit Maximization Approach to Demand Response Management with Customers Behavior Learning in Smart Grid.” IEEE Transactions on Smart Grid 7 (3): 1516–1529. https://doi.org/10.1109/TSG.2015.2462083.
  • Meyabadi, A. Fattahi, and Mohammad Hossein Deihimi. 2017. “A Review of Demand-Side Management: Reconsidering Theoretical Framework.” Renewable and Sustainable Energy Reviews 80: 367–379. https://doi.org/10.1016/j.rser.2017.05.207.
  • Mocanu, Elena, Phuong H. Nguyen, Madeleine Gibescu, and Wil L. Kling. 2016. “Deep Learning for Estimating Building Energy Consumption.” Sustainable Energy, Grids and Networks 6: 91–99. https://doi.org/10.1016/j.segan.2016.02.005.
  • Mortaji, Hamed, Siew Hock Ow, Mahmoud Moghavvemi, and Haider Abbas F Almurib. 2017. “Load Shedding and Smart-Direct Load Control Using Internet of Things in Smart Grid Demand Response Management.” IEEE Transactions on Industry Applications 53 (6): 5155–5163. https://doi.org/10.1109/TIA.2017.2740832.
  • Muratori, Matteo, Beth-Anne Schuelke-Leech, and Giorgio Rizzoni. 2014. “Role of Residential Demand Response in Modern Electricity Markets.” Renewable and Sustainable Energy Reviews 33: 546–553. https://doi.org/10.1016/j.rser.2014.02.027.
  • Nagpal, Himanshu, Andrea Staino, and Biswajit Basu. 2020. “Application of Predictive Control in Scheduling of Domestic Appliances.” Applied Sciences 10 (5): 1627. https://doi.org/10.3390/app10051627.
  • Ngondya, Daniel, and Joseph Mwangoka. 2017. “Demand–Supply Equilibrium in Deregulated Electricity Markets for Future Smartgrid.” Cogent Engineering 4 (1): 1392410. https://doi.org/10.1080/23311916.2017.1392410.
  • Nolan, Sheila, and Mark O’Malley. 2015. “Challenges and Barriers to Demand Response Deployment and Evaluation.” Applied Energy 152: 1–10. https://doi.org/10.1016/j.apenergy.2015.04.083.
  • Nur, Ahmet, and Asim Kaygusuz. 2016. “Load Control Techniques in Smart Grids.” 2016 4th International Istanbul Smart Grid Congress and Fair (ICSG).
  • Olorunfemi, Tope Roseline, and Nnamdi Nwulu. 2018. “A Review of Demand Response Techniques and Operational Limitations.” 2018 International Conference on Computational Techniques, Electronics and Mechanical Systems (CTEMS).
  • Ozturk, Yusuf, Datchanamoorthy Senthilkumar, Sunil Kumar, and Gordon Lee. 2013. “An Intelligent Home Energy Management System to Improve Demand Response.” IEEE Transactions on Smart Grid 4 (2): 694–701. https://doi.org/10.1109/TSG.2012.2235088.
  • Paracha, Zahir J., and Parviz Doulai. 1998. “Load Management: Techniques and Methods in Electric Power System.” Proceedings of EMPD'98. 1998 International Conference on Energy Management and Power Delivery (Cat. No. 98EX137).
  • Parrish, Bryony, Phil Heptonstall, Rob Gross, and Benjamin K. Sovacool. 2020. “A Systematic Review of Motivations, Enablers and Barriers for Consumer Engagement with Residential Demand Response.” Energy Policy 138: 111221. https://doi.org/10.1016/j.enpol.2019.111221.
  • Parsa, Ali, Tooraj Abbasian Najafabadi, and Farzad Rajaei Salmasi. 2018. “A Hierarchical Smart Home Control System for Improving Load Shedding and Energy Consumption: Design and Implementation.” IEEE Sensors Journal 19 (9): 3383–3390. https://doi.org/10.1109/JSEN.2018.2880867.
  • Pothireddy, Krishna Mohan Reddy, Sandeep Vuddanti, and Surender Reddy Salkuti. 2021. “Impact of Demand Response on Optimal Sizing of Distributed Generation and Customer Tariff.” Energies 15 (1): 190. https://doi.org/10.3390/en15010190.
  • Qdr, Q. J. U. D. E. 2006. “Benefits of Demand Response in Electricity Markets and Recommendations for Achieving Them.” Technical Report. Washington, DC: US Dept. Energy.
  • Radhakrishnan, G., and V. Gopalakrishnan. 2020. “Applications of Internet of Things (IOT) to Improve the Stability of a Grid Connected Power System Using Interline Power Flow Controller.” Microprocessors and Microsystems, 103038. https://doi.org/10.1016/j.micpro.2020.103038.
  • Rajagiri, Anil Kumar, A. Ajitha, and Anil Kumar Thalluri. 2021. “Development of an IoT Based Solution for SMART Distribution Systems.” 2021 International Conference on Sustainable Energy and Future Electric Transportation (SEFET).
  • Raju, M. Prathapa, and A. Jaya Laxmi. 2017. “A Novel Load Management Algorithm for EMU by Implementing Demand Side Management Techniques Using ANN.” 2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA).
  • Reka, S. Sofana, and V. Ramesh. 2016. “A Demand Response Modeling for Residential Consumers in Smart Grid Environment Using Game Theory Based Energy Scheduling Algorithm.” Ain Shams Engineering Journal 7 (2): 835–845. https://doi.org/10.1016/j.asej.2015.12.004.
  • Rezaee Jordehi, Ahmad. 2020. “Enhanced Leader Particle Swarm Optimisation (ELPSO): A New Algorithm for Optimal Scheduling of Home Appliances in Demand Response Programs.” Artificial Intelligence Review 53 (3): 2043–2073. https://doi.org/10.1007/s10462-019-09726-3.
  • Riaz, Muhammad Hussnain, Muhammad Zeeshan, Tariq Kamal, and S Aamir Hussain Shah. 2017. “Demand Side Management Using Different Energy Conservation Techniques.” 2017 International Multi-topic Conference (INMIC).
  • Sala-Lizarraga, Jose M., and Ana Picallo-Perez. 2019. Exergy Analysis and Thermoeconomics of Buildings: Design and Analysis for Sustainable Energy Systems. Butterworth-Heinemann.
  • Samad, Tariq, Edward Koch, and Petr Stluka. 2016. “Automated Demand Response for Smart Buildings and Microgrids: The State of the Practice and Research Challenges.” Proceedings of the IEEE 104 (4): 726–744. https://doi.org/10.1109/JPROC.2016.2520639.
  • Samadi, Pedram, Amir-Hamed Mohsenian-Rad, Robert Schober, Vincent WS Wong, and Juri Jatskevich. 2010. “Optimal Real-Time Pricing Algorithm Based on Utility Maximization for Smart Grid.” 2010 First IEEE International Conference on Smart Grid Communications.
  • Saxena, Ambuj, and Mala De. 2018. “Demand Response Management of Residential Loads with Integrated Temperature Dependent Appliances.” 2018 Fifth International Conference on Emerging Applications of Information Technology (EAIT).
  • Sedhom, Bishoy E., Magdi M. El-Saadawi, M. S. El Moursi, Mohamed A. Hassan, and Abdelfattah A. Eladl. 2021. “IoT-based Optimal Demand Side Management and Control Scheme for Smart Microgrid.” International Journal of Electrical Power & Energy Systems 127: 106674. https://doi.org/10.1016/j.ijepes.2020.106674.
  • Sethi, Pallavi, and Smruti R. Sarangi. 2017. “Internet of Things: Architectures, Protocols, and Applications.” Journal of Electrical and Computer Engineering 2017. https://doi.org/10.1155/2017/9324035.
  • Shakeri, Mohammad, Mohsen Shayestegan, S. M. Salim Reza, Iskandar Yahya, Badariah Bais, Md Akhtaruzzaman, Kamaruzzaman Sopian, and Nowshad Amin. 2018. “Implementation of a Novel Home Energy Management System (HEMS) Architecture with Solar Photovoltaic System as Supplementary Source.” Renewable Energy 125: 108–120. https://doi.org/10.1016/j.renene.2018.01.114.
  • Shakouri, Hamed, and Aliyeh Kazemi. 2017. “Multi-Objective Cost-Load Optimization for Demand Side Management of a Residential Area in Smart Grids.” Sustainable Cities and Society 32: 171–180. https://doi.org/10.1016/j.scs.2017.03.018.
  • Shan, Kui, Shengwei Wang, Chengchu Yan, and Fu Xiao. 2016. “Building Demand Response and Control Methods for Smart Grids: A Review.” Science and Technology for the Built Environment 22 (6): 692–704. https://doi.org/10.1080/23744731.2016.1192878.
  • Shareef, Hussain, Maytham S. Ahmed, Azah Mohamed, and Eslam Al Hassan. 2018. “Review on Home Energy Management System Considering Demand Responses, Smart Technologies, and Intelligent Controllers.” Ieee Access 6: 24498–24509. https://doi.org/10.1109/ACCESS.2018.2831917.
  • Shi, Wenbo, Na Li, Xiaorong Xie, Chi-Cheng Chu, and Rajit Gadh. 2014. “Optimal Residential Demand Response in Distribution Networks.” IEEE Journal on Selected Areas in Communications 32 (7): 1441–1450. https://doi.org/10.1109/JSAC.2014.2332131.
  • Shyamala, D., D. Swathi, J. Laxmi Prasanna, and A. Ajitha. 2017. “IoT Platform for Condition Monitoring of Industrial Motors.” 2017 2nd International Conference on Communication and Electronics Systems (ICCES).
  • Siano, Pierluigi. 2014. “Demand Response and Smart Grids—A Survey.” Renewable and Sustainable Energy Reviews 30: 461–478. https://doi.org/10.1016/j.rser.2013.10.022.
  • Sorrell, Steve. 2007. “Improving the Evidence Base for Energy Policy: The Role of Systematic Reviews.” Energy Policy 35 (3): 1858–1871. https://doi.org/10.1016/j.enpol.2006.06.008.
  • Speirs, J., R. Gross, and P. Heptonstall. 2015. “Developing a Rapid Evidence Assessment (REA) Methodology.” In A UKERC TPA Technical document. online.
  • Swalehe, Hussein, and Boonruang Marungsri. 2018. “Intelligent Algorithm for Optimal Load Management in Smart Home Appliance Scheduling in Distribution System.” 2018 International Electrical Engineering Congress (iEECON).
  • Tahir, Muhammad Faizan, Chen Haoyong, Idris Ibn Idris, Nauman Ali Larik, and Saif ullah Adnan. 2018. “Demand Response Programs Significance, Challenges and Worldwide Scope in Maintaining Power System Stability.” International Journal of Advanced Computer Science and Applications 9 (6), https://doi.org/10.14569/IJACSA.2018.090618.
  • Tao, Jinsong, Muhammad Umair, Muhammad Ali, and Jian Zhou. 2019. “The Impact of Internet of Things Supported by Emerging 5G in Power Systems: A Review.” CSEE Journal of Power and Energy Systems 6 (2): 344–352. https://doi.org/10.17775/CSEEJPES.2019.01850.
  • Vaccaro, Alfredo, and Ahmed F. Zobaa. 2013. “Voltage Regulation in Active Networks by Distributed and Cooperative Meta-heuristic Optimizers.” Electric Power Systems Research 99: 9–17. https://doi.org/10.1016/j.epsr.2013.01.013.
  • Vardakas, John S., Nizar Zorba, and Christos V. Verikoukis. 2014. “A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms.” IEEE Communications Surveys & Tutorials 17 (1): 152–178. https://doi.org/10.1109/COMST.2014.2341586.
  • Vivekananthan, Cynthujah, Yateendra Mishra, Gerard Ledwich, and Fangxing Li. 2014. “Demand Response for Residential Appliances via Customer Reward Scheme.” IEEE Transactions on Smart Grid 5 (2): 809–820. https://doi.org/10.1109/TSG.2014.2298514.
  • Wang, Shuoyao, Suzhi Bi, and Ying-Jun Angela Zhang. 2018. “Demand Response Management for Profit Maximizing Energy Loads in Real-time Electricity Market.” IEEE Transactions on Power Systems 33 (6): 6387–6396. https://doi.org/10.1109/TPWRS.2018.2827401.
  • Wang, Po, Min Lei, Bo Xu, and Yifei Hua. 2019. “A Review of Demand Response in Electricity Markets.” Proceedings of the 2nd International Conference on Information Technologies and Electrical Engineering.
  • Wang, Yu, Haiyang Lin, Yiling Liu, Qie Sun, and Ronald Wennersten. 2018. “Management of Household Electricity Consumption Under Price-Based Demand Response Scheme.” Journal of Cleaner Production 204: 926–938. https://doi.org/10.1016/j.jclepro.2018.09.019.
  • Web of Science. 2022.
  • Weckmann, Sebastian, Timm Kuhlmann, and Alexander Sauer. 2017. “Decentral Energy Control in a Flexible Production to Balance Energy Supply and Demand.” Procedia CIRP 61: 428–433. https://doi.org/10.1016/j.procir.2016.11.212.
  • Yang, Hongming, Jun Zhang, Jing Qiu, Sanhua Zhang, Mingyong Lai, and Zhao Yang Dong. 2016. “A Practical Pricing Approach to Smart Grid Demand Response Based on Load Classification.” IEEE Transactions on Smart Grid 9 (1): 179–190. https://doi.org/10.1109/TSG.2016.2547883.
  • Younan, C. N., R. A. Swief, and A. Y. Abdelaziz. 2014. “A Combined Technique for Price Prediction and Critical Peak Decision”.
  • Yuce, Baris, Yacine Rezgui, and Monjur Mourshed. 2016. “ANN–GA Smart Appliance Scheduling for Optimised Energy Management in the Domestic Sector.” Energy and Buildings 111: 311–325. https://doi.org/10.1016/j.enbuild.2015.11.017.
  • Zhai, Shaopeng, Zhihua Wang, Xufeng Yan, and Guangyu He. 2018. “Appliance Flexibility Analysis Considering User Behavior in Home Energy Management System Using Smart Plugs.” IEEE Transactions on Industrial Electronics 66 (2): 1391–1401. https://doi.org/10.1109/TIE.2018.2815949.
  • Zhang, Qin, and Juan Li. 2012. “Demand Response in Electricity Markets: A Review.” 2012 9th International Conference on the European Energy Market.
  • Zhang, Kai, Jihua Yu, and Yan Ren. 2022. “Demand Side Management of Energy Consumption in a Photovoltaic Integrated Greenhouse.” International Journal of Electrical Power & Energy Systems 134: 107433. https://doi.org/10.1016/j.ijepes.2021.107433.
  • Zhong, Haiwang, Le Xie, and Qing Xia. 2012. “Coupon Incentive-Based Demand Response: Theory and Case Study.” IEEE Transactions on Power Systems 28 (2): 1266–1276. https://doi.org/10.1109/TPWRS.2012.2218665.

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