Smart home energy management system including renewable energy based on ZigBee and PLC
Abstract
As home energy use is increasing and renewable energy systems are deployed, home energy management system (HEMS) needs to consider both energy consumption and generation simultaneously to minimize the energy cost. This paper proposes a smart HEMS architecture that considers both energy consumption and generation simultaneously. ZigBee-based energy measurement modules are used to monitor the energy consumption of home appliances and lights. A PLC-based renewable energy gateway is used to monitor the energy generation of renewable energies. The home server gathers the energy consumption and generation data, analyzes them for energy estimation, and controls the home energy use schedule to minimize the energy cost. The remote energy management server aggregates the energy data from numerous home servers, compares them, and creates useful statistical analysis information. By considering both energy consumption and generation, the proposed HEMS architecture is expected to optimize home energy use and result in home energy cost saving.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Intrusion into a PLC network can lead to direct manipulation of pumps, valves, or pressure systems without triggering alarms due to the absence of process-aware security mechanisms.
“Empirical findings from cyber-physical experiments demonstrate that intrusion into a PLC network can lead to direct manipulation of pumps, valves, or pressure systems without triggering alarms due to the absence of process-aware security mechanisms (Han et al., 2014;Zayadul, 2023).”
From ADAPTING PLC/SCADA SYSTEMS TO MITIGATE INDUSTRIAL IOT CYBERSECURITY RISKS IN GLOBAL MANUFACTURING (2024) · cites this paper as Han et al., 2014
Cited by
Sorted by citations
Silva, B. N., Khan, M., & Han, K.-J. (2018) · Sustainable Cities and Society · doi:10.1016/j.scs.2018.01.053 · Cited by 903 · see citing works
A smart home energy management system using IoT and big data analytics approach
Al-Ali, A. R., Zualkernan, I. A., Rashid, M., Gupta, R., & Alikarar, M. (2017) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2017.015014 · Cited by 670 · see citing works
“in [6] introduced a system for monitoring power consumption using ZigBee as the communication protocol in a WSN.”
MethodA systematic review of the smart home literature: A user perspective
Marikyan, D., Papagiannidis, S., & Alamanos, E. (2019) · Technological forecasting & social change · doi:10.1016/j.techfore.2018.08.015 · Cited by 633 · see citing works
“3 an interest in energy management systems [16, 19-24], also focusing on algorithms and devices that have been in use to monitor and manage energy consumption.”
BackgroundInternet of Things (IoT) and the Energy Sector
Motlagh, N. H., Mohammadrezaei, M., Hunt, J. D., & Zakeri, B. (2020) · Energies · doi:10.3390/en13020494 · Cited by 837 · see citing works
“The work in [72] presents a ZigBee-based monitoring system which is used to measure and transfer the energy of home appliances at the outlets and the lights, aiming at reducing the energy consumption.”
MethodShareef, H., Ahmed, M. S., Mohamed, A., & Hassan, E. A. (2018) · IEEE Access · doi:10.1109/access.2018.2831917 · Cited by 385 · see citing works
“A ZigBee wireless sensor based on HEMS that monitors the energy consumption of residential loads and lights was also designed [73].”
A survey: Internet of Things (IOT) technologies, applications and challenges
Shah, S. H., & Yaqoob, I. (2016) · 2016 IEEE Smart Energy Grid Engineering (SEGE) · doi:10.1109/sege.2016.7589556 · Cited by 309 · see citing works
Haque, A. K. M. B., Bhushan, B., & Dhiman, G. (2022) · Expert Systems · doi:10.1111/exsy.12753 · Cited by 271 · see citing works
“Nonrenewable energy sources need to be used efficiently at present so that it can be preserved for the future (Han et al., 2014).”
BackgroundA multi-agent based energy management solution for integrated buildings and microgrid system
Anvari-Moghaddam, A., Rahimi-Kian, A., Mirian, M., & Guerrero, J. (2017) · Applied Energy · doi:10.1016/j.apenergy.2017.06.007 · Cited by 267 · see citing works
“Moreover, the proposed DR and DG management strategies in [14–17] were not optimized together, although these aspects are interdependent and the execution of one can greatly affect the other.”
BackgroundMethodA Review of Internet of Energy Based Building Energy Management Systems: Issues and Recommendations
Hannan, M. A., Faisal, M., Ker, P., Mun, L., Parvin, K., Mahlia, T., & Blaabjerg, F. (2018) · IEEE Access · doi:10.1109/access.2018.2852811 · Cited by 261 · see citing works
“In [55] and [56], the authors proposed”
Gram‐Hanssen, K., & Darby, S. J. (2017) · Energy Research & Social Science · doi:10.1016/j.erss.2017.09.037 · Cited by 284 · see citing works
Developing residential wireless sensor networks for ECG healthcare monitoring
Dey, N., Ashour, A., Shi, F.-Q., Fong, S., & Sherratt, R. (2017) · IEEE transactions on consumer electronics · doi:10.1109/tce.2017.015063 · Cited by 229 · see citing works
“control [39-41], home control [42] and environmental”
Faults in smart grid systems: Monitoring, detection and classification
Rivas, A. E. L., & Abrão, T. (2020) · Electric Power Systems Research · doi:10.1016/j.epsr.2020.106602 · Cited by 224 · see citing works
Solar Photovoltaic and Thermal Energy Systems: Current Technology and Future Trends
Malinowski, M., Leon, J. I., & Abu-Rub, H. (2017) · Proceedings of the IEEE · doi:10.1109/jproc.2017.2690343 · Cited by 213 · see citing works
Tao, M., Zuo, J., Liu, Z., Castiglione, A., & Palmieri, F. (2018) · Future generations computer systems · doi:10.1016/j.future.2016.11.011 · Cited by 210 · see citing works
“[21] propose a smart home energy management system (HEMS) architecture.”
BackgroundHome Energy Management System Concepts, Configurations, and Technologies for the Smart Grid
Zafar, U., Bayhan, S., & Sanfilippo, A. (2020) · IEEE Access · doi:10.1109/access.2020.3005244 · Cited by 201 · see citing works
“The use of PLC has also been proposed for indoor power networks [6], and as the communication backbone in energy management systems [7], [8].”
BackgroundSaleem, M., Shakir, M., Usman, M., Bajwa, M., Shabbir, N., Shams Ghahfarokhi, P., & Daniel, K. (2023) · Energies · doi:10.3390/en16124835 · Cited by 197 · see citing works
“in [33] discussed the mechanism in which the ZigBee protocol for WSN is used, which is vital for communication and tracking purposes.”
BackgroundSensing, Controlling, and IoT Infrastructure in Smart Building: A Review
Verma, A., Prakash, S., Srivastava, V., Kumar, A., & Mukhopadhyay, S. (2019) · IEEE Sensors Journal · doi:10.1109/jsen.2019.2922409 · Cited by 195 · see citing works
Application of load monitoring in appliances’ energy management – A review
Abubakar, I., Khalid, S. A., Mustafa, M., Shareef, H., & Mustapha, M. (2017) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.09.064 · Cited by 191 · see citing works
Internet of Things Based Energy Aware Smart Home Control System
Khan, M., Silva, B. N., & Han, K. (2016) · IEEE Access · doi:10.1109/access.2016.2621752 · Cited by 184
“In [12], the authors developed an Energy Communication Unit (ECU) to record the energy usage of the household appliances and perform necessary actions such as supplying and blocking the electrical energy to a household appliance.”
BackgroundTowards Smart Home Automation Using IoT-Enabled Edge-Computing Paradigm
Yar, H., Imran, A. S., Khan, Z. A., Sajjad, M., & Kastrati, Z. (2021) · Sensors · doi:10.3390/s21144932 · Cited by 224 · see citing works
“, in [41], presented a ZigBee-based energy management technique that measures the usage of energy by home appliances (electrical, electronic devices).”
BackgroundRahman, M. M., Shakeri, M., Tiong, S., Khatun, F., Amin, N., Pasupuleti, J., & Hasan, M. K. (2021) · Sustainability · doi:10.3390/su13042393 · Cited by 162 · see citing works
“have been gained a lot of attention as alternative sources of energy development [8,9].”
BackgroundEnhancing Sustainability and Energy Efficiency in Smart Factories: A Review
Meng, Y., Yang, Y., Chung, H., Lee, P.-H., & Shao, C. (2018) · Sustainability · doi:10.3390/su10124779 · Cited by 190 · see citing works
“developed a home energy management system using IoT technique, considering both energy consumption and renewable energy generation [147].”
MethodPuri, V., Jha, S., Kumar, R., Priyadarshini, I., Hoang Son, L., Abdel-Basset, M., Elhoseny, M., & Viet Long, H. (2019) · IEEE Access · doi:10.1109/access.2019.2934228 · Cited by 154 · see citing works
“The generation of electricity from renewable energy sources like solar andwind is costly [9].”
BackgroundAliero, M. S., Qureshi, K., Pasha, M., & Jeon, G. (2021) · Environmental Technology & Innovation · doi:10.1016/j.eti.2021.101443 · Cited by 148 · see citing works
A Novel Smart Energy Theft System (SETS) for IoT-Based Smart Home
Li, W., Logenthiran, T., Phan, V.-T., & Woo, W. L. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2903281 · Cited by 197 · see citing works
Ansari, S., Ayob, A., Lipu, M. S., Saad, M. H., & Hussain, A. (2021) · Sustainability · doi:10.3390/su13158120 · Cited by 140 · see citing works
“The advancements in solar PV monitoring systems in relation to BeagleBone [32], Arduino [33,34] Raspberry Pi [35,36], PLC [37], and microcontroller chips such as ATMEGA8 and ATMEGA16 [38] have been explained along with their limitations.”
MethodYanambaka, V. P., Mohanty, S. P., Kougianos, E., & Puthal, D. (2019) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2019.2926192 · Cited by 160 · see citing works
An overview of home automation systems
Asadullah, M., & Raza, A. (2016) · International Conference on Robotics and Artificial Intelligence · doi:10.1109/icrai.2016.7791223 · Cited by 130
“Several home automation systems use smartphones to communicate with microcontrollers using various wireless communication techniques such as Bluetooth [7], GSM [8], ZigBee [9], Wi-Fi [10] and EnOcean [11].”
BackgroundAn integrated cloud-based smart home management system with community hierarchy
Lee, Y.-T., Hsiao, W.-H., Huang, C.-M., & Chou, S. (2016) · IEEE transactions on consumer electronics · doi:10.1109/tce.2016.7448556 · Cited by 128 · see citing works
A Decade Review on Smart Cities: Paradigms, Challenges and Opportunities
Singh, T., Solanki, A., Sharma, S. K., Nayyar, A., & Paul, A. (2022) · IEEE Access · doi:10.1109/access.2022.3184710 · Cited by 125 · see citing works
“Other innovations can also increase efficiency [55]–[57].”
BackgroundDevlin, M. A., & Hayes, B. P. (2019) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2019.2918922 · Cited by 155 · see citing works
“on ZigBee-enabled energy measurement modules, which monitor the energy consumption of home appliances and lights is presented in [26].”
BackgroundAslam, S., Iqbal, Z., Javaid, N., Khan, Z., Aurangzeb, K., & Haider, S. I. (2017) · Energies · doi:10.3390/en10122065 · Cited by 121 · see citing works
“In [25], the authors proposed a smart home energy management architecture for the reduction of electricity consumption cost and PAR.”
BackgroundLoBEMS—IoT for Building and Energy Management Systems
Mataloto, B. M., Ferreira, J. C., & Cruz, N. (2019) · Electronics · doi:10.3390/electronics8070763 · Cited by 136 · see citing works
“LoBEMS School Yes Yes No No T/H/L/M Yes LoRa Local OS Yes Yes Yes Yes No OpenSource [10] Home No Yes No No No No ZigBee Clioud Yes Yes No Yes No NA [12] Home No Yes No No T No ZigBee Local OS No Yes Yes No No NA [13] Home Yes Yes No No T/H/L/M Yes ZigBee Cloud No Yes Yes No Yes Comercial [14] Factory No Yes No No No N…”
Deep Learning in Energy Modeling: Application in Smart Buildings With Distributed Energy Generation
Nabavi, S. A., Motlagh, N. H., Zaidan, M., Aslani, A., & Zakeri, B. (2021) · IEEE Access · doi:10.1109/access.2021.3110960 · Cited by 119
“For example, while the IoT-based approach is used to collect the real-time data of energy consumption [70]; the data can then be analyzed to optimize the energy scheduling and to control the home energy consumption patterns in order to decrease the energy cost [11].”
BackgroundMethodIqbal, J., Khan, M., Talha, M., Farman, H., Jan, B., Muhammad, A., & Khattak, H. A. (2018) · Sustainable cities and society · doi:10.1016/j.scs.2018.09.020 · Cited by 118 · see citing works
Implemented IoT-Based Self-Learning Home Management System (SHMS) for Singapore
Li, W.-X., Logenthiran, T., Phan, V., & Woo, W.-L. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2828144 · Cited by 115 · see citing works
“In order to monitor and control these advanced metering infrastructure, HEMS became an essential integration to the system infrastructure [21], [22].”
BackgroundGolmohamadi, H., Keypour, R., Bak-Jensen, B., & Pillai, J. R. (2019) · Sustainable cities and society · doi:10.1016/j.scs.2019.101468 · Cited by 107
“Non-TCA Curtailable Load curtailment without shifting excess consumption to later times Lighting System [18]”
BackgroundLiu, Q., Kamoto, K. M., Liu, X.-D., Sun, M., & Linge, N. (2019) · IEEE transactions on consumer electronics · doi:10.1109/tce.2019.2891160 · Cited by 107 · see citing works
“Modern approaches to energy management utilize smart home technologies to enable energy efficiency and conservation [1]–[3].”
BackgroundCollotta, M., & Pau, G. (2017) · IEEE Transactions on Green Communications and Networking · doi:10.1109/tgcn.2017.2671407 · Cited by 118 · see citing works
“Moreover, they can compare energy efficiency of different appliances and control various of them, like air conditioning and ventilation systems, smart appliances, smart plugs, etc.”
BackgroundRole of internet of things in the smart grid technology
Al-Ali, A., & Aburukba, R. (2015) · doi:10.4236/jcc.2015.35029 · Cited by 107
“In other words, the power flow and communications will be in two-ways [1]-[3].”
BackgroundNutakki, M., & Mandava, S. (2023) · Engineering applications of artificial intelligence · doi:10.1016/j.engappai.2022.105721 · Cited by 104 · see citing works
Design and Implementation of Smart Buildings: A Review of Current Research Trend
Kim, D., Yoon, Y., Lee, J., Mago, P. J., Lee, K., & Cho, H. (2022) · Energies · doi:10.3390/en15124278 · Cited by 117 · see citing works
“Han et al. [76] proposed a SHEMS framework by considering both energy supply and demand sides at the same time.”
BackgroundSmart home energy management systems: Research challenges and survey
Raza, A., Li, J., Ghadi, Y. Y., Adnan, M., & Ali, M. (2024) · Alexandria Engineering Journal · doi:10.1016/j.aej.2024.02.033 · Cited by 109 · see citing works
Bissoli, A., Lavino-Junior, D., Sime, M., Encarnação, L., & Bastos-Filho, T. (2019) · Italian National Conference on Sensors · doi:10.3390/s19040859 · Cited by 96 · see citing works
Health Monitoring Using Smart Home Technologies: Scoping Review
Morita, P. P., Sahu, K. S., & Oetomo, A. (2023) · JMIR mhealth and uhealth · doi:10.2196/37347 · Cited by 106 · see citing works
“Data can be leveraged for a variety of purposes, including energy saving [5], security and safety [6], fall detection [7], light management [8], and fire detection [7].”
BackgroundAli, S., Rehman, A. U., Wadud, Z., Khan, I., Murawwat, S., Hafeez, G., Albogamy, F. R., Khan, S., & Omaji, S. (2022) · IEEE Access · doi:10.1109/access.2022.3174586 · Cited by 90
“A smart HEMS architecture is developed in [57] that considers both energy consumption and local generation simultaneously.”
BackgroundModeling for home electric energy management: A review
Vega, A., Santamaria, F., & Rivas, E. (2015) · doi:10.1016/j.rser.2015.07.023 · Cited by 89
A Solution Based on Bluetooth Low Energy for Smart Home Energy Management
Collotta, M., & Pau, G. (2015) · Energies · doi:10.3390/en81011916 · Cited by 89 · see citing works
“Another home energy management system is introduced in [16] and considers also the energy generation.”
BackgroundSilva, B. N., Khan, M., & Han, K. (2020) · Sustainability · doi:10.3390/su12145561 · Cited by 101 · see citing works
“[32] Smart home Home energy management with renewable energy generation Optimize home energy consumption Reduce energy cost, Monitor solar panels using PLC for maximum generation capacity, Renewable energy forecasting Cost analysis was not quantitative, Energy optimization is not tested in a real world scenario”
BackgroundSmart Home System: A Comprehensive Review
Chakraborty, A., Islam, M., Shahriyar, F., Islam, S., Zaman, H. U., & Hasan, M. (2023) · Journal of Electrical and Computer Engineering · doi:10.1155/2023/7616683 · Cited by 112 · see citing works
“Fuzzy logic does not have any absolute truth or absolute false value [50].”
BackgroundSmart lighting systems: state-of-the-art and potential applications in warehouse order picking
Füchtenhans, M., Grosse, E., & Glock, C. H. (2021) · International Journal of Production Research · doi:10.1080/00207543.2021.1897177 · Cited by 84 · see citing works
Systematic Review Analysis on Smart Building: Challenges and Opportunities
Aliero, M. S., Asif, M., Ghani, I., Pasha, M., & Jeong, S. (2022) · Sustainability · doi:10.3390/su14053009 · Cited by 78 · see citing works
Cooperative energy management for a cluster of households prosumers
Luna, A., Díaz, N., Graells, M., Vasquez, J., & Guerrero, J. (2016) · IEEE transactions on consumer electronics · doi:10.1109/tce.2016.7613189 · Cited by 76
“This is a generalized phenomenon in home areas that implies increments in global energy consumption [1].”
BackgroundDevelopment of an IoT-Driven Building Environment for Prediction of Electric Energy Consumption
Bedi, G., Venayagamoorthy, G., & Singh, R. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.2975847 · Cited by 72
Energy and Information Management of Electric Vehicular Network: A Survey
Chen, N., Wang, M., Zhang, N., & Shen, X. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.2982118 · Cited by 85 · see citing works
“…appliance scheduling PLC, ZigBee [110], [217] RES integration Home integrated High-security, reliable RES energy condition PLC, ZigBee, WiFi [110], [219] Large farm Mobile, extreme low-latency Regional energy status Cellular, aerial [220] Regulation service Contract Low-latency, high-security…”
BackgroundEnergy Management Systems and Strategies in Buildings Sector: A Scoping Review
Al-Ghaili, A., Kasim, H., Al-Hada, N., Jørgensen, B. N., Othman, M., & Wang, J.-H. (2021) · IEEE Access · doi:10.1109/access.2021.3075485 · Cited by 71 · see citing works
“Additionally, optimization-oriented EMS-in-Bs is also considerable for smart buildings specifically [140], [141].”
BackgroundAnees, A., & Chen, Y.-P. P. (2016) · Applied Energy · doi:10.1016/j.apenergy.2015.12.103 · Cited by 70 · see citing works
Peak load reduction with a solar PV-based smart microgrid and vehicle-to-building (V2B) concept
Ouammi, A. (2021) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2021.101027 · Cited by 69 · see citing works
Hardware-Assisted Detection of Firmware Attacks in Inverter-Based Cyberphysical Microgrids
Kuruvila, A. P., Zografopoulos, I., Basu, K., & Konstantinou, C. (2020) · arXiv.org · doi:10.1016/j.ijepes.2021.107150 · Cited by 69 · see citing works
“users to analyze energy consumption and generation patterns to optimally control home energy expenditure and minimize operational cost [5].”
BackgroundOptimal household appliance scheduling considering consumer's electricity bill target
Joo, I.-Y., & Choi, D.-H. (2017) · IEEE transactions on consumer electronics · doi:10.1109/tce.2017.014666 · Cited by 69 · see citing works
Privacy-preserving data analytics in cloud-based smart home with community hierarchy
Lee, Y.-T., Hsiao, W.-H., Lin, Y.-S., & Chou, S. T. (2017) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2017.014777 · Cited by 75 · see citing works
Arabul, F. K., Arabul, A., Kumru, C. F., & Boynueğri, A. R. (2017) · doi:10.1016/j.ijhydene.2017.02.204 · Cited by 62
IoT-Based Interactive Dual Mode Smart Home Automation
Hamdan, O., Shanableh, H., Zaki, I., Al-Ali, A.-R., & Shanableh, T. (2019) · IEEE International Conference on Consumer Electronics · doi:10.1109/icce.2019.8661935 · Cited by 59
“[4] Jinsoo Han, Chang-Sic Choi, Wan-Ki Park, Ilwoo Lee, and Sang-Ha Kim, “Smart Home Energy Management System Including Renewable Energy Based on ZigBee and PLC”, IEEE Trans.”
BackgroundEbrahim, M., Mohamed, S., Saied, E. M., Elsisi, M., Su, C.-L., & Hadi, H. A. (2022) · IEEE Access · doi:10.1109/access.2022.3203692 · Cited by 55
“Sanjeev, Jinsoo Han, D. Westermann presented a study to develop an algorithm to control energy sources through the use of hybrid storage devices (batteries, capacitors) [12], [13], [14].”
BackgroundNguyen, H., Le, P. Q., Pham, V., Nguyen, X., Balasubramaniam, D., & Hoang, A. (2021) · Energy Sources, Part A: Recovery, Utilization, and Environmental Effects · doi:10.1080/15567036.2021.1954110 · Cited by 53 · see citing works
“The growth of the Internet of Things (IoT) has revolutionized energy management systems for proper energy use.”
InfluentialNatarajan, A., Krishnasamy, V., & Singh, M. (2022) · Renewable & Sustainable Energy Reviews · doi:10.1016/j.rser.2022.112731 · Cited by 52 · see citing works
Machine Learning for Smart Energy Monitoring of Home Appliances Using IoT
Rashid, R., Chin, L., Sarijari, M. A., Sudirman, R., & Ide, T. (2019) · International Conference on Ubiquitous and Future Networks · doi:10.1109/icufn.2019.8806026 · Cited by 52 · see citing works
“On the other hand, the proposed system by [9] considers both energy consumption and generation based on ZigBee and PLC-based renewable energy gateway (REG).”
MethodResilient Distributed Real-Time Demand Response via Population Games
Srikantha, P., & Kundur, D. (2017) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2016.2526651 · Cited by 50
“Smart appliances and controllable thermostats can be directly actuated via signals transmitted from the EPU [4].”
BackgroundCritical review Of SCADA And PLC in smart buildings and energy sector
Gnana Swathika, O. V., Karthikeyan, A., Karthikeyan, K., Sanjeevikumar, P., Thomas, S. K., & Babu, A. (2024) · Energy Reports · doi:10.1016/j.egyr.2024.07.041 · Cited by 48 · see citing works
Shakeri, M., Pasupuleti, J., Amin, N., Rokonuzzaman, M., Low, F. W., Yaw, C. T., Asim, N., Samsudin, N. A., Tiong, S., Chong, K.-H., et al. (2020) · Energies · doi:10.3390/en13133299 · Cited by 47 · see citing works
Energy management and demand response with intelligent learning for multi-thermal-zone buildings
Gao, Y., Li, S.-H., Fu, X.-G., Dong, W., Lu, B., & Li, Z.-W. (2020) · Energy · doi:10.1016/j.energy.2020.118411 · Cited by 46 · see citing works
Beheshtikhoo, A., Pourgholi, M., & Khazaee, I. (2023) · Social Science Research Network · doi:10.2139/ssrn.4103336 · Cited by 43
Ghosh, S., & Chatterjee, D. (2021) · IEEE transactions on consumer electronics · doi:10.1109/tce.2021.3051164 · Cited by 43
“In [23] smart home energy management system with renewable sources integration was done using Zigbee network and power line communication.”
MethodHybridized Intelligent Home Renewable Energy Management System for Smart Grids
Ma, Y.-H., & Li, B. (2020) · Sustainability · doi:10.3390/su12052117 · Cited by 43 · see citing works
“The paper describes a standard model for a smart grid domestic energy distribution system that provides digital home-based energy control service consultancy [3].”
BackgroundHan, J., Jeong, J.-D., Lee, I.-W., & Kim, S.-H. (2017) · IEEE transactions on consumer electronics · doi:10.1109/tce.2017.015074 · Cited by 43
“presented a user-friendly panel-level monitoring system based on low-cost power line communication (PLC) [6], [7].”
BackgroundSelf-citationSecurity in fog computing: A systematic review on issues, challenges and solutions
Rezapour, R., Asghari, P., Javadi, H., & Ghanbari, S. (2021) · Computer Science Review · doi:10.1016/j.cosrev.2021.100421 · Cited by 41 · see citing works
“[7,8].”
Diyan, M., Silva, B. N., & Han, K. (2020) · Italian National Conference on Sensors · doi:10.3390/s20123450 · Cited by 41 · see citing works
“Much work on the potential of HEMS was carried out in [32,33], in context of the smart grid, an optimization-based method for effective demand side management was presented.”
BackgroundShi, G., Liu, D., & Wei, Q. (2017) · IET Control Theory and Applications · doi:10.1049/iet-cta.2016.0653 · Cited by 41 · see citing works
Energy management of smart homes over fog-based IoT architecture
Umair, M., Cheema, M. A., Afzal, B., & Shah, G. A. (2023) · Sustainable Computing: Informatics and Systems · doi:10.1016/j.suscom.2023.100898 · Cited by 40
‘Smart’ Is Not Free: Energy Consumption of Consumer Home Automation Systems
Gray, C., Ayre, R., Hinton, K., & Campbell, L. (2020) · IEEE transactions on consumer electronics · doi:10.1109/tce.2019.2962605 · Cited by 40
“[3]”
Saxena, S., Farag, H., Brookson, A., Turesson, H., & Kim, H. M. (2021) · IEEE Access · doi:10.1109/access.2020.3047885 · Cited by 39 · see citing works
“In order to satisfy the aforementioned requirements, home energy management systems (HEMS) are typically proposed, where homeowners specify energy preferences related to the operation of their DERs, and the HEMS generates a dispatch schedule for the DERs as a result [4].”
BackgroundMedium Access Control Protocols for Power Line Communication: A Survey
de Oliveira, R. M., Vieira, A., Latchman, H., & Ribeiro, M. V. (2019) · IEEE Communications Surveys and Tutorials · doi:10.1109/comst.2018.2865835 · Cited by 39
“Regarding the smart home application, we emphasize that the development of MAC protocols considering energy consumption and management issues is an appealing approach, since the number of electronic devices in an in-home scenario tends to increase [169].”
BackgroundCost-Effective Design of IoT-Based Smart Household Distribution System
Ahmed, M., Qays, M. O., Abu-Siada, A., Muyeen, S., & Hossain, M. L. (2021) · Designs · doi:10.3390/designs5030055 · Cited by 38
Javaid, S., Kurose, Y., Kato, T., & Matsuyama, T. (2017) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2015.2509002 · Cited by 36
“With the advent of distributed power sources, a large number of new technologies of managing multiple power sources have been developed [12]–[16].”
BackgroundChen, H., Wang, S.-X., Wang, S.-M., & Li, Y. (2019) · Electric Power Systems Research · doi:10.1016/j.epsr.2019.105987 · Cited by 35 · see citing works
Mao, C., & Chang, D. (2023) · Advanced Engineering Informatics · doi:10.1016/j.aei.2023.102087 · Cited by 41 · see citing works
Application of DR and co‐simulation approach for renewable integrated HEMS: a review
Rajendhar, P., & Jeyaraj, B. E. (2019) · IET Generation, Transmission & Distribution · doi:10.1049/iet-gtd.2018.5791 · Cited by 32 · see citing works
“The research presented in [30, 31] observed both generation and consumption at the same time.”
BackgroundA dynamic coordination of microgrids
Mbungu, N., Siti, M. M., Bansal, R., Naidoo, R., Elnady, A., Ismail, A. A. A., Abokhali, A. G., & Hamid, A. (2025) · Applied Energy · doi:10.1016/j.apenergy.2024.124486 · Cited by 31
Coordinated smart home energy sharing with a centralized neighbourhood energy management
Lokeshgupta, B., & Ravivarma, K. (2023) · Sustainable Cities and Society · doi:10.1016/j.scs.2023.104642 · Cited by 33 · see citing works
Zhang, Z.-S., Wang, J.-D., Zhong, H., & Ma, H.-J. (2019) · Science and Technology for the Built Environment · doi:10.1080/23744731.2019.1690922 · Cited by 31
“Literature (Jinsoo Han et al. 2014) proposes a smart HEMS architecture that considers both energy consumption and generation simultaneously.”
BackgroundWireless Sensor Networks for Smart Homes: A Fuzzy-Based Solution for an Energy-Effective Duty Cycle
Pau, G., & Salerno, V. M. (2019) · Electronics · doi:10.3390/electronics8020131 · Cited by 31
“For this reason, the power management is a crucial factor, and despite the vastness of smart homes literature [19–25], it is still challenging to state that the batteries life issue has been solved.”
BackgroundOptimization of day-ahead and real-time prices for smart home community
Anees, A., Dillon, T., Wallis, S., & Chen, Y.-P. P. (2021) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2020.106403 · Cited by 31 · see citing works
Prosumer Nanogrids: A Cybersecurity Assessment
Dafalla, Y., Liu, B., Hahn, D. A., Wu, H.-Y., Ahmadi, R., & Bardas, A. G. (2020) · IEEE Access · doi:10.1109/access.2020.3009611 · Cited by 31
“For example, the CPS gateway is equivalent to the Renewable Energy Gate-way (REG) that is part of the HEMS architecture described by Han et al. [15].”
MethodBoussetta, M., Motahhir, S., Bachtiri, R. E., Allouhi, A., Khanfara, M., & Chaibi, Y. (2019) · International Journal of Photoenergy · doi:10.1155/2019/8974370 · Cited by 30
“ZigBee-based energy measurement modules are used to monitor the energy consumption of home appliances and lights [45].”
MethodDemand side management through home area network systems
Bazydło, G., & Wermiński, S. (2018) · doi:10.1016/j.ijepes.2017.10.026 · Cited by 30
Singh, S., Sharma, P., & Park, J. H. (2017) · doi:10.3390/su9040513 · Cited by 30
“As shown in Figure 1, the Energy System Interface (ESI) and Energy Management System (EMS) represent the inside environment of the smart home [21,22].”
BackgroundPeak Loads Shaving in a Team of Cooperating Smart Buildings Powered Solar PV-Based Microgrids
Ouammi, A. (2021) · IEEE Access · doi:10.1109/access.2021.3057458 · Cited by 30 · see citing works
“A smart home energy management system design accounting both loads and energy production is proposed in [4].”
A novel dynamic load-priority-based scheduling strategy for home energy management system
Yang, J., Sun, Q.-Q., Yao, L., Liu, Y.-F., Yang, T.-S., Chu, C., Fang, L., & Zhu, L.-P. (2023) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2023.135978 · Cited by 29
Edge Computing and Microservices Middleware for Home Energy Management Systems
Ferreira, L. C. B. C., Borchardt, A. D. R., Cardoso, G. D. S., Mendes Lemes, D. A., Sousa, G. R. D. R. D., Neto, F. B., de Lima, E. R., Fraidenraich, G., Cardieri, P., & Meloni, L. G. P. (2022) · IEEE Access · doi:10.1109/access.2022.3214229 · Cited by 28 · see citing works
“Several HEMS architectures have been proposed in the literature, such as those presented in [9], [10], [11], [12], [13], and [14].”
Bui, K.-H. N., Jung, J. J., & Camacho, D. (2018) · Italian National Conference on Sensors · doi:10.3390/s18072206 · Cited by 28
“Moreover, with the rapid development of sustainable energy technologies and the increasing demand for low-emission generations, the utilization of renewable energy devices such as solar, wind, biomass, and geothermal energy becomes a promising solution for improving the demand response energy consumption of smart HEMS…”
Background
- Authors
- Han, J., Choi, C.-S., Park, W.-K., Lee, I., & Kim, S.-H.
- Affiliations
- Electronics and Telecommunications Research Institute (KR)
- Chungnam National University (KR)
- Venue
- IEEE Transactions on Consumer Electronics
- Published
- 2014-05
- Volume
- 60
- Issue
- 2
- Pages
- 198-202
- ISSN
- 0098-3063 (ISSN-L)
- OpenAlex
- W2120743933
- Cited by
- 449
- References
- 14
- Citations by year
- 2026: 8 · 2025: 15 · 2024: 41 · 2023: 32 · 2022: 37 · 2021: 51 · 2020: 46 · 2019: 45 · 2018: 45 · 2017: 50 · 2016: 49 · 2015: 29 · 2014: 1
- FWCI
- 22.85
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Consumer Electronics (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Physical Sciences › Engineering › Electrical and Electronic Engineering › IoT-based Smart Home Systems
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Keywords
- home energy management systems, home automation, renewable energy, ZigBee, programmable logic controller, energy cost reduction, energy scheduling
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
