Integration of SCADA and embedded fuzzy-based load scheduling in Home Energy Management System with grid-connected PV
References
- D. T. An, “Private Investment and Economic Development: Ensuring Sustainability in the Future,”
J. Human, Earth, Futur. , vol. 4, no. 4, pp. 424–442, 2023, doi:10.28991/HEF-2023-04-04-04 . - J. Leitao, P. Gil, B. Ribeiro, and A. Cardoso, “A Survey on Home Energy Management,”
IEEE Access , vol. 8, pp. 5699–5722, 2020, doi:10.1109/ACCESS.2019.2963502 . - M. El Alaoui, L. O. Chahidi, M. Rougui, A. Lemrani, and A. Mechaqrane, “Prediction of Energy Consumption of an Administrative Building using Machine Learning and Statistical Methods,”
Civ. Eng. J. , vol. 9, no. 5, pp. 1007–1022, 2023, doi:10.28991/CEJ-2023-09-05-01 . - K. E. Setiawan, G. N. Elwirehardja, and B. Pardamean, “Indoor Climate Prediction Using Attention-Based Sequence-to-Sequence Neural Network,”
Civ. Eng. J. , vol. 9, no. 5, pp. 1105–1120, 2023, doi:10.28991/CEJ-2023-09-05-06 . - A. Raza, L. Jingzhao, Y. Ghadi, M. Adnan, and M. Ali, “Smart home energy management systems: Research challenges and survey,”
Alexandria Eng. J. , vol. 92, no. November 2023, pp. 117–170, 2024, doi:10.1016/j.aej.2024.02.033 . - G. Graditi et al., “Innovative control logics for a rational utilization of electric loads and air-conditioning systems in a residential building,”
Energy Build. , vol. 102, pp. 1–17, 2015, doi:10.1016/j.enbuild.2015.05.027 . - J. S. Jabash and J. Jasper, “MANFIS based SMART home energy management system to support SMART grid,”
Peer-to-Peer Netw. Appl. , vol. 13, no. 6, pp. 2177–2188, 2020, doi:10.1007/s12083-020-00884-8 . - M. Nutakki and S. Mandava, “Review on optimization techniques and role of Artificial Intelligence in home energy management systems,”
Eng. Appl. Artif. Intell. , vol. 119, no. December 2022, 2023, doi:10.1016/j.engappai.2022.105721 . - O. E. Dragomir and F. Dragomir, “Application of Scheduling Techniques for Load-Shifting in Smart Homes with Renewable-Energy-Sources Integration,”
Buildings , vol. 13, no. 1, 2023, doi:10.3390/buildings13010134 . - I. Gomes, K. Bot, M. da G. Ruano, and A. Ruano, “Recent Techniques Used in Home Energy Management Systems: A Review,”
Energies , vol. 15, no. 8, 2022, doi:10.3390/en15082866 . - H. Apaydin-özkan, “An appliance scheduling system for residential energy management,”
Sensors , vol. 21, no. 9, 2021, doi:10.3390/s21093287 . - B. Emami, J. Jiang, and H. Sun, “Fuzzy Logic Controller for Load-Shifting in Smart Homes with Battery Storage & Rooftop PV,” in
Proceedings of the IEEE International Conference on Industrial Technology , 2024. doi:10.1109/ICIT58233.2024.10540917 . - Y. Ghadi, “Optimization of analyzing fuzzy control for smart home energy in a smart grid environment,”
ICIC Express Lett. Part B Appl. , vol. 11, no. 8, pp. 803–814, 2020, doi:10.24507/icicelb.11.08.803 . - A. Chojecki, M. Rodak, A. Ambroziak, and P. Borkowski, “Energy management system for residential buildings based on fuzzy logic: Design and implementation in smart-meter,”
IET Smart Grid , vol. 3, no. 2, pp. 254–266, 2020, doi:10.1049/iet-stg.2019.0005 . - R. Zhang, V. E. Sathishkumar, and R. D. J. Samuel, “Fuzzy efficient energy smart home management system for renewable energy resources,”
Sustain. , vol. 12, no. 8, 2020, doi:10.3390/SU12083115 . - S. Atef, N. Ismail, and A. B. Eltawil, “A new fuzzy logic based approach for optimal household appliance scheduling based on electricity price and load consumption prediction,”
Adv. Build. Energy Res. , vol. 16, no. 2, pp. 262–280, 2022, doi:10.1080/17512549.2021.1873183 . - P. Lissa, C. Deane, M. Schukat, F. Seri, M. Keane, and E. Barrett, “Deep reinforcement learning for home energy management system control,”
Energy AI , vol. 3, 2021, doi:10.1016/j.egyai.2020.100043 . - J. Lu, P. Mannion, and K. Mason, “A multi-objective multi-agent deep reinforcement learning approach to residential appliance scheduling,”
IET Smart Grid , vol. 5, no. 4, pp. 260–280, 2022, doi:10.1049/stg2.12068 . - Z. Mahmood et al., “Efficient Scheduling of Home Energy Management Controller (HEMC) Using Heuristic Optimization Techniques,”
Sustain. , vol. 15, no. 2, pp. 1–22, 2023, doi:10.3390/su15021378 . - R. O. Ibrahim, E. Tambo, D. Tsuanyo, and A. Nguedia-Nguedoung, “Modelling an Artificial Intelligence-Based Energy Management for Household in Nigeria,”
Eng. Lett. , vol. 30, no. 1, pp. 140–151, 2022. - N. Tutkun, A. Burgio, M. Jasinski, Z. Leonowicz, and E. Jasinska, “Intelligent scheduling of smart home appliances based on demand response considering the cost and peak-to-average ratio in residential homes,”
Energies , vol. 14, no. 24, 2021, doi:10.3390/en14248510 . - E. S. F. Tantawy, G. M. Amer, and H. M.Fayez, “Scheduling Home Appliances with Integration of Hybrid Energy Sources using Intelligent Algorithms,”
Ain Shams Eng. J. , vol. 13, no. 4, 2022, doi:10.1016/j.asej.2021.101676 . - B. N. Alhasnawi et al., “A new Internet of Things based optimization scheme of residential demand side management system,”
IET Renew. Power Gener. , vol. 16, no. 10, pp. 1992–2006, 2022, doi:10.1049/rpg2.12466 . - C. K. Rao, S. K. Sahoo, and F. F. Yanine, “A literature review on an IoT-based intelligent smart energy management systems for PV power generation,”
Hybrid Adv. , vol. 5, p. 100136, Apr. 2024, doi:10.1016/j.hybadv.2023.100136 . - A. James, A. Seth, and S. C. Mukhopadhyay,
Projects on IoT Systems , vol. 41. 2022. doi:10.1007/978-3-030-85863-6_12 . - S. Mischos, E. Dalagdi, and D. Vrakas, “Intelligent energy management systems: a review,”
Artif. Intell. Rev. , vol. 56, no. 10, pp. 11635–11674, 2023, doi:10.1007/s10462-023-10441-3 . - A. Soetedjo, A. Lomi, and Y. I. Nakhoda, “Incorporating SCADA Software and High Level Language for Implementing the Optimization Technique in Smart Grid,”
Int. J. Innov. Comput. Inf. Control , vol. 13, no. 3, pp. 711–726, 2017.
DOI: https://doi.org/10.2478/ijssis-2025-0020 | Journal eISSN: 1178-5608
Language: English
Submitted on: Sep 15, 2024
Published on: Apr 27, 2025
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year
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© 2025 Sugeng Priyanto, Aryuanto Soetedjo, Irrine Budi Sulistiawati, published by Professor Subhas Chandra Mukhopadhyay
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