Métodos de otimização em sistemas de gestão de energia: uma revisão
Resumo
A otimização do consumo e da geração descentralizada de energia em ambientes remotos é um dos principais desafios da transição energética. Nesse contexto, os Sistemas de Gestão de Energia (Energy Management Systems – EMS) desempenham papel central ao permitirem o monitoramento, a previsão e o controle da demanda. Diversos métodos de otimização têm sido aplicados a esses sistemas, abrangendo desde técnicas clássicas até metaheurísticas e inteligência artificial, cada uma com características próprias de desempenho e aplicabilidade. Este artigo revisa os principais métodos de otimização empregados em EMS, discutindo suas vantagens, limitações e áreas de aplicação.
Palavras-chave:
Otimização, Sistemas de Gestão de Energia (EMS), Metaheurísticas, Inteligência Artificial, Transição Energética
Referências
Fayez, H.M., Amer, G.M., El tantawy, E.S.F. (2021) "Load Management in Smart Home Using Intelligent Algorithms", 22nd International Middle East Power Systems Conference (MEPCON), IEEE, 521–527.
Liñan-reyes, M., Garrido-zafra, J., Gil-de-castro, A.G.D. et al. (2021) "Energy management expert assistant, a new concept", Sensors (MDPI), 21.
Alhasnawi, B.N., Jasim, B.H., Siano, P. et al. (2022) "A Novel Solution for Day-Ahead Scheduling Problems Using the IoT-Based Bald Eagle Search Optimization Algorithm", Inventions (MDPI), 7.
Correa-delval, M., Sun, H., Matthews, P.C. et al. (2022) "Appliance Scheduling Optimisation Method Using Historical Data in Households with RES Generation and Battery Storage Systems", 5th International Conference on Renewable Energy and Power Engineering (REPE), 442–447.
Elkholy, M.H., Senjyu, T., Elsayed lotfy, M.E. et al. (2022) "Design and Implementation of a Real-Time Smart Home Management System Considering Energy Saving", Sustainability (MDPI), 14.
Rochd, A., Benazzouz, A., Ait abdelmoula, I. et al. (2021) "Design and implementation of an AI-based & IoT-enabled Home Energy Management System: A case study in Benguerir — Morocco", Energy Reports (Elsevier), 7, 699–719.
Wang, X., Mao, X., Khodaei, H. (2021) "A multi-objective home energy management system based on internet of things and optimization algorithms", Journal of Building Engineering, 33.
Alhasnawi, B.N., Jasim, B.H., Mansoor, R.D. et al. (2022) "A new Internet of Things based optimization scheme of residential demand side management system", IET Renewable Power Generation, 16, 1992–2006.
Sharda, S., Sharma, K., Singh, M. (2021) "A real-time automated scheduling algorithm with PV integration for smart home prosumers", Journal of Building Engineering, 44.
Constantinou, S., Costa, C., Konstantinidis, A. et al. (2025) "A Sustainable Energy Management Framework for Smart Homes", IEEE Transactions on Sustainable Computing, 10, 70–81.
Shreenidhi, H.S., Ramaiah, N.S. (2022) "A two-stage deep convolutional model for demand response energy management system in IoT-enabled smart grid", Sustainable Energy, Grids and Networks (Elsevier), 30.
Constantinou, S., Polycarpou, N., Costa, C. et al. (2023) "An IoT Data System for Solar Self-Consumption", 24th IEEE International Conference on Mobile Data Management (MDM), 65–72.
Guan, Y., Feng, W., Wu, Y. et al. (2020) "An IoT Platform-based Multi-objective Energy Management System for Residential Microgrids", IEEE 9th International Power Electronics and Motion Control Conference, 3107–3112.
Ghosh, A., Goswami, A.K., Basu, A. et al. (2024) "An IoT-based Smart Building Energy Management using DSM Strategies", 3rd International Conference on Power Electronics and IoT Applications in Renewable Energy and its Control (PARC), 123–128.
Polamuri, S.R., Nalla, L.V., Madhuri, A.D. et al. (2024) "Analyse The Energy Consumption by Integrating the IOT and Pattern Recognition Technique", 2nd International Conference on Disruptive Technologies (ICDT), 607–610.
Shakir, A., Zhang, J., He, Y. et al. (2025) "Coordinated Optimization of Household Air Conditioning and Battery Energy Storage Systems: Implementation and Performance Evaluation", Processes (MDPI), 13.
Kormpakis, G., Lekidis, A., Papias, I. et al. (2025) "Holistic framework for household energy management services", IEEE.
Ramachandra, N., Rajasekar, N. (2025) "Kubernetes and IoT-based next-generation scalable energy management framework for residential clusters", Journal of Building Engineering, 104.
Senthilkumar, G., Mallala, B., Sivarajan, S. et al. (2024) "Maximizing Power Utilization through Machine Learning and IoT based Power Flow Strategies in DC Micro Grids with Renewable Energy Resources", Proceedings of the 7th International Conference on Inventive Computation Technologies, 1166–1171.
Abishu, H.N., Mohammed, A.M., Márquez, S. et al. (2024) "Multi-Agent DRL-based Multi-Objective Demand Response Optimization for Real-Time Energy Management in Smart Homes", 20th International Wireless Communications & Mobile Computing Conference, 1210–1217.
Bahmanyar, D., Razmjooy, N., Mirjalili, S.J. (2022) "Multi-objective scheduling of IoT-enabled smart homes for energy management based on Arithmetic Optimization Algorithm: A Node-RED and NodeMCU module-based technique", Knowledge-Based Systems, 247.
Huang, Z., Jin, G. (2024) "Navigating urban day-ahead energy management considering climate change toward using IoT enabled machine learning technique: Toward future sustainable urban", Sustainable Cities and Society, 101.
Kim, H.J., Kim, M.K. (2024) "New Customized Bidirectional Real-Time Pricing Mechanism for Demand Response in Predictive Home Energy Management System", IEEE Internet of Things Journal, 11, 24497–24510.
Hamouda, Y.E.M., Dwedar, S.J.I. (2020) "Optimally Automated Home Management for Smart Grid System Using Sensor Networks: Gaza Strip as a Case Study", Technology and Economics of Smart Grids and Sustainable Energy (Springer), 5.
Vinjamuri, U.R., Burthi, L.R. (2022) "Power Quality Enhancement of Smart Home Energy Management System in Smart Grid Using MAORDF-CapSA Technique", Ecological Engineering & Environmental Technology, 23, 1–19.
Rehman, U.U. (2025) "Proximal Policy Optimization–Driven Real-Time Home Energy Management System with Storage and Renewables", Process Integration and Optimization for Sustainability, 9, 507–536.
Nakıp, M., Çopur, O., Biyik, E. et al. (2023) "Renewable energy management in smart home environment via forecast embedded scheduling based on Recurrent Trend Predictive Neural Network", Applied Energy (Elsevier), 340.
Karuna, G., Poornima, E., S, A. et al. (2024) "Smart energy management: real-time prediction and optimization for IoT-enabled smart homes", Cogent Engineering, 11.
Ramachandra, N., Rajasekar, N. (2024) "State-of-the-art and real-time implementation of an IoT-based home energy management system for a cluster of dwellings", Heliyon (Elsevier), 10.
Lin, Y. (2021) "Trainingless multi-objective evolutionary computing-based nonintrusive load monitoring: Part of smart-home energy management for demand-side management", Journal of Building Engineering, 33.
Liñan-reyes, M., Garrido-zafra, J., Gil-de-castro, A.G.D. et al. (2021) "Energy management expert assistant, a new concept", Sensors (MDPI), 21.
Alhasnawi, B.N., Jasim, B.H., Siano, P. et al. (2022) "A Novel Solution for Day-Ahead Scheduling Problems Using the IoT-Based Bald Eagle Search Optimization Algorithm", Inventions (MDPI), 7.
Correa-delval, M., Sun, H., Matthews, P.C. et al. (2022) "Appliance Scheduling Optimisation Method Using Historical Data in Households with RES Generation and Battery Storage Systems", 5th International Conference on Renewable Energy and Power Engineering (REPE), 442–447.
Elkholy, M.H., Senjyu, T., Elsayed lotfy, M.E. et al. (2022) "Design and Implementation of a Real-Time Smart Home Management System Considering Energy Saving", Sustainability (MDPI), 14.
Rochd, A., Benazzouz, A., Ait abdelmoula, I. et al. (2021) "Design and implementation of an AI-based & IoT-enabled Home Energy Management System: A case study in Benguerir — Morocco", Energy Reports (Elsevier), 7, 699–719.
Wang, X., Mao, X., Khodaei, H. (2021) "A multi-objective home energy management system based on internet of things and optimization algorithms", Journal of Building Engineering, 33.
Alhasnawi, B.N., Jasim, B.H., Mansoor, R.D. et al. (2022) "A new Internet of Things based optimization scheme of residential demand side management system", IET Renewable Power Generation, 16, 1992–2006.
Sharda, S., Sharma, K., Singh, M. (2021) "A real-time automated scheduling algorithm with PV integration for smart home prosumers", Journal of Building Engineering, 44.
Constantinou, S., Costa, C., Konstantinidis, A. et al. (2025) "A Sustainable Energy Management Framework for Smart Homes", IEEE Transactions on Sustainable Computing, 10, 70–81.
Shreenidhi, H.S., Ramaiah, N.S. (2022) "A two-stage deep convolutional model for demand response energy management system in IoT-enabled smart grid", Sustainable Energy, Grids and Networks (Elsevier), 30.
Constantinou, S., Polycarpou, N., Costa, C. et al. (2023) "An IoT Data System for Solar Self-Consumption", 24th IEEE International Conference on Mobile Data Management (MDM), 65–72.
Guan, Y., Feng, W., Wu, Y. et al. (2020) "An IoT Platform-based Multi-objective Energy Management System for Residential Microgrids", IEEE 9th International Power Electronics and Motion Control Conference, 3107–3112.
Ghosh, A., Goswami, A.K., Basu, A. et al. (2024) "An IoT-based Smart Building Energy Management using DSM Strategies", 3rd International Conference on Power Electronics and IoT Applications in Renewable Energy and its Control (PARC), 123–128.
Polamuri, S.R., Nalla, L.V., Madhuri, A.D. et al. (2024) "Analyse The Energy Consumption by Integrating the IOT and Pattern Recognition Technique", 2nd International Conference on Disruptive Technologies (ICDT), 607–610.
Shakir, A., Zhang, J., He, Y. et al. (2025) "Coordinated Optimization of Household Air Conditioning and Battery Energy Storage Systems: Implementation and Performance Evaluation", Processes (MDPI), 13.
Kormpakis, G., Lekidis, A., Papias, I. et al. (2025) "Holistic framework for household energy management services", IEEE.
Ramachandra, N., Rajasekar, N. (2025) "Kubernetes and IoT-based next-generation scalable energy management framework for residential clusters", Journal of Building Engineering, 104.
Senthilkumar, G., Mallala, B., Sivarajan, S. et al. (2024) "Maximizing Power Utilization through Machine Learning and IoT based Power Flow Strategies in DC Micro Grids with Renewable Energy Resources", Proceedings of the 7th International Conference on Inventive Computation Technologies, 1166–1171.
Abishu, H.N., Mohammed, A.M., Márquez, S. et al. (2024) "Multi-Agent DRL-based Multi-Objective Demand Response Optimization for Real-Time Energy Management in Smart Homes", 20th International Wireless Communications & Mobile Computing Conference, 1210–1217.
Bahmanyar, D., Razmjooy, N., Mirjalili, S.J. (2022) "Multi-objective scheduling of IoT-enabled smart homes for energy management based on Arithmetic Optimization Algorithm: A Node-RED and NodeMCU module-based technique", Knowledge-Based Systems, 247.
Huang, Z., Jin, G. (2024) "Navigating urban day-ahead energy management considering climate change toward using IoT enabled machine learning technique: Toward future sustainable urban", Sustainable Cities and Society, 101.
Kim, H.J., Kim, M.K. (2024) "New Customized Bidirectional Real-Time Pricing Mechanism for Demand Response in Predictive Home Energy Management System", IEEE Internet of Things Journal, 11, 24497–24510.
Hamouda, Y.E.M., Dwedar, S.J.I. (2020) "Optimally Automated Home Management for Smart Grid System Using Sensor Networks: Gaza Strip as a Case Study", Technology and Economics of Smart Grids and Sustainable Energy (Springer), 5.
Vinjamuri, U.R., Burthi, L.R. (2022) "Power Quality Enhancement of Smart Home Energy Management System in Smart Grid Using MAORDF-CapSA Technique", Ecological Engineering & Environmental Technology, 23, 1–19.
Rehman, U.U. (2025) "Proximal Policy Optimization–Driven Real-Time Home Energy Management System with Storage and Renewables", Process Integration and Optimization for Sustainability, 9, 507–536.
Nakıp, M., Çopur, O., Biyik, E. et al. (2023) "Renewable energy management in smart home environment via forecast embedded scheduling based on Recurrent Trend Predictive Neural Network", Applied Energy (Elsevier), 340.
Karuna, G., Poornima, E., S, A. et al. (2024) "Smart energy management: real-time prediction and optimization for IoT-enabled smart homes", Cogent Engineering, 11.
Ramachandra, N., Rajasekar, N. (2024) "State-of-the-art and real-time implementation of an IoT-based home energy management system for a cluster of dwellings", Heliyon (Elsevier), 10.
Lin, Y. (2021) "Trainingless multi-objective evolutionary computing-based nonintrusive load monitoring: Part of smart-home energy management for demand-side management", Journal of Building Engineering, 33.
Publicado
04/12/2025
Como Citar
POSSELT, Dárvin C.; AMORIM, Matheus N.; RAFAEL, André R.; S. JÚNIOR, Iwens G.; PEREIRA, Carlos E..
Métodos de otimização em sistemas de gestão de energia: uma revisão. In: ESCOLA REGIONAL DE INFORMÁTICA DE GOIÁS (ERI-GO), 13. , 2025, Luziânia/GO.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 51-60.
DOI: https://doi.org/10.5753/erigo.2025.17004.
