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5G network-based Internet of Things for demand response in smart grid: A survey on application potential

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  1. Walied Alharbi, 2023. "Integrating Internet-of-Things-Based Houses into Demand Response Programs in Smart Grid," Energies, MDPI, vol. 16(9), pages 1-13, April.
  2. Wu, Ying & Wu, Yanpeng & Guerrero, Josep M. & Vasquez, Juan C., 2021. "A comprehensive overview of framework for developing sustainable energy internet: From things-based energy network to services-based management system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
  3. Cambini, Carlo & Congiu, Raffaele & Jamasb, Tooraj & Llorca, Manuel & Soroush, Golnoush, 2020. "Energy Systems Integration: Implications for public policy," Energy Policy, Elsevier, vol. 143(C).
  4. Lyu, Wenjing & Liu, Jin, 2021. "Soft skills, hard skills: What matters most? Evidence from job postings," Applied Energy, Elsevier, vol. 300(C).
  5. Giovanni Rinaldi & Philipp R. Thies & Lars Johanning, 2021. "Current Status and Future Trends in the Operation and Maintenance of Offshore Wind Turbines: A Review," Energies, MDPI, vol. 14(9), pages 1-28, April.
  6. Turki Alsuwian & Aiman Shahid Butt & Arslan Ahmed Amin, 2022. "Smart Grid Cyber Security Enhancement: Challenges and Solutions—A Review," Sustainability, MDPI, vol. 14(21), pages 1-21, October.
  7. Tabar, Vahid Sohrabi & Ghassemzadeh, Saeid & Tohidi, Sajjad, 2021. "Increasing resiliency against information vulnerability of renewable resources in the operation of smart multi-area microgrid," Energy, Elsevier, vol. 220(C).
  8. Xiao, Jucheng & He, Guangyu & Fan, Shuai & Zhang, Siyuan & Wu, Qing & Li, Zuyi, 2020. "Decentralized transfer of contingency reserve: Framework and methodology," Applied Energy, Elsevier, vol. 278(C).
  9. Ibrahim, Muhammad Sohail & Dong, Wei & Yang, Qiang, 2020. "Machine learning driven smart electric power systems: Current trends and new perspectives," Applied Energy, Elsevier, vol. 272(C).
  10. Jeddi, Babak & Mishra, Yateendra & Ledwich, Gerard, 2021. "Distributed load scheduling in residential neighborhoods for coordinated operation of multiple home energy management systems," Applied Energy, Elsevier, vol. 300(C).
  11. Artur Felipe da Silva Veloso & José Valdemir Reis Júnior & Ricardo de Andrade Lira Rabelo & Jocines Dela-flora Silveira, 2021. "HyDSMaaS: A Hybrid Communication Infrastructure with LoRaWAN and LoraMesh for the Demand Side Management as a Service," Future Internet, MDPI, vol. 13(11), pages 1-45, October.
  12. Naser Hossein Motlagh & Mahsa Mohammadrezaei & Julian Hunt & Behnam Zakeri, 2020. "Internet of Things (IoT) and the Energy Sector," Energies, MDPI, vol. 13(2), pages 1-27, January.
  13. Liu, Zeyu & Li, Hang & Hou, Kai & Xu, Xiandong & Jia, Hongjie & Zhu, Lewei & Mu, Yunfei, 2023. "Risk assessment and alleviation of regional integrated energy system considering cross-system failures," Applied Energy, Elsevier, vol. 350(C).
  14. Basel Barakat & Ahmad Taha & Ryan Samson & Aiste Steponenaite & Shuja Ansari & Patrick M. Langdon & Ian J. Wassell & Qammer H. Abbasi & Muhammad Ali Imran & Simeon Keates, 2021. "6G Opportunities Arising from Internet of Things Use Cases: A Review Paper," Future Internet, MDPI, vol. 13(6), pages 1-29, June.
  15. Lyu, Wenjing & Liu, Jin, 2021. "Artificial Intelligence and emerging digital technologies in the energy sector," Applied Energy, Elsevier, vol. 303(C).
  16. Kong, Xiangyu & Sun, Fangyuan & Huo, Xianxu & Li, Xue & Shen, Yu, 2020. "Hierarchical optimal scheduling method of heat-electricity integrated energy system based on Power Internet of Things," Energy, Elsevier, vol. 210(C).
  17. Mehar Ullah & Daniel Gutierrez-Rojas & Eero Inkeri & Tero Tynjälä & Pedro H. J. Nardelli, 2022. "Operation of Power-to-X-Related Processes Based on Advanced Data-Driven Methods: A Comprehensive Review," Energies, MDPI, vol. 15(21), pages 1-17, October.
  18. Stracqualursi, Erika & Rosato, Antonello & Di Lorenzo, Gianfranco & Panella, Massimo & Araneo, Rodolfo, 2023. "Systematic review of energy theft practices and autonomous detection through artificial intelligence methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
  19. Zhang, Dongdong & Li, Chunjiao & Goh, Hui Hwang & Ahmad, Tanveer & Zhu, Hongyu & Liu, Hui & Wu, Thomas, 2022. "A comprehensive overview of modeling approaches and optimal control strategies for cyber-physical resilience in power systems," Renewable Energy, Elsevier, vol. 189(C), pages 1383-1406.
  20. Zeng, Bo & Zhang, Weixiang & Hu, Pinduan & Sun, Jing & Gong, Dunwei, 2023. "Synergetic renewable generation allocation and 5G base station placement for decarbonizing development of power distribution system: A multi-objective interval evolutionary optimization approach," Applied Energy, Elsevier, vol. 351(C).
  21. de Souza Dutra, Michael David & Alguacil, Natalia, 2020. "Optimal residential users coordination via demand response: An exact distributed framework," Applied Energy, Elsevier, vol. 279(C).
  22. Jiayu Cheng & Dongliang Duan & Xiang Cheng & Liuqing Yang & Shuguang Cui, 2021. "Adaptive Control for Energy Exchange with Probabilistic Interval Predictors in Isolated Microgrids," Energies, MDPI, vol. 14(2), pages 1-23, January.
  23. Fernanda Spada Villar & Pedro Henrique Juliano Nardelli & Arun Narayanan & Renan Cipriano Moioli & Hader Azzini & Luiz Carlos Pereira da Silva, 2021. "Noninvasive Detection of Appliance Utilization Patterns in Residential Electricity Demand," Energies, MDPI, vol. 14(6), pages 1-23, March.
  24. Hui, Hengyu & Bao, Minglei & Ding, Yi & Yan, Jinyue & Song, Yonghua, 2023. "Probabilistic integrated flexible regions of multi-energy industrial parks: Conceptualization and characterization," Applied Energy, Elsevier, vol. 349(C).
  25. Calum Strange & Rasheed Ibraheem & Gonçalo dos Reis, 2023. "Online Lifetime Prediction for Lithium-Ion Batteries with Cycle-by-Cycle Updates, Variance Reduction, and Model Ensembling," Energies, MDPI, vol. 16(7), pages 1-14, April.
  26. Chen, Lin & Wang, Jianxiao & Wu, Zhaoyuan & Li, Gengyin & Zhou, Ming & Li, Peng & Zhang, Yihan, 2021. "Communication reliability-restricted energy sharing strategy in active distribution networks," Applied Energy, Elsevier, vol. 282(PB).
  27. Sun, Mingyi & Zhao, Xia & Tan, Hong & Li, Xinyi, 2022. "Coordinated operation of the integrated electricity-water distribution system and water-cooled 5G base stations," Energy, Elsevier, vol. 238(PC).
  28. Lv, Si & Wei, Zhinong & Chen, Sheng & Sun, Guoqiang & Wang, Dan, 2021. "Integrated demand response for congestion alleviation in coupled power and transportation networks," Applied Energy, Elsevier, vol. 283(C).
  29. Zhang, Chao & Lasaulce, Samson & Wang, Li & Saludjian, Lucas & Poor, H. Vincent, 2022. "A refined consumer behavior model for energy systems: Application to the pricing and energy-efficiency problems," Applied Energy, Elsevier, vol. 308(C).
  30. Ahmad, Tanveer & Huanxin, Chen & Zhang, Dongdong & Zhang, Hongcai, 2020. "Smart energy forecasting strategy with four machine learning models for climate-sensitive and non-climate sensitive conditions," Energy, Elsevier, vol. 198(C).
  31. Lilia Tightiz & Hyosik Yang, 2020. "A Comprehensive Review on IoT Protocols’ Features in Smart Grid Communication," Energies, MDPI, vol. 13(11), pages 1-24, June.
  32. Matthew Boeding & Paul Scalise & Michael Hempel & Hamid Sharif & Juan Lopez, 2024. "Toward Wireless Smart Grid Communications: An Evaluation of Protocol Latencies in an Open-Source 5G Testbed," Energies, MDPI, vol. 17(2), pages 1-18, January.
  33. Inna Čábelková & Wadim Strielkowski & Frank-Detlef Wende & Raisa Krayneva, 2020. "Factors Influencing the Threats for Urban Energy Networks: The Inhabitants’ Point of View," Energies, MDPI, vol. 13(21), pages 1-19, October.
  34. Lilia Tightiz & Hyosik Yang & Mohammad Jalil Piran, 2020. "A Survey on Enhanced Smart Micro-Grid Management System with Modern Wireless Technology Contribution," Energies, MDPI, vol. 13(9), pages 1-21, May.
  35. Lilia Tightiz & Joon Yoo, 2022. "A Review on a Data-Driven Microgrid Management System Integrating an Active Distribution Network: Challenges, Issues, and New Trends," Energies, MDPI, vol. 15(22), pages 1-24, November.
  36. Zhuang, Weichao & Li (Eben), Shengbo & Zhang, Xiaowu & Kum, Dongsuk & Song, Ziyou & Yin, Guodong & Ju, Fei, 2020. "A survey of powertrain configuration studies on hybrid electric vehicles," Applied Energy, Elsevier, vol. 262(C).
  37. Mohseni, Soheil & Brent, Alan C. & Kelly, Scott & Browne, Will N. & Burmester, Daniel, 2021. "Strategic design optimisation of multi-energy-storage-technology micro-grids considering a two-stage game-theoretic market for demand response aggregation," Applied Energy, Elsevier, vol. 287(C).
  38. Daiva Stanelyte & Neringa Radziukyniene & Virginijus Radziukynas, 2022. "Overview of Demand-Response Services: A Review," Energies, MDPI, vol. 15(5), pages 1-31, February.
  39. Qiu, Dawei & Wang, Yi & Sun, Mingyang & Strbac, Goran, 2022. "Multi-service provision for electric vehicles in power-transportation networks towards a low-carbon transition: A hierarchical and hybrid multi-agent reinforcement learning approach," Applied Energy, Elsevier, vol. 313(C).
  40. Hui, Hongxun & Ding, Yi & Song, Yonghua, 2020. "Adaptive time-delay control of flexible loads in power systems facing accidental outages," Applied Energy, Elsevier, vol. 275(C).
  41. Armando J. Taveras Cruz & Miguel Aybar-Mejía & Yobany Díaz Roque & Karla Coste Ramírez & José Gabriel Durán & Dinelson Rosario Weeks & Deyslen Mariano-Hernández & Luis Hernández-Callejo, 2023. "Implications of 5G Technology in the Management of Power Microgrids: A Review of the Literature," Energies, MDPI, vol. 16(4), pages 1-18, February.
  42. Razzak, Abdur & Islam, Md. Tariqul & Roy, Palash & Razzaque, Md. Abdur & Hassan, Md. Rafiul & Hassan, Mohammad Mehedi, 2024. "Leveraging Deep Q-Learning to maximize consumer quality of experience in smart grid," Energy, Elsevier, vol. 290(C).
  43. Fan, Shuai & Liu, Jiang & Wu, Qing & Cui, Mingjian & Zhou, Huan & He, Guangyu, 2020. "Optimal coordination of virtual power plant with photovoltaics and electric vehicles: A temporally coupled distributed online algorithm," Applied Energy, Elsevier, vol. 277(C).
  44. Arman Goudarzi & Farzad Ghayoor & Muhammad Waseem & Shah Fahad & Issa Traore, 2022. "A Survey on IoT-Enabled Smart Grids: Emerging, Applications, Challenges, and Outlook," Energies, MDPI, vol. 15(19), pages 1-32, September.
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