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An IoT-enabled hierarchical decentralized framework for multi-energy microgrids market management in the presence of smart prosumers using a deep learning-based forecaster

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Cited by:

  1. Lei, Yu & Ali, Mazhar & Khan, Imran Ali & Yinling, Wang & Mostafa, Aziz, 2024. "Presenting a model for decentralized operation based on the internet of things in a system multiple microgrids," Energy, Elsevier, vol. 293(C).
  2. Zhang, Pan & Mansouri, Seyed Amir & Rezaee Jordehi, Ahmad & Tostado-Véliz, Marcos & Alharthi, Yahya Z. & Safaraliev, Murodbek, 2024. "An ADMM-enabled robust optimization framework for self-healing scheduling of smart grids integrated with smart prosumers," Applied Energy, Elsevier, vol. 363(C).
  3. Bardeeniz, Santi & Panjapornpon, Chanin & Fongsamut, Chalermpan & Ngaotrakanwiwat, Pailin & Hussain, Mohamed Azlan, 2024. "Energy efficiency characteristics analysis for process diagnosis under anomaly using self-adaptive-based SHAP guided optimization," Energy, Elsevier, vol. 309(C).
  4. Khaledi, Arian & Saifoddin, Amirali, 2023. "Three-stage resilience-oriented active distribution systems operation after natural disasters," Energy, Elsevier, vol. 282(C).
  5. Te Li & Mengze Zhang & Yan Zhou, 2024. "LTPNet Integration of Deep Learning and Environmental Decision Support Systems for Renewable Energy Demand Forecasting," Papers 2410.15286, arXiv.org.
  6. Hussain, Shahid & Irshad, Reyazur Rashid & Pallonetto, Fabiano & Hussain, Ihtisham & Hussain, Zakir & Tahir, Muhammad & Abimannan, Satheesh & Shukla, Saurabh & Yousif, Adil & Kim, Yun-Su & El-Sayed, H, 2023. "Hybrid coordination scheme based on fuzzy inference mechanism for residential charging of electric vehicles," Applied Energy, Elsevier, vol. 352(C).
  7. Jin-Li Hu & Min-Yueh Chuang, 2023. "The Importance of Energy Prosumers for Affordable and Clean Energy Development: A Review of the Literature from the Viewpoints of Management and Policy," Energies, MDPI, vol. 16(17), pages 1-16, August.
  8. Mobarak Abumohsen & Amani Yousef Owda & Majdi Owda, 2023. "Electrical Load Forecasting Using LSTM, GRU, and RNN Algorithms," Energies, MDPI, vol. 16(5), pages 1-31, February.
  9. Bagheritabar, Mahmoud & Hakimi, Seyed Mehdi & Derakhshan, Ghasem & Rezaee Jordehi, Ahmad, 2025. "A three-stage optimization framework for unlocking demand-side flexibility in highly renewable electricity grids," Energy, Elsevier, vol. 320(C).
  10. Satyajit Mohanty & Ankit Bhanja & Shivam Prakash Gautam & Dhanamjayulu Chittathuru & Santanu Kumar Dash & Mrutyunjaya Mangaraj & Ravikumar Chinthaginjala & Abdullah M. Alamri, 2023. "Review of a Comprehensive Analysis of Planning, Functionality, Control, and Protection for Direct Current Microgrids," Sustainability, MDPI, vol. 15(21), pages 1-28, October.
  11. Habib, Salman & El-Ferik, Sami & Gulzar, Muhammad Majid & Chauhdary, Sohaib Tahir & Ahmad, Hasnain & Ahmed, Emad M., 2025. "Optimizing integrated energy systems with a robust MISOCP model and C&CG algorithm for enhanced grid efficiency and profitability," Energy, Elsevier, vol. 318(C).
  12. Lerch, Philipp & Scheller, Fabian & Reichelt, David G. & Menzel, Katharina & Bruckner, Thomas, 2024. "Electricity cost and CO2 savings potential for chlor-alkali electrolysis plants: Benefits of electricity price dependent demand response," Applied Energy, Elsevier, vol. 355(C).
  13. Toni Alex Reis Borges & Filipe Cardoso Brito & Rafael Guimarães Oliveira dos Santos & Paulo de Tarso Nascimento & Celso Barreto da Silva & Roberta Mota Panizio & Hugo Saba & Aloísio Santos Nascimento , 2025. "Smart Technologies Applied in Microgrids of Renewable Energy Sources: A Systematic Review," Energies, MDPI, vol. 18(11), pages 1-20, May.
  14. Zheng, Hairong & Wang, Sikai & Zhang, Tingting, 2025. "Dynamic risk spillovers between green bonds and energy markets: New evidence from the GARCH-MIDAS-D-Copula-CoVaR approach considering uncertainties," Renewable Energy, Elsevier, vol. 239(C).
  15. Wu, Yongfei & Huang, Shoujun & Alharthi, Yahya Z. & Wang, Yubin, 2025. "Market scheduling of emission-aware smart prosumers in smart grids: A multi-objective bi-level approach," Applied Energy, Elsevier, vol. 389(C).
  16. Rosen, Karol & Angeles-Camacho, César & Elvira, Víctor & Guillén-Burguete, Servio Tulio, 2023. "Intra-hour photovoltaic forecasting through a time-varying Markov switching model," Energy, Elsevier, vol. 278(PB).
  17. Han, Gao & Pan, Haiyang & Liu, Yanming & Li, Qian & Wang, Ping, 2025. "A methodology for integrating hydrogen refueling stations in multi-microgrids and coordination of distribution systems and transmission system," Energy, Elsevier, vol. 322(C).
  18. Mateusz Dutka & Bogusław Świątek & Zbigniew Hanzelka, 2023. "Wind Power Forecasts and Network Learning Process Optimization through Input Data Set Selection," Energies, MDPI, vol. 16(6), pages 1-36, March.
  19. Toopshekan, Ashkan & Ahmadi, Esmaeil & Abedian, Ali & Vaziri Rad, Mohammad Amin, 2024. "Techno-economic analysis, optimization, and dispatch strategy development for renewable energy systems equipped with Internet of Things technology," Energy, Elsevier, vol. 296(C).
  20. Chen, Dongyu & Lin, Xiaojie & Qiao, Yiyuan, 2025. "Perspectives for artificial intelligence in sustainable energy systems," Energy, Elsevier, vol. 318(C).
  21. Wu, Yongfei & Gu, Weiyu & Huang, Shoujun & Wei, Xiaolong & Safaraliev, Murodbek, 2025. "A four-layer business model for integration of electric vehicle charging stations and hydrogen fuelling stations into modern power systems," Applied Energy, Elsevier, vol. 377(PC).
  22. Hao Liu & Bo Yang & Song Xu & Mingjian Du & Shuai Lu, 2023. "Universal Virtual Synchronous Generator Based on Extended Virtual Inertia to Enhance Power and Frequency Response," Energies, MDPI, vol. 16(7), pages 1-20, March.
  23. Xi Ye & Gan Li & Tong Zhu & Lei Zhang & Yanfeng Wang & Xiang Wang & Hua Zhong, 2023. "A Dispatching Method for Large-Scale Interruptible Load and Electric Vehicle Clusters to Alleviate Overload of Interface Power Flow," Sustainability, MDPI, vol. 15(16), pages 1-20, August.
  24. Seyed Mohammad Shojaei & Reihaneh Aghamolaei & Mohammad Reza Ghaani, 2024. "Recent Advancements in Applying Machine Learning in Power-to-X Processes: A Literature Review," Sustainability, MDPI, vol. 16(21), pages 1-41, November.
  25. Farhan Mumtaz & Nor Zaihar Yahaya & Sheikh Tanzim Meraj & Narinderjit Singh Sawaran Singh & Md. Siddikur Rahman & Molla Shahadat Hossain Lipu, 2023. "A High Voltage Gain Interleaved DC-DC Converter Integrated Fuel Cell for Power Quality Enhancement of Microgrid," Sustainability, MDPI, vol. 15(9), pages 1-21, April.
  26. Sepideh Radhoush & Trevor Vannoy & Kaveen Liyanage & Bradley M. Whitaker & Hashem Nehrir, 2023. "Distribution System State Estimation and False Data Injection Attack Detection with a Multi-Output Deep Neural Network," Energies, MDPI, vol. 16(5), pages 1-22, February.
  27. Li, Linyue & Li, Chenxiao & Alharthi, Yahya Z. & Wang, Yubin & Safaraliev, Murodbek, 2025. "A two-layer economic resilience model for distribution network restoration after natural disasters," Applied Energy, Elsevier, vol. 377(PC).
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