Abstract
Modern regional power delivery networks include key components like smart energy generation, smart energy storage, flexible power trading for better collaboration, improved power management strategies, efficient control systems, and dependable service. Smart power trading approaches between urban areas have the ability to optimize power generation costs, minimize carbon emissions, and effectively handle irregular demand patterns. Nevertheless, there have been few scholarly investigations that specifically examine the latest advancements in science and the application of algorithms to operate regional power delivery networks. The current research thoroughly examined district heating and cooling systems, looking at advanced grid methods and the use of smart power management strategies that combine different fields of study. This work presented an urban energy trading framework for managing regional power demand, taking into account hybrid power networks. Furthermore, case studies that involve consumer power estimation, resilient power dispatch solutions, developing designs for power uncertainty assessment, and designing necessary functioning elements in hybrid power networks have demonstrated the potential of AI-enabled techniques for sustainable power delivery. Additionally, a holistic regional power framework was developed, combining green power production elements, waste heat harnessing from energy hubs, and innovative power conversion schemes to facilitate the delivery and trading of clean energy sources. The current work also highlights possible problems, such as creating guidelines to find the best power storage options based on different factors like weather conditions and location; challenges in combining systems; technology for hybrid power networks at a business level; and setting up a system that encourages private companies to get involved.
| Original language | English |
|---|---|
| Article number | 116037 |
| Journal | Renewable and Sustainable Energy Reviews |
| Volume | 224 |
| DOIs | |
| State | Published - Dec 2025 |
Bibliographical note
Publisher Copyright:© 2025 Elsevier Ltd
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Artificial intelligence
- Constrained optimization problems
- Low-carbon management
- Smart storage solutions
- Sustainable energy transformation
- Urban thermal management
ASJC Scopus subject areas
- Renewable Energy, Sustainability and the Environment
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