来源：Energies 发布时间：2026/7/31 14:53:54

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文献清单：“智能电网与微电网”方向 | MDPI Energies

期刊：Energies

期刊链接：https://www.mdpi.com/journal/energies

智能电网与微电网是当前的能源研究热点。本清单筛选出 10 篇发表在Energies期刊上的相关论文，诚挚邀请您浏览参阅，希望能为您的科研工作提供有益参考。

1.“Advanced Deep Learning Algorithms for Energy Optimization of Smart Cities”

面向智慧城市能源优化的先进深度学习算法

by Izabela Rojek, Dariusz Miko?ajewski, Krzysztof Galas and Adrianna Piszcz

Energies2025, 18(2), 407;https://doi.org/10.3390/en18020407

2.“Smart Grids and Sustainability: The Impact of Digital Technologies on the Energy Transition”

智能电网与可持续发展：数字技术对能源转型的影响

by Paola Campana, Riccardo Censi, Roberto Ruggieri and Carlo Amendola

Energies2025, 18(9), 2149;https://doi.org/10.3390/en18092149

3.“A Framework for Resilient Community Microgrids: Review of Operational Strategies and Performance Metrics”

韧性社区微电网架构：运行策略与性能指标综述

by Joy Dalmacio Billanes, Bo Nørregaard Jørgensen and Zheng Ma

Energies2025, 18(2), 405;https://doi.org/10.3390/en18020405

4.“A Review of Optimization Strategies for Energy Management in Microgrids”

微电网能源管理优化策略综述

by Astrid Esparza, Maude Blondin and João Pedro F. Trovão

Energies2025, 18(13), 3245;https://doi.org/10.3390/en18133245

5.“A Systematic Review and Evolutionary Analysis of the Optimization Techniques and Software Tools in Hybrid Microgrid Systems”

混合微电网系统优化技术与软件工具的系统性综述及进化分析

by Kawakib Arar Tahir

Energies2025, 18(7), 1770;https://doi.org/10.3390/en18071770

6.“Machine Learning and Artificial Intelligence Techniques in Smart Grids Stability Analysis: A Review”

智能电网稳定性分析领域的机器学习与人工智能技术综述

by Arman Fathollahi

Energies2025, 18(13), 3431;https://doi.org/10.3390/en18133431

7.“A Review of Smart Grid Evolution and Reinforcement Learning: Applications, Challenges and Future Directions”

智能电网发展与强化学习综述：应用、挑战及未来展望

by Na Xu, Zhuo Tang, Chenyi Si, Jinshan Bian and Chaoxu Mu

Energies2025, 18(7), 1837;https://doi.org/10.3390/en18071837

8.“Advanced Deep Learning Based Predictive Maintenance of DC Microgrids: Correlative Analysis”

基于先进深度学习的直流微电网预测性维护及相关性分析

by M. Y. Arafat, M. J. Hossain and Li Li

Energies2025, 18(6), 1535;https://doi.org/10.3390/en18061535

9.“Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach”

智能电网数据稀缺下的小样本负荷预测——元学习方法

by Georgios Tsoumplekas, Christos Athanasiadis, Dimitrios I. Doukas, Antonios Chrysopoulos

and Pericles Mitkas

Energies2025, 18(3), 742;https://doi.org/10.3390/en18030742

10.“Adaptive Hosting Capacity Forecasting in Distribution Networks with Distributed Energy Resources”

含分布式能源的配电网自适应接纳能力预测

by Md TariqulIslam, M. Jahangir Hossain, Md. Ahasan Habib and Muhammad Ahsan Zamee

Energies2025, 18(2), 263;https://doi.org/10.3390/en18020263

Energies期刊介绍

主编：Enrico Sciubba, University Niccolò Cusano, Italy

期刊发表涵盖能源动力工程、技术开发以及能源政策经济管理等相关领域的最新研究成果，目前已被SCIE (Web of Science)、Scopus、Ei Compendex 等多个权威数据库收录。

2025 Impact Factor	3.9
2025 CiteScore	8.3
Time to First Decision	16.7 Days
Acceptance to Publication	3.5 Days