期刊名：Electricity (ISSN 2673-4826)

期刊主页：https://www.mdpi.com/journal/electricity

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1. Renewable Electricity and Green Hydrogen Integration for Decarbonization of “Hard-to-Abate” Industrial Sectors

可再生能源与绿氢协同利用推动“难减排”工业部门脱碳

http://www.mdpi.com/2673-4826/5/3/24

Franco, A.; Rocca, M. Renewable Electricity and Green Hydrogen Integration for Decarbonization of “Hard-to-Abate” Industrial Sectors. Electricity 2024, 5, 471–490. https://doi.org/10.3390/electricity5030024

2. Enhancing Power Quality in a PV/Wind Smart Grid with Artificial Intelligence Using Inverter Control and Artificial Neural Network Techniques

基于人工智能与逆变器控制及人工神经网络技术的风光智能电网电能质量提升

https://www.mdpi.com/2673-4826/6/2/35

Zulu, M.L.T.; Sarma, R.; Tiako, R. Enhancing Power Quality in a PV/Wind Smart Grid with Artificial Intelligence Using Inverter Control and Artificial Neural Network Techniques. Electricity 2025, 6, 35. https://doi.org/10.3390/electricity6020035

3. Advanced Multivariate Models Incorporating Non-Climatic Exogenous Variables for Very Short-Term Photovoltaic Power Forecasting

融合非气候性外生变量的先进多变量模型用于光伏功率超短期预测

https://www.mdpi.com/2673-4826/6/2/29

Fraga-Hurtado, I.; Gómez-Sarduy, J.R.; García-Sánchez, Z.; Hernández-Herrera, H.; Silva-Ortega, J.I.; Reyes-Calvo, R. Advanced Multivariate Models Incorporating Non-Climatic Exogenous Variables for Very Short-Term Photovoltaic Power Forecasting. Electricity 2025, 6, 29. https://doi.org/10.3390/electricity6020029

4. Forecasting Electricity Demand in Renewable-Integrated Systems: A Case Study from Italy Using Recurrent Neural Networks

可再生能源集成系统中的电力需求预测——以意大利为例的循环神经网络研究

https://www.mdpi.com/2673-4826/6/2/30

Franco, A.; Pagliantini, C. Forecasting Electricity Demand in Renewable-Integrated Systems: A Case Study from Italy Using Recurrent Neural Networks. Electricity 2025, 6, 30. https://doi.org/10.3390/electricity6020030

5.An Optimized H5 Hysteresis Current Control with Clamped Diodes in Transformer-Less Grid-PV Inverter

基于钳位二极管的优化H5滞环电流控制在无变压器型光伏并网逆变器中的应用

https://www.mdpi.com/2673-4826/6/1/1

Phuyal, S.; Shrestha, S.; Sharma, S.; Subedi, R.; Panjiyar, A.K.; Gautam, M. An Optimized H5 Hysteresis Current Control with Clamped Diodes in Transformer-Less Grid-PV Inverter. Electricity 2025, 6, 1. https://doi.org/10.3390/electricity6010001

6. Grid-Forming: A Control Approach to Go Further Offshore?

构网型控制：迈向深远海风电的一种控制方法？

https://www.mdpi.com/2673-4826/6/1/4

Alves, R.; Knuppel, T.; Egea-Àlvarez, A. Grid-Forming: A Control Approach to Go Further Offshore? Electricity 2025, 6, 4. https://doi.org/10.3390/electricity6010004

7. Fourier Feature-Enhanced Neural Networks for Wind Turbine Power Modeling

傅里叶特征增强型神经网络用于风力发电机组功率建模

https://www.mdpi.com/2673-4826/6/4/70

Aravanis, T.; Papadopoulos, P.; Georgikos, D. Fourier Feature-Enhanced Neural Networks for Wind Turbine Power Modeling. Electricity 2025, 6, 70. https://doi.org/10.3390/electricity6040070

8. A Review of Photovoltaic Waste Management from a Sustainable Perspective

可持续视角下的光伏废弃物管理研究综述

https://www.mdpi.com/2673-4826/5/4/36

Babaei, A.; Nasr Esfahani, A. A Review of Photovoltaic Waste Management from a Sustainable Perspective. Electricity 2024, 5, 734–750. https://doi.org/10.3390/electricity5040036

9. The Role of Renewable Energy Policy and R&D in Renewables Diffusion

可再生能源政策与研发投入在技术扩散中的作用

https://www.mdpi.com/2673-4826/5/3/26

10. Increasing Renewable Energy Penetration on Low-Voltage Networks: An Expert Knowledge Approach

基于专家知识的低压配电网可再生能源渗透率提升研究

https://www.mdpi.com/2673-4826/5/4/40

【特刊征稿】

英文题目：Advancing Energy Systems for a Decarbonized Future: Renewable Integration, Smart Grids, and Optimization Strategies

中文题目：推进能源系统发展，迈向脱碳未来：可再生能源集成、智能电网与优化策略

收稿主题包括但不限于：

人工智能

电力系统控制

需求响应

分布式能源资源

储能系统

能源系统规划

微电网

零能耗系统

优化技术

光伏（PV）

定价机制可再生能源

智能电网

风力发电

客座编辑：Dr. Changgi Min，Joongbu University, Republic of Korea；

Dr. Heejin Kim，Netzero Lab, Republic of Korea

投稿截止日期：2026年7月31日

特刊链接：

https://www.mdpi.com/journal/electricity/special_issues/F162RV696R

【期刊简介】

Electricity (ISSN 2673-4826) 创刊于2020年，旨在为电气工程领域的高影响力研究提供一个先进的交流平台。目前已被ESCI (Web of Science)、Scopus、DOAJ、EBSCO等数据库收录。期刊发文范围包括但不限于电力基础设施及应用、电力系统、智能电网、电力储存与转换、电动交通、绿色电力、电力市场和经济等。

主编：Andreas Sumper教授, Universitat Politecnica de Catalunya, Spain

我们欢迎本领域的专家学者踊跃投稿，如有意向，敬请不吝联系 Electricity 编辑部 (electricity@mdpi.com)：https://www.mdpi.com/journal/electricity