Advanced Control Methods and Artificial Intelligence Applications in Grid-Connected Inverters

Dear Colleagues,

This Special Issue aims to provide a comprehensive platform for the exploration and dissemination of cutting-edge research using advanced control methods and artificial intelligence (AI) applications in grid-connected inverters. We welcome contributions that showcase the practical application of advanced control and AI methods in grid-connected inverters related to the smart grid across diverse engineering disciplines. The scope encompasses, but is not limited to, grid-connected inverters, microgrid, distribution networks, and transmission networks. This Special Issue seeks to highlight novel aspects of advanced control and AI methods utilized in real-world grid-connected inverter applications, emphasizing innovation, efficiency, and advancements in the field.

1. Showcasing transformative applications: We seek to showcase how advanced control and AI methods are transforming traditional grid-connected inverter practices, pushing the boundaries of what is achievable. Contributions should emphasize practical applications of advanced control and AI methodologies in solving real-world engineering challenges, providing insights into the transformative impact on industries.
2. International forum for collaboration: By providing an international forum, this Special Issue aims to foster collaboration among researchers, practitioners, and innovators in the field of advanced control, AI methods, and engineering. It encourages the exchange of ideas, methodologies, and best practices, contributing to global dialogue on the practical implementation of advanced control and AI methods in grid-connected inverter engineering.
3. Validation and replicability: Papers submitted to this Special Issue should not only present novel applications of advanced control and AI methods in engineering but also validate these applications using public datasets. This emphasis on validation enhances the credibility of the research and promotes the replicability of results, facilitating further advancements in grid-connected inverters.

This Special Issue contributes to the existing literature on "Advanced Control Methods and Artificial Intelligence Applications in Grid-Connected Inverters" by offering a focused and timely collection of research articles. While existing literature provides foundational knowledge, this Special Issue seeks to expand on that foundation by presenting recent advancements, practical implementations, and validated applications of advanced control and AI methods across various engineering domains in grid-connected inverters. By doing so, it enriches the discourse on the evolving relationship between advanced control/AI methods and engineering, addressing current challenges and providing insights for future research directions.

Dr. Jinrui Tang
Dr. Yuanchao Qiu
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• grid-connected inverters
• machine learning
• smart grids
• engineering innovation
• artificial intelligence
• intelligent automation
• fault detection and diagnosis