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Advanced Application for Renewable Energy Sources: Modelling, Management Control, Data Monitoring, Health Management, Design and Improvement

This special issue belongs to the section “A: Sustainable Energy“.

Special Issue Information

Dear Colleagues,

Renewable Energy Sources (RESs) are fast developing as a viable alternative to fossil fuels in the face of global economic instability, climate change, and increased energy consumption. Scientists have been discovering, developing, and modeling various RE technologies in order to improve their performance. Although some RE generators have a nonlinear characteristic in terms of power output as a function of weather conditions, studying and analyzing diverse modes have become a scientific and technological problem. A variety of characteristics must be satisfied in order to ensure the stability and security of RES-based electric power systems such as wind turbines, solar power systems, tidal turbines, and fuel cell generators. The connected RES to the electrical grid needs several operations such as optimization, fault diagnosis and digitalization of the system to be smart. The smart grids provide a high stability of the injected electrical power from RES to small grids. In this regard, modelling, forecasting, management control of hybrid systems, data acquisition, monitoring and fault diagnosis under variable weather conditions are of paramount importance. This Special Issue aims to encourage researchers and practitioners to share and exchange their original and high-quality articles (new theories, methods, techniques, and applications) focusing on innovative renewable energy system modelling, control management and monitoring, forecasting, including energy efficiency improvement and verification. Original research and review articles discussing state-of-the-art research are welcome. The submitted manuscripts for this Special Issue will be peer-reviewed before publication. Potential topics include but are not limited to the following:

  • Modelling and characterization of renewable energy systems;
  • Electronic component diagnosis;
  • Fault-tolerant control strategies;
  • Fault detection and diagnosis of renewable energy systems;
  • Digitalization of renewable energy systems;
  • IoT and Industry 4.0-based sensor technology;
  • Sensors, data acquisition, analysis and monitoring;
  • Advanced optimization and control management;
  • Advanced forecasting methods;
  • Control optimization and stabilization of storage systems;
  • Advanced control strategies for electrical machines in renewable energy applications;
  • Artificial intelligence techniques in smart grids and renewable energy systems.

Dr. Mohamed Louzazni
Prof. Dr. Marco Mussetta
Prof. Dr. Luis M. Fernández-Ramírez
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

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. Energies 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 2600 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.

Keywords

  • renewable energy sources
  • variable conditions
  • advanced applications
  • modelling
  • forecasting
  • management control
  • data monitoring
  • fault diagnosis
  • smart grids
  • energy harvesting

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Energies - ISSN 1996-1073