New Trends in Power Generation for Modern Renewable Energy

Dear Colleagues,

We would like to invite you to submit your original research, overview papers, and reviews to this Special Issue of Energies on “New Trends in Power Generation for Modern Renewable Energy”.

The current global context in the energy sector, along with intense efforts to combat global warming through international policies, has resulted in innovative solutions that may cover the energy demands of all sectors.

Humans have always been looking for viable and sustainable alternatives to traditional energy resources, and now the implementation of renewable energy-based technologies has become imperative.

Classical fossil fuels, which have a major contribution to environmental pollution, will be gradually phased out over time in favour of clean and renewable energy sources.
In the context of the European Energy Directives for the period 2020-2035 and the perspectives for 2050, the next generations of energy systems and associated technologies based on modern renewable energy have a high potential to reduce the energy consumption of conventional fuels, they implicitly have a significant impact in reducing pollution and greenhouse gas emissions, generating clean energy with decreasing financial effort.

In light of the European energy directives 2020-2035 and 2050 perspectives, the next-generation energy systems and related modern renewable energy-based technologies have a high potential to reduce the energy consumption of traditional fuels, a significant impact on reducing pollution and greenhouse gases, generating clean energy with less financial effort.

This Special Issue aims to present and disseminate the most recent advances related to the theory, algorithm, design, modelling, application, assessment, control, condition monitoring, optimal planning, development and implementation strategies and policies, challenges and way forward of power generation for modern renewable energy. 

Topics of interest for publication include, but are not limited to:

• Endless renewable energy potential (solar, wind, oceanic, nuclear, geothermal, bioenergy, hydrogen energy, tritium energy);
• Advances and applications of renewable energy;
• Clean energy conversion technologies;
• Renewable energy and energy storage systems;
• Optimal consumption planning;
• Smart grids and microgrids;
• Clean energy in a circular economy;
• Application of renewable energy technologies;
•  Machine learning models in forecasting of virtual power plant;
• Digital Twin technology applications for power generation of modern renewable energy; 
• AI-enabled energy management systems.

Dr. Raluca Andreea Felseghi
Dr. Paula V. Ungureşan
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 100 words) can be sent to the Editorial Office for announcement on this website.

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.

• artificial neural networks
• digital twin technology
• digitalization of renewable energy
• distributed power generation
• energy automation and smart grid
• energy management
• green technologies and sustainable development
• hybrid energy storage
• hybrid power systems
• renewable energy sources (RES)
• impact of RES on the environment
• intelligent systems and materials
• machine learning
• microgrid modelling
• network security and adequacy
• power system reliability
• social and economic aspects of RES