Advances in Low Carbon and Artificial Intelligence in Power Energy System: 2nd Edition
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F1: Electrical Power System".
Deadline for manuscript submissions: closed (15 April 2026) | Viewed by 3764
Special Issue Editors
Interests: low-carbon technique in power energy; numerical modeling and visualization monitoring systems; energy saving and pollution control in power plants
Special Issues, Collections and Topics in MDPI journals
Interests: digital and intelligent regulation of new working fluid cycles; performance optimization of thermodynamic systems; intelligent control theory
Special Issues, Collections and Topics in MDPI journals
Interests: efficient utilization and transformation of thermal energy; waste heat recovery; fault detection and diagnosis in power energy systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Regarding the long-term objective of carbon neutrality, traditional power energy technologies including coal-fired power plants and gas turbine combined cycles will play a new role in the power grid. Considering the development of renewable energies, such as solar and wind power, power energy systems, which have a strong ability to accommodate renewable energy, are widely used to achieve power balance in power grids.
In terms of the uncertainty of renewable energy, it is necessary to operate power energy systems under variable conditions. In order to achieve the objectives of low carbon use, economy, and speediness, artificial intelligence algorithms are introduced in the optimal operation of power energy systems. Undoubtedly, both renewable energy and artificial intelligence technologies have become the key to achieve the objective of low carbon for power energy systems.
This Special Issue aims to present the most recent advances related to the theory, design, modelling, numerical simulation, application, optimization, dynamic characteristics, performance assessment, and control of low-carbon and artificial intelligence technologies in power energy systems.
We invite you to bring us your contributions on topics including, but not limited to, the following:
- Advanced power energy systems;
- Renewable energy technologies;
- Carbon neutrality;
- Artificial intelligence;
- Optimization algorithms;
- Operating strategy on power energy systems;
- Dynamic modelling;
- Performance assessment;
- Supercritical CO2 cycle;
- Numerical modelling;
- Visualization monitor systems;
- Energy saving;
- Pollutant control;
- Intelligent control;
- Energy storage systems.
Prof. Dr. Lingling Zhao
Dr. Yue Cao
Dr. Rui Guo
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
- low carbon
- artificial intelligence
- power energy systems
- pollution control
- energy saving
- renewable energy
- optimization operation
- fault diagnosis and intelligent operation and maintenance
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