Intelligent Control and Optimization in Energy System
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".
Deadline for manuscript submissions: 31 August 2024 | Viewed by 191
Special Issue Editors
Interests: data science; AI; machine learning; smart control; energy ICT
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the era of the Fourth Industrial Revolution, as the climate change crisis accelerates, Many researchers around the world are actively harnessing the potential of AI-based technologies to address the multifaceted challenges posed by climate change.
This Special Issue encompasses a wide range of technological development topics focused on the objectives of reducing energy consumption and optimizing energy generation. These efforts span various domains, including urban environments, industrial facilities, buildings, plant systems, surveillance and security, renewable energy systems, and various other large-scale infrastructures.
Within the domain of energy AI research, there is a deliberate emphasis on leveraging statistical methodologies to extract invaluable insights from extensive and intricate datasets that we have gathered. This strategic application of statistical expertise facilitates effective problem-solving and the gradual evolution of intelligent control technologies and optimization strategies. Additionally, an unwavering commitment to machine learning research propels the pursuit of practical applications across diverse energy systems, complemented by the advancement of intelligent control technologies.
We strongly encourage researchers from diverse fields within the journal's scope to contribute research papers that highlight the latest developments in their research area. Additionally, we invite researchers to collaborate with relevant experts and colleagues in preparing these contributions. Topics of interest for this Special Issue include, but are not limited to:
- Energy AI and big data analysis;
- Building energy efficiency;
- Renewable energy systems;
- Nuclear energy systems;
- Optimization in energy management;
- HVAC/Facilities control management;
- Life cycle cost analysis in energy system;
- Energy retrofit;
- Smart systems in built environment;
- Suveillance and security;
- Fault diagnosis;
- Interdisciplinary energy research.
Dr. Dongjun Suh
Dr. Hyunseok Kim
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. Applied Sciences 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.
Keywords
- energy AI
- data science
- smart systems
- interdisciplinary study
