Applied Optimization in Clean and Renewable Energy: New Trends
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".
Deadline for manuscript submissions: closed (31 March 2021) | Viewed by 45160
Special Issue Editors
Interests: data science; optimization; security
Special Issues, Collections and Topics in MDPI journals
Interests: optimization; applied computational mathematics; OR; stastical simulation
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; computing in mathematics; natural science; engineering and medicine algorithms
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent systems techniques; deep learning algorithms; data science; visual analytics; scheduling and timetabling
Special Issues, Collections and Topics in MDPI journals
2. Laboratory of Systems of Non-Traditional Energy, Federal Scientific Agroengineering Center VIM, 109456 Moscow, Russia
Interests: renewable energy; agroengineering technologies; autonomous power supply; electric transport; three-dimensional modeling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, the environmental pollution become a crisis and the world is facing. The direction of research is towards the utilization of renewable energy which will help in fullfilling the energy demand and also to mitigate the environmental problems. E.g. biomass. Evolutionary algorithms are a collection of the start-of-the-art theoretical research, design challenges, and applications in the field of computer science. Multi-objective optimization is concerned with mathematical optimization problems involving more than one objective function to optimized simultanesouly. It had been applied in many fields of science, including engineering, economics, and logistics where the optimal decisions need to be made trade-offs between the conflicting objectives. Nowadays, a large amount of unstructured heterogenous data powered the demand to extract useful insights in an automatic, reliable and scalable way. Machine learning, which aims to construct algorithms that can learn from and make predictions on data intelligently, has attracted increasing attention in the recent years and has been successfully applied to many data analytical tasks, such as image processing, face recognition, video surveillance, document summarization, etc. Since a lot of machine learning algorithms formulate the learning tasks as linear, quadratic or semi-definite mathematical programming problems, optimization becomes a crucial tool and plays a key role in machine learning and multimedia data analysis tasks. On the other hand, data science, data analytics are not simply the consumers of optimization technology but a rapidly evolving interdisciplinary research field that is itself promoting new optimization ideas, models, and solutions.
This special issue aims to seek the high-quality papers from academics and industry-related researchers in the areas of applied mathematics, renewable energy systems, machine learning, artificial intelligence, pattern recognition, data mining, multimedia processing, and big data to show the most recently advanced methods, e.g. deep neural networks and learning systems, in optimization and machine learning for parallel data computations.
Prof. Ugo Fiore
Prof. Dr. Elias Munapo
Dr. Pandian Vasant
Dr. J. Joshua Thomas
Dr. Vladimir Panchenko
Guest Editors
Manuscript Submission Information
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Keywords
- Energy and power systems
- Intelligent systems
- Evolutionary Computation
- Distributed/Parallel Algorithms in Machine Learning
- Graph based learning
- Imbalanced Data Learning
- Particle Swarm Optimization
- Artificial Intelligence
- Reinforcement Learning
- Robotics
- Deep Learning Algorithms
- Machine translation
- Natural Language Processing
- Fuzzy Logic
- Dynamic Programming
- Multi-Objective Optimization
- Solar Energy
- Applied Statistics
- Operational Research
- Trasportation research
- Optimization
- Industry 4.0
- Smart Cities
- 5G Network
- Sustainable computing
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