Special Issue "Intelligent Control in Energy Systems"
Deadline for manuscript submissions: 30 April 2019
Prof. Dr. Anastasios Dounis
Department of Industrial Design and Production Engineering, University of West Attica, University Campus 2, P. Ralli & Thivon 250, 12244, Egaleo-Athens, Greece
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Interests: computational intelligence; intelligent control; intelligent buildings; renewable energy polygeneration; smart microgrids
Energy systems (ES) are a complex and constantly evolving research area. Because energy systems are multi-layered and distributed, there is a growing interest in integrating heterogeneous entities (energy sources, energy storage, micro-grids, grid networks, buildings, electrical vehicles, etc.) into distribution systems. The challenge in handling the vast volume of information is the requirement the use of modern efficient management control strategies such as intelligent control technologies.
Intelligent control (IC) describes a class of control techniques that use various artificial intelligence techniques such as neural network control, Bayesian control, fuzzy logic control, neuro-fuzzy control, evolutionary computation, machine learning and intelligent agents. IC systems are very useful when no mathematical model is available a priori. IC is inspired by the intelligence and genetics of living beings.
IC, communications infrastructure and wireless networking play an important role in a smart grid network in achieving reliable, efficient, secure, distribution, cost-effective generation and consumption. IC on energy storage devices provide reliability and economic impacts on the energy systems.
Buildings consume a large portion of the world’s energy and they are a source of greenhouse gas emissions. The concept of sustainable and zero energy buildings is emerging as an important area for the smart micro-grid initiative. In addition, effective energy management is becoming more feasible using the innovative smart micro-grid technologies and IC. These changes have resulted an environment of high complexity, uncertainty and imprecision. The IC can play a remarkable and vital role in handling a significant part of this high uncertainty and nonlinearity by providing new smart solutions for a more efficient and reliable operation of ESs.
This Special Issue is focused on to bring together innovative developments and synergies in the fields of intelligent control and energy systems.
Potential topics include, but are not limited to:
- Energy management and IC in energy micro-grids;
- ESs modeling and IC;
- IC and optimization for zero energy buildings;
- Evolutionary control in ESs;
- IC in hybrid ESs of isolated areas;
- Fuzzy logic control in ESs;
- Intelligent multiagent control systems in ESs;
- Artificial neural networks for control in ESs;
- IC of holonic ESs;
- IC in energy storage systems;
- IC in sustainable smart ESs;
- Fault diagnosis and IC in ESs;
- Chaos control in ESs;
- Bayesian control in renewable energy systems;
- Neuro-fuzzy control in ESs;
- Machine learning in ESs;
- IC in distributed electrical energy generation system;
- IC in smart grid network;
- IC and ESs stability;
- IC and demand side forecasting in ESs;
- IC and uncertainty analysis of ESs.
Prof. Dr. Anastasios Dounis
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 papers will be 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 monthly 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 1600 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.
- Intelligent control
- Evolutionary control
- Fuzzy logic control
- Energy systems
- Machine learning
- Artificial neural network
- Intelligent energy management systems
- Intelligent buildings
- Energy storage systems
- Smart grid network