Special Issue "Towards Optimization: Energy Monitoring, Modelling and Management"

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "Electrical Power and Energy System".

Deadline for manuscript submissions: 30 June 2020.

Special Issue Editors

Prof. Miltiadis D. Lytras
E-Mail Website
Guest Editor
1. School of Business, Deree—The American College of Greece, 6 Gravias Street GR-153 42 Aghia Paraskevi, Athens, Greece
2. Effat University, Jeddah, Saudi Arabia
Interests: cognitive computing; artificial intelligence; data science; bioinformatics; innovation; big data research; data mining; emerging technologies; information systems; technology driven innovation; knowledge management; semantic web
Special Issues and Collections in MDPI journals
Dr. Kwok Tai Chui
E-Mail Website
Guest Editor
Department of Technology, School of Science and Technology, The Open University of Hong Kong, Hong Kong SAR
Interests: big data; bioinformatics; computational intelligence; data science; energy monitoring and management; intelligent transportation; optimization; semantic web
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

In the 21st Century, there has been extensive discussion on the concepts of smart cities, intelligence, autonomous facilities, and efficiency. These concepts share the same goal: optimization, which aims to improve the components, devices, systems and architectures in order to enhance performance in terms of indicators like accuracy, complexity, robustness, generalisability, and scalability.

When it comes to energy perspectives, optimization is required from the following:

  • Energy monitoring: it is related to the system and architecture that collect and store the energy-related data, e.g., smart meter data, temperature and humidity readings. Very often, existing systems and architecture have to be upgraded to fulfil the contemporary requirements of granularity and computation power;
  • Energy modelling: study and model the data to create insight and recommendation to customers, users and stakeholders. Particularly, the large volume of data requires advanced machine learning algorithms to address the challenges experienced using traditional methods;
  • Energy management: the insight and recommendation drawn from analytics will be useful to optimize the final decision and execution plan.

This Special Issue will report high-quality research on recent advances in optimization techniques in the fields of energy monitoring, modelling and management (consideration as a whole is welcome), and, more specifically, on state-of-the-art approaches, methodologies and systems for the design, development, deployment and innovative use of those convergence technologies for providing insights into optimization in energy science and engineering. Topics include but are not limited to the following:

  • New theories and applications of optimization algorithms in energy modelling
  • Emerging data science techniques for energy modelling
  • Big data, cloud and IoT platform and architecture for energy monitoring
  • Data quality, privacy and security
  • Shallow learning and deep learning
  • Grid modernization
  • Optimal energy management
  • Smart grid technologies
  • Edge and fog computing
  • Handling of trade-off, near-optimal and globally optimal solutions
  • Multi-objective optimization
  • Parallel computing
  • Case studies and pilot studies

Prof. Miltiadis D. Lytras
Dr. Kwok Tai Chui
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 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 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 1800 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.

Published Papers

This special issue is now open for submission.
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