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Artificial Intelligence and Machine Learning New Concepts in SMART Energy Systems

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F5: Artificial Intelligence and Smart Energy".

Deadline for manuscript submissions: 30 April 2024 | Viewed by 270

Special Issue Editors


E-Mail Website1 Website2
Guest Editor
Faculty of Management, Czestochowa Institute of Production Engineering, University of Technology, ul. Armii Krajowej 19”B”, 42-200 Częstochowa, Poland
Interests: digitalization; quality management; Industry 4.0; IoT; AI; renewable energy
Special Issues, Collections and Topics in MDPI journals

E-Mail Website1 Website2
Guest Editor
Economics and Informatics Department, Organization and Management Faculty, Silesian University of Technology, 44-100 Gliwice, Poland
Interests: quality management; international business; CSR; organizational culture; Industry 4.0; smart cities; management methods
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Integrating various energy sectors into smart energy systems is considered to be a potential paradigm for offering an all-encompassing and optimal solution for a feasible, reasonably priced, and sustainable energy system in the near future. According to Mathiesen, a smart energy system is one that is powered exclusively by renewable energy, utilizes a sustainable amount of bioenergy, makes use of the system's synergies to enhance efficiency, and lowers prices to make it more accessible. Growing energy use is inextricably linked to both economic growth and increased wellbeing. Relatively new ideas in the fields of energy, artificial intelligence (AI) and machine learning (ML) have the potential to be employed as useful tools in the operation of systems, using previous and anticipated future events to enhance system efficacy. The application of AI in energy systems has garnered increasing attention in recent years. Energy systems include various types of machinery, structures, vegetation, and even intelligent energy (such as electrical grids). In other words, they are any system that requires energy in order to function, preserve a given state, or move energy between points. Possessing a smart management system that can anticipate future events to run grid assets to their maximum capacity or respond to abrupt changes in inputs (such as rising or falling demand) may be extremely helpful when it comes to transmitting or consuming energy.

Dr. Joanna Rosak-Szyrocka
Prof. Dr. Radosław Wolniak
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. 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

  • application of AI and ML for the effective use of energy storage
  • using the Internet of Things to minimize energy consumption, costs and emissions
  • optimization of energy flow
  • smart energy optimization
  • smart energy systems: smart power system control, smart thermal system control, smart cross-sector control, the utilization of clean or renewable energy, the reliability and resilience of energy systems, system integration among multiple energy sectors

Published Papers

This special issue is now open for submission, see below for planned papers.

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Impact of the Internet of Things to minimize energy consumption, costs and emissions for creating Sustainable economic in XXI century
Author: Bhattacharya
Highlights: Internet of Things , cybersecurity , renewable energy , carbon footprints

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