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Numerical Modeling and Machine Learning Techniques 2023

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: closed (30 April 2024) | Viewed by 1466

Special Issue Editors


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Guest Editor
Department of Mechanical Engineering, University of La Rioja, 26004 Logroño, La Rioja, Spain
Interests: finite element analysis; water and wastewater treatment technologies; bioremediation; environmental modelling; biomechanics and softcomputing
Special Issues, Collections and Topics in MDPI journals

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Co-Guest Editor
Department of Mechanical Engineering, University of La Rioja, 26004 Logroño, La Rioja, Spain
Interests: biodiesel; waste cooking oil; water waste treatment; bioremediation; biosorption; adsorption; heavy metals remove; biomass
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The modeling and optimization of processes or products is today one of the most outstanding points for the advancement of today’s society. Numerical modeling and machine learning techniques are undoubtedly among the most powerful methods and techniques for modeling and optimizing processes and products, reducing their cost of design and subsequent manufacturing.

The main aim of this Special Issue on “Numerical Modeling and Machine Learning Techniques” is to present new knowledge and trends using numerical modeling or machine learning techniques for modeling and optimizing processes or products. Numerical modeling techniques of interest in this Special Issue include but are not limited to finite element analysis, the finite volume method, the finite difference method, the boundary element method, discrete element methods, multibody simulation, and computational fluid dynamics. Classification, regression, and optimization algorithms could be considered in developing machine learning or Artificial Intelligence techniques.

Dr. Rubén Lostado Lorza
Dr. Marina Corral Bobadilla
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

  • energy and power consumed during modeling and/or optimization of processes and products
  • temperature field and strain energy
  • current, voltage, joule effect, and electric power
  • heat transfer by radiation, convection, and conduction
  • magnetic flux and eddy currents
 

Published Papers (1 paper)

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Research

14 pages, 1583 KiB  
Article
The Role of the Energy Sector in Contributing to Sustainability Development Goals: A Text Mining Analysis of Literature
by Luísa Carvalho and Márcia R. C. Santos
Energies 2024, 17(1), 208; https://doi.org/10.3390/en17010208 - 30 Dec 2023
Viewed by 1054
Abstract
This text mining study delves into the multifaceted contributions of the energy sector to Sustainable Development Goals (SDGs). By analyzing 363 papers, we uncover key themes, trends, and challenges shaping the intersection of energy and sustainability. The findings reveal that the energy sector [...] Read more.
This text mining study delves into the multifaceted contributions of the energy sector to Sustainable Development Goals (SDGs). By analyzing 363 papers, we uncover key themes, trends, and challenges shaping the intersection of energy and sustainability. The findings reveal that the energy sector plays a pivotal role in achieving SDGs such as affordable and clean energy (SDG 7) and climate action (SDG 13). Critical issues encompass governance, policy frameworks, and technological innovations. This research underscores the need for interdisciplinary collaboration and holistic approaches in addressing complex energy-related sustainability challenges. The insights derived here provide guidance to policymakers, researchers, and stakeholders seeking to harness the energy sector’s potential for a more sustainable and equitable future. Full article
(This article belongs to the Special Issue Numerical Modeling and Machine Learning Techniques 2023)
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