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Artificial Intelligence in Data Science For Energy Management in Sustainability

This special issue belongs to the section “B: Energy and Environment“.

Special Issue Information

Dear Colleagues,

This Special Issue focuses on the use of Artificial Intelligence and Data Science methods for a better understanding of phenomena related to energy production and consumption and any kind of impact on environment and sustainability. Original contributions are welcomed but are not limited to renewable energies, global transnational studies, and spatiotemporal modelling, including all steps from the entire Data Science process such as pre-processing, postprocessing, or the relationship between decision support and data science results. Methodological contributions, real applications, or reviews exploring the current challenges in sustainability related to the state-of-the-art in energy and how Artificial Intelligence and Data Science can help are welcomed.

Prof. Dr. Karina Gibert
Guest Editor

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

  • artificial intelligence 
  • data science 
  • data mining 
  • sustainability 
  • energy management

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Energies - ISSN 1996-1073