Applications of Machine Learning and Soft Computing in Energy Use Forecasting

Dear Colleagues,

The aim of this Special Issue is to present recent developments in the application of soft computing techniques using novel machine learning algorithms to forecast energy use.

Energy load forecasting has been proven to play a significant role in energy planning and the reduction of consumption. Moreover, the increasing economic and ecological energy costs raise the need to develop new techniques and novel tools which could help in better understanding energy use behavior and finding ways to reduce energy consumption. Nonetheless, there is the need to monitor various variables affecting energy consumption and accurately forecast energy use.

The Special Issue is devoted to original contributions in machine learning algorithms and soft computing techniques applied in energy use forecasting. We invite original papers that showcase innovative models and algorithms, deployed case studies, experimental research, or state-of-the-art reviews on this trajectory. Potential topics include but are not limited to supervised, evolutionary or hybrid learning algorithms, deployment of novel applications on energy use forecasting, explainability models for energy forecasting, comparative analysis of various soft computing, and artificial intelligence models, as well as decision support systems.

Submit your paper and select the Journal “Energies” and the Special Issue “Applications of Machine Learning and Soft Computing in Energy Use Forecasting” via: MDPI submission system. Please contact the special issue editor (spring.deng@mdpi.com) for any queries. Our papers will be published on a rolling basis and we will be pleased to receive your submission once you have finished it.

Prof. Dr. Elpiniki I. Papageorgiou
Dr. Katarzyna Poczęta
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 250 words) can be sent to the Editorial Office for assessment.

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.