New Progress in Electricity Demand Forecasting
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".
Deadline for manuscript submissions: 15 April 2025 | Viewed by 3586
Special Issue Editors
Interests: electrical engineering; energy storage systems; integration of distributed generation; modeling of renewable power plants; model validation; solar photovoltaics; wind power
Interests: electrical engineering; energy storage systems; integration of distributed generation; modeling of renewable power plants; model validation; solar photovoltaics; wind power
Special Issues, Collections and Topics in MDPI journals
Interests: hybrid power systems; power engineering computing; SCADA systems; computerised monitoring; control engineering computing; fuzzy control; hydrogen production; photovoltaic power systems; power generation control; power system control; power system measurement; programmable controllers; renewable energy sources; sensors; wind power plants
Special Issue Information
Dear Colleagues,
The world is currently facing a transition from a fossil-fuel-based system to a new scenario in which renewable energies are used in an increasing proportion. This transition will make countries without traditional fuel sources less energy dependent and will also bring energy to users that currently have a more limited access. The change is challenging and the consequences for climate, society and market relations are tremendous, although many issues still have to be overcome to make this process go as smoothly as possible.
One very important task that needs to be achieved to favor a suitable implementation of energy models is to develop and implement trustable forecasts of energy demand all over the world; this is the aim of the present Special Issue.
This Special Issue is related to analyzing, comparing and suggesting energy demand forecasting systems, and within this frame, three questions are to be tackled:
1) The importance of the demand analysis;
2) More trustable forecasting techniques;
3) How to reduce the demand analyzed and forecast in the previous points, through the implementation of actions aimed at improving energy efficiency as well as through the implementation of self-consumption facilities.
Prof. Dr. Diego Carmona-Fernández
Dr. Andres Honrubia-Escribano
Prof. Dr. Manuel Calderón Godoy
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.
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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: Performance of self-consumption facilities based on renewable energy: A review.
Authors: Emilio Gomez-Lazaro
Affiliation: Renewable Energy Research Institute, DIEEAC-ETSIIA, Campus Universitario s/n, Universidad de Castilla-La Mancha, 02071 Albacete, Spain
Abstract: Keywords: electricity demand, energy, self-consumption, solar photovoltaic, wind energy
