Energy systems rely on forecasts on a wide range of spatial and temporal scales to maintain a reliable and economic supply of energy to consumers. Many of the technologies being deployed to decarbonise energy systems – renewable energy sources, demand flexibility, storage, local markets – complicate forecasting tasks by increasing the energy systems’ dependency on the weather and introducing new consumer/prosumer/producer behaviours. Consequently, system operators and market participants require forecast information of increasing volume and complexity to support decision-making. This may include additional analytics to condense forecast data into actionable decision-support, or automation of some processes.

This Special Issue, “Forecast production and end-use for efficient management of energy systems” invites articles addressing the different perspectives of energy forecasting, and the use of energy forecasts in energy system management, focussing on recent advances in this field. The Special Issue welcomes submissions on methods and models to address all aspects of energy forecasting and forecast end-use, including innovative scientific and technical developments, sound case studies, and reviews.

Guest Editors:

Prof Zita Vale (Polytechnic Institute of Porto, Portugal)
Dr Jethro Browell (School of Mathematics and Statistics, University of Glasgow, UK)

Submission information:

The journal’s submission platform (https://www.editorialmanager.com/segan/default.aspx) is now be available for receiving submissions to this Special Issue. Please refer to the Guide for Authors to prepare your manuscript, and select the article type of "VSI: FORECAST PROD USE" when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage here: http://www.elsevier.com/locate/issn/2352-4677

Timeline:
Online submission open: 15 December 2021
Deadline for submission of full papers: 31 August 2022
Final decision notification: 31 January 2023

Please click here for more information.