Advanced Forecasting Techniques and Methods for Energy Systems
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".
Deadline for manuscript submissions: 10 October 2024 | Viewed by 61
Special Issue Editors
Interests: energy engineering; hybrid systems; sustainable development; renewable energy; photovoltaic systems; wind systems; small modular reactors; nuclear science; energy scenario forecasting; energy scenario modelling; statistical techniques
Special Issue Information
Dear Colleagues,
The transition towards environmentally friendly power systems is driving an increase in the production of clean energy. Distributed energy resources are increasingly vital in modern power and energy systems, offering benefits such as reduced emissions and enhanced security. However, their variability and uncertainty demand greater flexibility in future energy systems. Consequently, prediction plays a crucial role in asset and resource management across various fields, including energy commodities. Given the stochastic nature of supply and demand, effective scheduling and control require the performance of forecasting. This Special Issue aims to showcase forecasting techniques, emphasizing machine learning and artificial intelligence alongside statistical forecasting techniques and hybrid methodologies. Papers that focus on the development and applications of different analysis tools, from microgrids to continental scale systems, and focus on the planning and management of renewable energy systems, energy portfolios, markets and natural resources are welcome. Original research and review articles that contribute to advanced forecasting and optimization in energy systems are welcome.
Dr. César Berna-Escriche
Dr. Paula Bastida-Molina
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. Applied Sciences 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 2400 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
- forecasting methods
- optimization techniques
- modelling
- statistical analysis
- artificial intelligence
- machine learning
- renewable resources
- meteorological data analysis
- demand-side management
- electric vehicle
