Advanced Techniques for the Modeling and Simulation of Energy Networks
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".
Deadline for manuscript submissions: closed (30 November 2021) | Viewed by 14466
Special Issue Editors
Interests: modeling and simulation of circuits and systems; complex systems and graph-based approaches; uncertainty quantification; behavioral modeling; electromagnetic compatibility and signal integrity; compact modeling of electrical and gas networks; switching power converters; power line communication channels
Interests: surrogate modeling; machine learning; inverse models; uncertainty quantification; modeling and simulation of dynamical systems; switching power converters; electromagnetic compatibility
Special Issue Information
Dear Colleagues,
The need for a “smarter” energy grid infrastructure, with large-scale integration of renewables and a better demand-response mechanism, is leading to an ever-increasing complexity of next-generation energy networks. These networks are characterized by the increasing role of the intertwinement between different domains (e.g., electrical and gas) and a number of peculiar features, including large size, the interconnection of heterogeneous objects (e.g., distributed renewable sources), and a stochastic behavior due to the fluctuating customer demand and other external conditions affecting power generation and consumption. All the above features make the design, the optimization, and the monitoring of energy networks extremely challenging, thus motivating the demand for advanced modeling and simulation approaches able to accurately and inexpensively predict the network behavior for functional applications and reliability assessment. This Special Issue is tailored to contributions bringing together expertise from multiple domains, ranging from the generation of compact surrogates of electrical power networks to the application of machine learning and data-driven techniques in energy demand prediction or uncertainty quantification, as well as including possible novel concepts for high-level (e.g., graph-based) approaches for the analysis of a multi-energy scenario.
As the Guest Editors, we encourage scientists and application engineers to submit theoretical and applied contributions, as well as review articles, to this Special Issue of Energies on the subject “Advanced Techniques for the Modeling and Simulation of Energy Networks”. Topics of interest for publication include but are not limited to advanced simulation and modeling methods for complex energy problems, soft computing and artificial intelligence in energy systems, machine learning, multi-energy systems, co-simulation, distributed energy resources, and energy demand prediction.
Prof. Dr. Igor Simone Stievano
Dr. Riccardo Trinchero
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.
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
- Multi-energy networks
- Distributed energy resources
- Design and optimization in energy systems
- Parametric Models
- Co-simulation
- Energy forecasting (production, consumption, and demand)
- Machine learning
- Uncertainty quantification.
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.