Special Issue "Improving Energy Efficiency through Data-Driven Modeling, Simulation and Optimization"
Deadline for manuscript submissions: closed (13 January 2021) | Viewed by 11100
We are inviting submissions to a Special Issue of the Energies Journal on the subject area of “Improving Energy Efficiency through Data-Driven Modeling, Simulation, and Optimization”. Rising energy costs and the effect of greenhouse gases stimulate the need for more efficient energy systems. The increase of computational power combined with advanced modeling and simulation tools makes it possible to derive innovative solutions that can reduce the ecological footprint. This Special Issue focuses on novel contributions that are based on data-driven approaches, machine learning, and artificial intelligence for modeling, simulation, and optimization of energy systems.
Topics of interest for publication include, but are not limited to:
* Non-intrusive load monitoring of energy consumption in buildings;
* Data-driven modeling approaches for energy prediction and forecasting;
* Energy modeling using neural architectures and deep learning;
* Advanced decision making using machine learning or artificial intelligence;
* Energy flexibility assessment, demand prediction, and load balancing for smart grids;
* Reinforcement learning techniques for energy management and optimization;
* Simulation-based multiobjective optimization for energy and buildings;
* Optimization and advanced heuristics for intelligent or adaptive systems.
Prof. Dr. Dirk Deschrijver
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 2200 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.
- load monitoring
- energy forecasting
- energy modeling
- machine learning
- smart intelligent systems
- energy optimization