Hybrid Systems Energy Flow Prediction, Optimization and Real Time Management

Dear Colleagues,

In recent years, the management of hybrid energy systems has emerged as a pivotal focus for advancing distributed generation, integrating green energy production, and cultivating smart communities. This extends to the establishment of sustainable mobility systems, encompassing critical elements such as charging infrastructure, hybrid vehicles, and the latest innovations in smart, autonomous, and collaborative agribots.

From an energy perspective, these systems represent a hybrid paradigm, necessitating effective management of their energy sources and storage systems to enhance autonomy, efficiency, and their interaction with the electric grid.

In this context, real-time energy management systems play a vital role in regulating energy sources and meeting power demands. Furthermore, the utilization of machine learning-based and optimization algorithms facilitates the optimization of generation systems, aligning them with predefined objectives, constraints, and application scenarios.

The development and implementation of real-time energy management systems for hybrid systems require access to appropriate datasets, a thorough problem formulation, predictive system modelling, and the implementation of optimization algorithms and decision-making systems.

Additionally, forecasting the state of energy storage systems, including battery and fuel cell charge status and health, is fundamental for preventing faults, predicting system autonomy, and enhancing sustainability and operational effectiveness.

Topics of interest for publication include, but are not limited to, the following:

• Proposals for robust and effective problem formulations for the real-time energy management of hybrid systems.
• Prediction systems for energy systems.
• Optimization algorithms for energy management.
• Real-time decision-making systems for energy management.
• Grid-connected charging systems, including fast, medium, slow, and smart charging, along with optimization strategies.
• The implications of plug-in electric vehicles, smart communities, smart homes, and smart buildings on the electric grid from an energy management perspective.
• Demonstration and pilot projects

Dr. Stefano Leonori
Guest Editor

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.

• energy management system
• prediction systems for distributed energy generation
• prediction systems for load scheduling and control
• smart homes
• smart buildings
• hybrid systems
• hybrid vehicles
• smart charging
• energy communities
• agribot systems
• battery state of charge
• battery state of health