Artificial Intelligence and Machine Learning New Concepts in SMART Energy Systems
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F5: Artificial Intelligence and Smart Energy".
Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 293
Special Issue Editors
Interests: digitalization; quality management; Industry 4.0; IoT; AI; renewable energy
Special Issues, Collections and Topics in MDPI journals
Interests: quality management; international business; CSR; organizational culture; Industry 4.0; smart cities; management methods
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Integrating various energy sectors into smart energy systems is considered to be a potential paradigm for offering an all-encompassing and optimal solution for a feasible, reasonably priced, and sustainable energy system in the near future. According to Mathiesen, a smart energy system is one that is powered exclusively by renewable energy, utilizes a sustainable amount of bioenergy, makes use of the system's synergies to enhance efficiency, and lowers prices to make it more accessible. Growing energy use is inextricably linked to both economic growth and increased wellbeing. Relatively new ideas in the fields of energy, artificial intelligence (AI) and machine learning (ML) have the potential to be employed as useful tools in the operation of systems, using previous and anticipated future events to enhance system efficacy. The application of AI in energy systems has garnered increasing attention in recent years. Energy systems include various types of machinery, structures, vegetation, and even intelligent energy (such as electrical grids). In other words, they are any system that requires energy in order to function, preserve a given state, or move energy between points. Possessing a smart management system that can anticipate future events to run grid assets to their maximum capacity or respond to abrupt changes in inputs (such as rising or falling demand) may be extremely helpful when it comes to transmitting or consuming energy.
Dr. Joanna Rosak-Szyrocka
Prof. Dr. Radosław Wolniak
Guest Editors
Manuscript Submission Information
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Keywords
- application of AI and ML for the effective use of energy storage
- using the Internet of Things to minimize energy consumption, costs and emissions
- optimization of energy flow
- smart energy optimization
- smart energy systems: smart power system control, smart thermal system control, smart cross-sector control, the utilization of clean or renewable energy, the reliability and resilience of energy systems, system integration among multiple energy sectors
