Advanced Modelling, Optimisation and AI for Sustainable Energy Systems
This special issue belongs to the section "Energy Systems".
Special Issue Information
Dear Colleagues,
The transition towards sustainable, resilient, and low-carbon energy systems requires advanced modelling and computational approaches capable of capturing the increasing complexity, uncertainty, and interdependencies across energy technologies, infrastructure, buildings, cities, and industrial systems.
This Special Issue, “Advanced Modelling, Optimisation and AI for Sustainable Energy Systems,” aims to bring together innovative research on the development and application of advanced modelling, optimisation, artificial intelligence, and data-driven methods for the analysis, design, and operation of sustainable energy systems.
We welcome contributions addressing energy systems planning and optimisation; renewable energy integration; distributed energy resources; energy storage; sector coupling; electrification; hydrogen and other emerging energy vectors; energy efficiency in buildings and cities; and sustainable energy infrastructure. Particular emphasis is placed on advanced computational approaches, including mathematical optimisation, multi-objective optimisation, machine learning, artificial intelligence, surrogate modelling, digital twins, agent-based modelling, and data-driven energy-system analysis.
Contributions addressing uncertainty, resilience, energy–environment interactions, life-cycle assessment, techno-economic and environmental assessment, and the integration of digital technologies for sustainable energy management are also encouraged. Studies combining modelling and optimisation with real-world applications at building, urban, regional, national, or global scales are particularly welcome.
By bringing together advances across these complementary areas, this Special Issue seeks to promote interdisciplinary approaches for understanding and transforming complex energy systems and to support the development of more efficient, resilient, sustainable, and low-carbon energy futures.
Dr. Iván García Kerdan
Guest Editor
Manuscript Submission Information
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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
- energy systems modelling
- optimisation
- artificial intelligence
- machine learning
- renewable energy
- energy transition
- digital twins
- energy storage
- hydrogen systems
- sustainable energy systems
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