Analysis of multilayer energy networks: A comprehensive literature review

Muhammad Kazim, Harun Pirim, Om Prakash Yadav, Chau Le and Trung Le

Applied Energy, 2025, vol. 398, issue C, No S0306261925010876

Abstract: The increasing complexity of modern energy systems, driven by renewable integration, decentralized infrastructure, and cross-sector interdependencies, necessitates advanced analytical frameworks beyond single-layer models to address interdependencies, cascading failures, and resilience. Multilayer Network Theory (MLNT) offers a robust framework for modeling interactions across diverse energy carriers (e.g., electricity, gas, and heat), providing critical insights into scalability, sustainability, and fault resilience. However, despite its potential, no comprehensive review has systematically examined MLNT’s applications in multi-energy systems (MES). This paper fills this gap by synthesizing interdisciplinary research from 2014 to 2024 to assess MLNT’s role in advancing energy systems.

Keywords: Multilayer energy networks; Infrastructure interdependencies; Resilience analysis; Sustainability; Network robustness; Energy management; Machine learning; Cascading failures; Resource optimization; Renewable energy integration; GNN (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1016/j.apenergy.2025.126357

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