arXiv:2609.38258v1 Announce Type: new Abstract: Market clearing in community-based local energy markets relies on power demand and PV forecasts, making it vulnerable to coordinated false data injection (FDI) attacks. This paper proposes a bilevel optimization framework to identify worst-case bus-level FDI against interconnected multi-community electricity markets within a distribution network.
Robustness of Local Energy Markets to Cyberattacks: Case Study of False Data Injection
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