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Found 5 papers, 0 papers with code
Carbon Footprint Accounting Driven by Large Language Models and Retrieval-augmented Generation
Carbon footprint accounting is crucial for quantifying greenhouse gas emissions and achieving carbon neutrality. The dynamic nature of processes, accounting rules, carbon-related policies, and energy supply structures necessitates real-time updates of CFA.
Power System Fault Diagnosis with Quantum Computing and Efficient Gate Decomposition
Power system fault diagnosis is crucial for identifying the location and causes of faults and providing decision-making support for power dispatchers.
Applying Large Language Models to Power Systems: Potential Security Threats
Applying large language models (LLMs) to modern power systems presents a promising avenue for enhancing decision-making and operational efficiency.
Cyber-physical interdependent restoration scheduling for active distribution network via ad hoc wireless communication
This paper proposes a post-disaster cyber-physical interdependent restoration scheduling (CPIRS) framework for active distribution networks (ADN) where the simultaneous damages on cyber and physical networks are considered.
Fed-NILM: A Federated Learning-based Non-Intrusive Load Monitoring Method for Privacy-Protection
However, inadequate load data and the risk of power consumer privacy breaches may be encountered by local data owners during the NILM model training.
