A deep reinforcement learning-based approach for cyber resilient demand response optimization

The contemporary smart grid infrastructure, characterized by its bidirectional communication capabilities between prosumers and utility organizations, has revolutionized the efficient execution of fine-grain computational tasks. Ensuring the uninterrupted delivery of power, even in the face of unfor...

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Principais autores:	Ayush Sinha, Ranjana Vyas, Feras Alasali, William Holderbaum, O. P. Vyas
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Frontiers Media S.A. 2025-01-01
סדרה:	Frontiers in Energy Research
נושאים:	smart grid architecture load forecasting demand response load profiling smart grid resilience FDI attack
גישה מקוונת:	https://www.frontiersin.org/articles/10.3389/fenrg.2024.1494164/full
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