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pro vyhledávání: '"Srivastava, Anurag"'
Autor:
Nair, Vineet J., Venkataramanan, Venkatesh, Srivastava, Priyank, Sarker, Partha S., Srivastava, Anurag, Marinovici, Laurentiu D., Zha, Jun, Irwin, Christopher, Mittal, Prateek, Williams, John, Poor, H. Vincent, Annaswamy, Anuradha M.
The electricity grid has evolved from a physical system to a cyber-physical system with digital devices that perform measurement, control, communication, computation, and actuation. The increased penetration of distributed energy resources (DERs) tha
Externí odkaz:
http://arxiv.org/abs/2406.14861
Autor:
Lakshminarayana, Subhash, Maple, Carsten, Larkins, Andrew, Flack, Daryl, Few, Christopher, Srivastava, Anurag. K.
The growing adoption of Internet-of-Things (IoT)-enabled energy smart appliances (ESAs) at the consumer end, such as smart heat pumps, electric vehicle chargers, etc., is seen as key to enabling demand-side response (DSR) services. However, these sma
Externí odkaz:
http://arxiv.org/abs/2310.18820
Advancements in digital automation for smart grids have led to the installation of measurement devices like phasor measurement units (PMUs), micro-PMUs ($\mu$-PMUs), and smart meters. However, a large amount of data collected by these devices brings
Externí odkaz:
http://arxiv.org/abs/2309.10788
This paper addresses the load restoration problem after power outage events. Our primary proposed methodology is using multi-agent deep reinforcement learning to optimize the load restoration process in distribution systems, modeled as networked micr
Externí odkaz:
http://arxiv.org/abs/2306.14018