Reinforcement learning techniques for controlling resources in power networks

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Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Electrical & Computer Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2013

Author dc:creator

• Kowli, Anupama

Contributors dc:contributor

• Meyn, Sean P.
• Sauer, Peter W.
• Domínguez-García, Alejandro D.
• Sanders, William H.

• smart grid
• ancillary services
• approximate dynamic programming
• demand response
• economic dispatch
• energy storage
• Markov decision theory
• model predictive control
• power networks
• reinforcement learning
• renewable integration
• stochastic control
• unit commitment
• wind power

Statement dc:rights

• Copyright 2013 Anupama Sunil Kowli

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/45328

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/45328