Luyang Hou, PhD Candidate 

Intelligent Transportation

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Operations research, game theory, machine learning with applications to smart grid and grid-interactive transportation.

 

Current research activities: Economic model-based resource allocation in smart grid and smart city environments, including electric vehicle charging scheduling and energy management.

 

Smart Grid Management

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Machine learning, market-based models and applications on charging scheduling and energy management in smart grid

 

Workshop Layout

Co-evolutionary algorithm, invasive weed optimization algorithm, surrogate model, and applications on tandem Automatic Guided Vehicle system layout design