Personal information

Activities

Employment (1)

Boston Energy Trading & Marketing: Boston, MA, US

Employment
Source: Self-asserted source
Bowen Zhang

Education and qualifications (1)

Boston University: Boston, MA, US

PhD
Education
Source: Self-asserted source
Bowen Zhang

Professional activities (1)

IEEE: New York, NY, US

Membership
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Bowen Zhang

Works (9)

Control and communication protocols based on packetized direct load control in smart building microgrids

Proceedings of the IEEE
2016 | Journal article
Source: Self-asserted source
Bowen Zhang

Data Center Optimal Regulation Service Reserve Provision with Explicit Modeling of Quality of Service Dynamics

2015 54th IEEE Conference on Decision and Control (CDC)
2015 | Conference paper
Source: Self-asserted source
Bowen Zhang

The Kirchhoff-Braess paradox and its implications for smart microgrids

Decision and Control (CDC), 2015 IEEE 54th Annual Conference on
2015 | Conference paper
Source: Self-asserted source
Bowen Zhang

Communication and control protocols for load networks in the smart grid

IFAC Proceedings Volumes
2014 | Journal article
Source: Self-asserted source
Bowen Zhang

Optimal price-controlled demand response with explicit modeling of consumer preference dynamics

Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
2014 | Conference paper
Source: Self-asserted source
Bowen Zhang

A novel packet switching framework with binary information in demand side management

Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
2013 | Conference paper
Source: Self-asserted source
Bowen Zhang

A two level feedback system design to provide regulation reserve

Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
2013 | Conference paper
Source: Self-asserted source
Bowen Zhang

A packetized direct load control mechanism for demand side management

Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
2012 | Conference paper
Source: Self-asserted source
Bowen Zhang

The application of frequency family separation method in rolling bearing fault diagnosis based on empirical mode decomposition

Control Conference (CCC), 2010 29th Chinese
2010 | Conference paper
Source: Self-asserted source
Bowen Zhang