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Mark Rice
Mark Rice
Verified email at pnnl.gov
Title
Cited by
Cited by
Year
Enhanced state estimators
J Zhu, A Abur, MJ Rice, GT Heydt, S Meliopoulos
PSerc Final Report, 2006
572006
Power systems state estimation accuracy enhancement through the use of PMU measurements
Rice, Heydt
2005/2006 IEEE/PES Transmission and Distribution Conference and Exhibition …, 2006
452006
Recent experience with a hybrid SCADA/PMU on-line state estimator
R Avila-Rosales, MJ Rice, J Giri, L Beard, F Galvan
2009 IEEE Power & Energy Society General Meeting, 1-8, 2009
442009
Computational Challenges for Power System Operation
Y Chen, Z Huang, Y Liu, MJ Rice, S Jin
Pacific Northwest National Laboratory (PNNL), Richland, WA (US), 2012
332012
GridPACKTM: A framework for developing power grid simulations on high-performance computing platforms
B Palmer, W Perkins, Y Chen, S Jin, D Callahan, K Glass, R Diao, M Rice, ...
The International Journal of High Performance Computing Applications 30 (2 …, 2016
282016
Parallel state estimation assessment with practical data
Y Chen, S Jin, M Rice, Z Huang
2013 IEEE Power & Energy Society General Meeting, 1-5, 2013
242013
The measurement outage table and state estimation
MJ Rice, GT Heydt
IEEE Transactions on Power Systems 23 (2), 353-360, 2008
232008
Phasor measurement unit data in power system state estimation
MJ Rice
Arizona State University, 2004
232004
Electrical Power Grid Monitoring Apparatus, Articles of Manufacture, and Methods of Monitoring Equipment of an Electrical Power Grid
KP Schneider, MJ Rice, TL Williams, BB Van Kirk III
US Patent App. 14/042,414, 2015
182015
Towards efficient nx contingency selection using group betweenness centrality
M Halappanavar, Y Chen, R Adolf, D Haglin, Z Huang, M Rice
2012 SC Companion: High Performance Computing, Networking Storage and …, 2012
172012
Sub-second state estimation implementation and its evaluation with real data
Y Chen, M Rice, K Glaesemann, Z Huang
2015 IEEE Power & Energy Society General Meeting, 1-5, 2015
162015
SCADA-rate parallel state estimation assessed with utility data
Y Chen, M Rice, Z Huang
2014 IEEE PES General Meeting| Conference & Exposition, 1-5, 2014
152014
Distributing power grid state estimation on HPC clusters-A system architecture prototype
Y Liu, W Jiang, S Jin, M Rice, Y Chen
2012 IEEE 26th International Parallel and Distributed Processing Symposium …, 2012
152012
Evaluation of counter-based dynamic load balancing schemes for massive contingency analysis on over 10,000 cores
Y Chen, Z Huang, M Rice
2012 SC Companion: High Performance Computing, Networking Storage and …, 2012
112012
A testbed for deploying distributed state estimation in power grid
S Jin, Y Chen, M Rice, Y Liu, I Gorton
2012 IEEE Power and Energy Society General Meeting, 1-7, 2012
112012
A look-ahead probabilistic contingency analysis framework incorporating smart sampling techniques
Y Chen, P Etingov, H Ren, Z Hou, M Rice, YV Makarov
2016 IEEE Power and Energy Society General Meeting (PESGM), 1-5, 2016
82016
In the face of cybersecurity: How the common information model can be used
P Skare, H Falk, M Rice, J Winkel
IEEE Power and Energy Magazine 14 (1), 94-104, 2015
72015
Integrated state estimation and contingency analysis software implementation using high performance computing techniques
Y Chen, K Glaesemann, M Rice, Z Huang
IFAC-PapersOnLine 48 (30), 227-232, 2015
72015
Design of state estimator measurements based on condition indicators
MJ Rice, GT Heydt, W Jiang, V Vittal
Electric Power Components and Systems 36 (7), 665-679, 2008
62008
Impact of PMU technology in state estimation
R Avila-Rosales, M Rice, R Lopez, L Beard, T Mathur, F Galvan, V Gupta, ...
Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2008
62008
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