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Displaying 1-4 out of 4 total
An Integrated Security Framework for GOSS Power Grid Analytics Platform
Found in: 2014 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)
By Tara Gibson,Selim Ciraci,Poorva Sharma,Craig Allwardt,Mark Rice,Bora Akyol
Issue Date:June 2014
pp. 786-791
In power grid operations, security is an essential component for any middleware platform. Security protects data against unwanted access as well as cyber attacks. GridOpticsTM Software System (GOSS) is an open source power grid analytics platform that faci...
Large-Scale Data Challenges in Future Power Grids
Found in: 2013 IEEE 7th International Symposium on Service Oriented System Engineering (SOSE)
By Jian Yin,Poorva Sharma,Ian Gorton,Bora Akyoli
Issue Date:March 2013
pp. 324-328
This paper describes technical challenges in supporting large-scale real-time data analysis for future power grid systems and discusses various design options to address these challenges. Even though the existing U.S. power grid has served the nation remar...
GridOPTICS(TM) A Novel Software Framework for Integrating Power Grid Data Storage, Management and Analysis
Found in: 2013 46th Hawaii International Conference on System Sciences (HICSS 2013)
By Ian Gorton,Jian Yin,Bora Akyol,Selim Ciraci,Terence Critchlow,Yan Liu,Tara Gibson,Sumit Purohit,Poorva Sharma,Maria Vlachopoulou
Issue Date:January 2013
pp. 2167-2176
This paper describes the architecture and design of GridOPTICS TM , a novel software framework for integrating a collection of software tools developed by NPNNL's Future Power Grid Initiative (FPGI) into a coherent, powerful operations and planning tool fo...
REVEAL: An Extensible Reduced Order Model Builder for Simulation and Modeling
Found in: Computing in Science & Engineering
By Khushbu Agarwal,Poorva Sharma,Jinliang Ma,Chaomei Lo,Ian Gorton,Yan Liu
Issue Date:April 2013
pp. 1
Many science domains need to build computationally efficient and accurate representations of high fidelity, computationally expensive simulations known as reduced order models. This paper presents the design and implementation of a novel reduced-order mode...