On-demand Knowledge Graphs for Standards-Based Power Grid Data Provisioning

2021 ◽  
pp. 485-492
Author(s):  
Vijay S. Kumar ◽  
Sharad Dixit ◽  
Kareem S. Aggour ◽  
Jenny Weisenberg Williams ◽  
Paul Cuddihy
Keyword(s):  
Power Grid ◽  
Grid Data ◽  
On Demand ◽  
Knowledge Graphs

Power Grid Data Confirmation Model Based on Behavior Characteristics

2021 ◽  
Author(s):  
Qinyi Lei ◽  
Qi Sun ◽  
Linyan Zhao ◽  
Dehua Hong ◽  
Cailiang Hu
Keyword(s):  
Power Grid ◽  
Grid Data ◽  
Model Based ◽  
Behavior Characteristics

Power Grid Data Analysis with R and Hadoop

2014 ◽  
pp. 1-34
Author(s):  
Ryan Hafen ◽  
Tara Gibson ◽  
Kerstin Kleese van Dam ◽  
Terence Critchlow
Keyword(s):  
Data Analysis ◽  
Power Grid ◽  
Grid Data

scholarly journals Research on Characteristics and Value Analysis of Power Grid Data Asset

2018 ◽  
Vol 139 ◽  
pp. 158-164 ◽  
Author(s):  
Wei Song ◽  
Yuejin Zhang ◽  
Jun Wang ◽  
Haifeng Li ◽  
Yajing Meng ◽  
...  
Keyword(s):  
Power Grid ◽  
Grid Data ◽  
Value Analysis

AN APPLICATION OF THE HIGHLY OPTIMIZED TOLERANCE MODEL TO ELECTRICAL BLACKOUTS

2003 ◽  
Vol 13 (01) ◽  
pp. 237-242 ◽  
Author(s):  
M. D. STUBNA ◽  
J. FOWLER
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Power Grid ◽  
Data Sets ◽  
Grid Data ◽  
Uncertain Environments ◽  
Power Distribution System ◽  
Resource Misallocation ◽  
Optimal Resource ◽  
Number Of Customers

The recently proposed Highly Optimized Tolerance (H.O.T.) model [Carlson & Doyle, 1999, 2000], which aims to describe the statistics of robust complex systems in uncertain environments, is compared with data from the Western United States (W.S.C.C.) power distribution system. We use for comparison a 15-year record of all power outages occurring on the grid, measured in the size of megawatts lost and the number of customers without service. In applying the model to the power grid data, we find that the problem of determining how the resources in the system scale with event size is nontrivial given the assumptions of the model and the information about how the power grid actually operates. Further, we observe that the model agrees closely with the W.S.C.C. data for the megawatts but not the customers, and consequently propose that the assumption in the model of optimal resource distribution is not valid in general when more than one measure of event size is used. A modified H.O.T. model which allows for resource misallocation is introduced and we find that this model can be made to fit both data sets reasonably well.

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