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Hy-DAT: A Tool to Address Hydropower Modeling Gaps Using Interdependency, Efficiency Curves, and Unit Dispatch Models
As the power system continues to be flooded with intermittent resources, it becomes more important to accurately assess the role of hydro and its impact on the power grid.
Fortify Your Defenses: Strategic Budget Allocation to Enhance Power Grid Cybersecurity
We show how altering the budget allocation for tasks such as asset management, cybersecurity infrastructure improvement, incident response planning and employee training affects the choice of the optimal set of preventive mitigation measures and modifies the associated cybersecurity risk.
Cascading Failures in Power Grids
Our results show that: ($i$) the power grid is vulnerable to both these attacks, ($ii$) the tactical attack has significant social, economic and health damage but need not result in a regional cascade; on the contrary the targeted attack can cause significant cascade and lead to power outage over a large region.
Fault location in High Voltage Multi-terminal dc Networks Using Ensemble Learning
Precise location of faults for large distance power transmission networks is essential for faster repair and restoration process.
DeVLearn: A Deep Visual Learning Framework for Localizing Temporary Faults in Power Systems
This compressed representation may then be used with off-the-shelf classifiers for determining fault location.
