Lecture

Detecting and Correcting Parameter Errors in Power Grids

Description

This lecture by Prof. Ali Abur from Northeastern University discusses methods for detecting and correcting parameter errors in power grids. It covers topics such as statistical properties of measurement residuals, computational bottlenecks, sensitivity analysis, and error identification. The lecture also presents a software tool for error detection and correction, along with case studies and examples demonstrating the effectiveness of the proposed methods.

Official source

https://mediaspace.epfl.ch/media/0_flcfrbi1

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Data analysis: Regression analysis

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