Brandon Foggo

Orcid: 0000-0002-8547-391X

According to our database1, Brandon Foggo authored at least 15 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Missing Value Replacement for PMU Data via Deep Learning Model With Magnitude Trend Decoupling.
IEEE Access, 2023

2022
pmuBAGE: The Benchmarking Assortment of Generated PMU Data for Power System Events.
CoRR, 2022

pmuBAGE: The Benchmarking Assortment of Generated PMU Data for Power System Events - Part I: Overview and Results.
CoRR, 2022

A Dynamic Behavior-Based Bulk Power System Event Signature Library With Empirical Clustering.
IEEE Access, 2022

2021
Analyzing Data Selection Techniques with Tools from the Theory of Information Losses.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Improving Supervised Phase Identification Through the Theory of Information Losses.
IEEE Trans. Smart Grid, 2020

Information Losses in Neural Classifiers From Sampling.
IEEE Trans. Neural Networks Learn. Syst., 2020

Power System Event Identification based on Deep Neural Network with Information Loading.
CoRR, 2020

On the Maximum Mutual Information Capacity of Neural Architectures.
CoRR, 2020

Online Event Detection in Synchrophasor Data with Graph Signal Processing.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019
A Physically Inspired Data-Driven Model for Electricity Theft Detection With Smart Meter Data.
IEEE Trans. Ind. Informatics, 2019

Interpreting Active Learning Methods Through Information Losses.
CoRR, 2019

Asymptotic Finite Sample Information Losses in Neural Classifiers.
CoRR, 2019

2018
Improved Battery Storage Valuation Through Degradation Reduction.
IEEE Trans. Smart Grid, 2018

2016
Phase Identification in Electric Power Distribution Systems by Clustering of Smart Meter Data.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016


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