140 citations · 183 across the 17 of their papers we have counts for
5 papers · 1 filter
Improving Supervised Phase Identification Through the Theory of Information Losses
Brandon Foggo, Nanpeng Yu
This paper considers the problem of Phase Identification in power distribution systems. In particular, it focuses on improving supervised learning accuracies by focusing on exploit…
Smart Building Energy Management using Nonlinear Economic Model Predictive Control
Mohammad Ostadijafari, Anamika Dubey, Yang Liu +2
Owing to the call for energy efficiency, the need to optimize the energy consumption of commercial buildings-- responsible for over 40% of US energy consumption--has recently gaine…
Maximum Marginal Likelihood Estimation of Phase Connections in Power Distribution Systems
Wenyu Wang, Nanpeng Yu
Accurate phase connectivity information is essential for advanced monitoring and control applications in power distribution systems. The existing data-driven approaches for phase i…
Analyzing Data Selection Techniques with Tools from the Theory of Information Losses
Brandon Foggo, Nanpeng Yu
In this paper, we present and illustrate some new tools for rigorously analyzing training data selection methods. These tools focus on the information theoretic losses that occur w…
Information Losses in Neural Classifiers from Sampling
Brandon Foggo, Nanpeng Yu, Jie Shi +1
This paper considers the subject of information losses arising from the finite datasets used in the training of neural classifiers. It proves a relationship between such losses as…