most citedA Neural Network Model to Classify Liver Cancer Patients Using Data Expansion and Compression

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

eess.SY2018

Reliability and Market Price of Energy in the Presence of Intermittent and Non-Dispatchable Renewable Energies

Ashkan Zeinalzadeh, Donya Ghavidel, Vijay Gupta

The intermittent nature of the renewable energies increases the operation costs of conventional generators. As the share of energy supplied by renewable sources increases, these co…

math.OC2016

Voltage Control in the Presence of Photovoltaic Systems

Ashkan Zeinalzadeh, Reza Ghorbani, James Yee

In the past decade, the landscape of energy production has had to shift to accommodate renewables. Which, unlike fossil fuels, are subject to frequent fluctuations; potentially des…

math.OC2016

Minimizing Risk of Load Shedding and Renewable Energy Curtailment in a Microgrid with Energy Storage

Ashkan Zeinalzadeh, Vijay Gupta

We consider a microgrid with random load realization, stochastic renewable energy production, and an energy storage unit. The grid controller provides the total net load trajectory…

stat.ML2016★ 1 cited

A Neural Network Model to Classify Liver Cancer Patients Using Data Expansion and Compression

Ashkan Zeinalzadeh, Tom Wenska, Gordon Okimoto

We develop a neural network model to classify liver cancer patients into high-risk and low-risk groups using genomic data. Our approach provides a novel technique to classify big d…

math.OC2016

Pricing Energy in the Presence of Renewables

Ashkan Zeinalzadeh, Indraneel Chakraborty, Vijay Gupta

At present, electricity markets largely ignore the fact that renewable power producers impose significant externalities on non-renewable energy producers. This is because consumers…