activity
20052019
most citedSmooth Pinball Neural Network for Probabilistic Forecasting of Wind Power

23 citations · 95 across the 16 of their papers we have counts for

collaborators

17 papers

eess.SP2019

Modeling and Detection of Future Cyber-Enabled DSM Data Attacks using Supervised Learning

Kostas Hatalis, Parv Venkitasubramaniam, Shalinee Kishore

Demand-Side Management (DSM) is a vital tool that can be used to ensure power system reliability and stability. In future smart grids, certain portions of a customers load usage co…

eess.SP2019★ 14 cited

A Novel Smoothed Loss and Penalty Function for Noncrossing Composite Quantile Estimation via Deep Neural Networks

Kostas Hatalis, Alberto J. Lamadrid, Katya Scheinberg +1

Uncertainty analysis in the form of probabilistic forecasting can significantly improve decision making processes in the smart power grid when integrating renewable energy sources…

stat.ML2018★ 1 cited

An Empirical Analysis of Constrained Support Vector Quantile Regression for Nonparametric Probabilistic Forecasting of Wind Power

Kostas Hatalis, Shalinee Kishore, Katya Scheinberg +1

Uncertainty analysis in the form of probabilistic forecasting can provide significant improvements in decision-making processes in the smart power grid for better integrating renew…

stat.ML2017

A Composite Quantile Fourier Neural Network for Multi-Step Probabilistic Forecasting of Nonstationary Univariate Time Series

Kostas Hatalis, Shalinee Kishore

Point forecasting of univariate time series is a challenging problem with extensive work having been conducted. However, nonparametric probabilistic forecasting of time series, suc…

stat.ML2017★ 23 cited

Smooth Pinball Neural Network for Probabilistic Forecasting of Wind Power

Kostas Hatalis, Alberto J. Lamadrid, Katya Scheinberg +1

Uncertainty analysis in the form of probabilistic forecasting can significantly improve decision making processes in the smart power grid for better integrating renewable energy so…

eess.SY2015

An Electrical Structure-Based Approach to PMU Placement in the Electric Power Grid

K. G. Nagananda, Shalinee Kishore, Rick S. Blum

The phasor measurement unit (PMU) placement problem is revisited by taking into account a stronger characterization of the electrical connectedness between various buses in the gri…