Kostas Hatalis

Prospects of wave power grid integration

Rick S. Blum, Alberto J. Lamadrid, Shalinee Kishore, 2014, 2014 IEEE PES General Meeting | Conference & Exposition.

Adaptive particle swarm optimization learning in a time delayed recurrent neural network for multi-step prediction

Alberto J. Lamadrid, Shalinee Kishore, Kostas Hatalis, 2014, 2014 IEEE Symposium on Foundations of Computational Intelligence (FOCI).

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

Alberto J. Lamadrid, Katya Scheinberg, Shalinee Kishore, 2019, ArXiv.

Smooth Pinball Neural Network for Probabilistic Forecasting of Wind Power

Alberto J. Lamadrid, Katya Scheinberg, Shalinee Kishore, 2017, 1710.01720.

Particle swarm based model exploitation for parameter estimation of wave realizations

Rick S. Blum, Alberto J. Lamadrid, Shalinee Kishore, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

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

Shalinee Kishore, Kostas Hatalis, 2017 .

Modeling and Detection of Future Cyber-Enabled DSM Data Attacks

Rick S. Blum, Parv Venkitasubramaniam, Lawrence V. Snyder, 2020 .

Multi-step forecasting of wave power using a nonlinear recurrent neural network

Rick S. Blum, Alberto J. Lamadrid, Shalinee Kishore, 2014, 2014 IEEE PES General Meeting | Conference & Exposition.

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

Alberto J. Lamadrid, Katya Scheinberg, Shalinee Kishore, 2018, AAAI Workshops.

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

Parv Venkitasubramaniam, Shalinee Kishore, Kostas Hatalis, 2019, ArXiv.