Kostas Hatalis
Title
Cited by
Cited by
Year
Multi-step forecasting of wave power using a nonlinear recurrent neural network
K Hatalis, P Pradhan, S Kishore, RS Blum, AJ Lamadrid
2014 IEEE PES General Meeting| Conference & Exposition, 1-5, 2014
232014
Smooth Pinball Neural Network for Probabilistic Forecasting of Wind Power
K Hatalis, AJ Lamadrid, K Scheinberg, S Kishore
arXiv preprint arXiv:1710.01720, 2017
102017
Adaptive particle swarm optimization learning in a time delayed recurrent neural network for multi-step prediction
K Hatalis, B Alnajjab, S Kishore, A Lamadrid
2014 IEEE Symposium on Foundations of Computational Intelligence (FOCI), 84-91, 2014
62014
Prospects of wave power grid integration
P Pradhan, K Hatalis, S Kishore, RS Blum, AJ Lamadrid
2014 IEEE PES General Meeting| Conference & Exposition, 1-5, 2014
62014
A Novel Smoothed Loss and Penalty Function for Noncrossing Composite Quantile Estimation via Deep Neural Networks
K Hatalis, AJ Lamadrid, K Scheinberg, S Kishore
arXiv preprint arXiv:1909.12122, 2019
42019
An Empirical Analysis of Constrained Support Vector Quantile Regression for Nonparametric Probabilistic Forecasting of Wind Power
K Hatalis, S Kishore, K Scheinberg, AJ Lamadrid
Thirty-First AAAI Conference on Artificial Intelligence, 2017
32017
Does mere co-activation drive semantic interference
PG O’Séaghdha, D Packer, AK Frazer, K Preusse, K Hatalis, ...
54th annual meeting of the Psychonomic Society, Toronto, Ontario, Canada, 2013
32013
A Composite Quantile Fourier Neural Networkfor Multi-Step Probabilistic Forecastingof Nonstationary Univariate Time Series
K Hatalis, S Kishore
arXiv preprint arXiv:1712.09641, 2020
2*2020
Modeling and detection of future cyber-enabled dsm data attacks
K Hatalis, C Zhao, P Venkitasubramaniam, L Snyder, S Kishore, RS Blum
Energies 13 (17), 4331, 2020
12020
Swarm Optimization: Goodbye Gradients
K Hatalis
Article on Data Science Central, 2018
12018
On Enabling Autonomous Operation and Control of Ocean Wave Energy Farms
K Hatalis, S Kishore
Marine Energy Technology Symposium (METS), 2015
12015
Detecting Cyber Attack Under Quantitative Impact of Demand Side Management
C Zhao, K Hatalis, P Venkitasubramaniam, R Blum, S Kishore, L Snyder
2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&D), 1-5, 2020
2020
Modeling and Detection of Future Cyber-Enabled DSM Data Attacks using Supervised Learning
K Hatalis, P Venkitasubramaniam, S Kishore
arXiv preprint arXiv:1909.12894, 2019
2019
Neural Network Methods for Nonparametric Probabilistic Forecasting
K Hatalis
Lehigh University, PhD Dissertation, 2019
2019
Probabilistic Forecasting: Learning Uncertainty
K Hatalis
Article on Data Science Central, 2018
2018
Misuse of Demand Side Management
K Hatalis, C Zhao, Y Zhuo, P Venkitasubramaniam, L Snyder, S Kishore, ...
Secure Evolvable Energy Delivery Systems Industry Meeting, 2018
2018
Multistep Forecasting with Seasonal ARIMA in Python
K Hatalis
Article on Data Science Central, 2018
2018
Protecting Power System Operations Against Cyber Attacks in the Presence of Renewables
P Pradhan, K Hatalis, S Kishore
Secure Evolvable Energy Delivery Systems Industry Meeting, 2017
2017
Particle Swarm Based Model Exploitation for Parameter Estimation of Wave Realizations
K Hatalis, B Alnajjab, S Kishore, RS Blum, A Lamadrid
IEEE Symposium Series on Computational Intelligence, 2016
2016
Simulations on the Effect of External Semantic Interference in Lexical Retrieval and Priming in Memory
K Hatalis, R Chandramouli
Neuroscience 2015, 2015
2015
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Articles 1–20