Adaptive particle swarm optimization learning in a time delayed recurrent neural network for multi-step prediction. - Kostas Hatalis; Basel Alnajjab; Shalinee Kishore; Alberto J. Lamadrid (FOCI, 2014)

Particle swarm based model exploitation for parameter estimation of wave realizations. - Kostas Hatalis; Basel Alnajjab; Shalinee Kishore; Rick S. Blum; Alberto J. Lamadrid (SSCI, 2016)

An Empirical Analysis of Constrained Support Vector Quantile Regression for Nonparametric Probabilistic Forecasting of Wind Power. - Kostas Hatalis; Shalinee Kishore; Katya Scheinberg; Alberto J. Lamadrid (AAAI Workshops, 2017)

Coupon Targeting Competition in Privacy Sensitive Market. - Omid Javidbakht; Parv Venkitasubramaniam; Alberto J. Lamadrid (Allerton, 2018)

Generalized Minimax: A Self-Enforcing Pricing Scheme for Load Aggregators. - Kwami Senam Sedzro; Alberto J. Lamadrid; Mooi Choo Chuah (IEEE Trans. Smart Grid, 2018)

A Novel Smoothed Loss and Penalty Function for Noncrossing Composite Quantile Estimation via Deep Neural Networks. - Kostas Hatalis; Alberto J. Lamadrid; Katya Scheinberg; Shalinee Kishore (CoRR, 2019)

Stochastic Optimal Power Flow Under Forecast Errors and Failures in Communication. - Basel Alnajjab; Alberto J. Lamadrid; Lawrence V. Snyder; Shalinee Kishore; Rick S. Blum (IEEE Trans. Smart Grid, 2019)

A Heuristic Approach to the Post-Disturbance and Stochastic Pre-Disturbance Microgrid Formation Problem. - Kwami Senam Sedzro; Xin Shi; Alberto J. Lamadrid; Luis F. Zuluaga (IEEE Trans. Smart Grid, 2019)

A robust decision-support method based on optimization and simulation for wildfire resilience in highly renewable power systems. - Tomás Tapia; Álvaro Lorca; Daniel E. Olivares; Matías Negrete-Pincetic; Alberto J. Lamadrid (Eur. J. Oper. Res., 2021)