Alberto J. Lamadrid

According to our database, Alberto J. Lamadrid authored at least 9 papers between 2014 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

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

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

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 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

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

Coupon Targeting Competition in Privacy Sensitive Market.

Omid Javidbakht, Parv Venkitasubramaniam, Alberto J. Lamadrid

Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017

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

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Particle swarm based model exploitation for parameter estimation of wave realizations.

Kostas Hatalis, Basel Alnajjab, Shalinee Kishore, Rick S. Blum, Alberto J. Lamadrid

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2014

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

Proceedings of the 2014 IEEE Symposium on Foundations of Computational Intelligence, 2014