Juan Miguel Morales

14 papers Journal 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
An enhanced heuristic framework for solving the Rank Pricing Problem.
Expert Syst. Appl.
Asunción Jiménez-Cordero, Salvador Pineda, Juan Miguel Morales
2025 J jnl
Counterfactual optimization for fault prevention in complex wind energy systems.
CoRR
Emilio Carrizosa, Martina Fischetti, Roshell Haaker, Juan Miguel Morales
2024 J jnl
Beyond the Neural Fog: Interpretable Learning for AC Optimal Power Flow.
CoRR
Salvador Pineda, Juan Pérez-Ruiz, Juan Miguel Morales
2024 J jnl
The Cooperative Maximal Covering Location Problem with ordered partial attractions.
Comput. Oper. Res.
Concepción Domínguez, Ricardo Gázquez, Juan Miguel Morales, Salvador Pineda
2023 J jnl
Tight and Compact Sample Average Approximation for Joint Chance-Constrained Problems with Applications to Optimal Power Flow.
INFORMS J. Comput.
Álvaro Porras, Concepción Domínguez, Juan Miguel Morales, Salvador Pineda
2022 J jnl
Warm-starting constraint generation for mixed-integer optimization: A Machine Learning approach.
Knowl. Based Syst.
Asunción Jiménez-Cordero, Juan Miguel Morales, Salvador Pineda
2021 J jnl
A novel embedded min-max approach for feature selection in nonlinear Support Vector Machine classification.
Eur. J. Oper. Res.
Asunción Jiménez-Cordero, Juan Miguel Morales, Salvador Pineda
2021 J jnl
Inverse optimization with kernel regression: Application to the power forecasting and bidding of a fleet of electric vehicles.
Comput. Oper. Res.
Ricardo Fernández-Blanco, Juan Miguel Morales, Salvador Pineda, Álvaro Porras
2020 J jnl
A novel embedded min-max approach for feature selection in nonlinear Support Vector Machine classification.
CoRR
Asunción Jiménez-Cordero, Juan Miguel Morales, Salvador Pineda
2020 J jnl
Forecasting the Price-Response of a Pool of Buildings via Homothetic Inverse Optimization.
CoRR
Ricardo Fernández-Blanco, Juan Miguel Morales, Salvador Pineda
2019 J jnl
Day-ahead Operation of an Aggregator of Electric Vehicles via Optimization under Uncertainty.
CoRR
Álvaro Porras, Ricardo Fernández-Blanco, Juan Miguel Morales, Salvador Pineda
2019 J jnl
EV-Fleet Power Forecasting via Kernel-Based Inverse Optimization.
CoRR
Ricardo Fernández-Blanco, Juan Miguel Morales, Salvador Pineda, Álvaro Porras
2019 J jnl
How Can Smart Buildings Be Price-Responsive?
CoRR
Ricardo Fernández-Blanco, Juan Miguel Morales, Salvador Pineda
2017 J jnl
Inhomogeneous Markov Models for Describing Driving Patterns.
IEEE Trans. Smart Grid
Emil Banning Iversen, Jan Kloppenborg Møller, Juan Miguel Morales, Henrik Madsen