Juan M. Morales

Orcid: 0000-0002-9114-686X

Affiliations:
  • University of Málaga, Spain
  • Technical University of Denmark, Lyngby


According to our database1, Juan M. Morales authored at least 29 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Beyond the Neural Fog: Interpretable Learning for AC Optimal Power Flow.
CoRR, 2024

The Cooperative Maximal Covering Location Problem with ordered partial attractions.
Comput. Oper. Res., 2024

2023
Tight and Compact Sample Average Approximation for Joint Chance-Constrained Problems with Applications to Optimal Power Flow.
INFORMS J. Comput., 2023

Distributionally robust optimal power flow with contextual information.
Eur. J. Oper. Res., 2023

Data Valuation from Data-Driven Optimization.
CoRR, 2023

2022
Distributionally robust stochastic programs with side information based on trimmings.
Math. Program., 2022

Warm-starting constraint generation for mixed-integer optimization: A Machine Learning approach.
Knowl. Based Syst., 2022

Partition-based distributionally robust optimization via optimal transport with order cone constraints.
4OR, 2022

2021
A novel embedded min-max approach for feature selection in nonlinear Support Vector Machine classification.
Eur. J. Oper. Res., 2021

Inverse optimization with kernel regression: Application to the power forecasting and bidding of a fleet of electric vehicles.
Comput. Oper. Res., 2021

Electricity Cost-Sharing in Energy Communities Under Dynamic Pricing and Uncertainty.
IEEE Access, 2021

2020
An Efficient Robust Approach to the Day-Ahead Operation of an Aggregator of Electric Vehicles.
IEEE Trans. Smart Grid, 2020

A two-phase stochastic programming approach to biomass supply planning for combined heat and power plants.
OR Spectr., 2020

Forecasting the Price-Response of a Pool of Buildings via Homothetic Inverse Optimization.
CoRR, 2020

2019
An Integrated Market for Electricity and Natural Gas Systems with Stochastic Power Producers.
Eur. J. Oper. Res., 2019

Day-ahead Operation of an Aggregator of Electric Vehicles via Optimization under Uncertainty.
CoRR, 2019

How Can Smart Buildings Be Price-Responsive?
CoRR, 2019

EV-Fleet Power Forecasting via Kernel-Based Inverse Optimization.
CoRR, 2019

2018
Real-Time Procurement Strategies of a Proactive Distribution Company With Aggregator-Based Demand Response.
IEEE Trans. Smart Grid, 2018

Short-Term Forecasting of Price-Responsive Loads Using Inverse Optimization.
IEEE Trans. Smart Grid, 2018

Optimal Price-Energy Demand Bids for Aggregate Price-Responsive Loads.
IEEE Trans. Smart Grid, 2018

2017
Inhomogeneous Markov Models for Describing Driving Patterns.
IEEE Trans. Smart Grid, 2017

On the inefficiency of the merit order in forward electricity markets with uncertain supply.
Eur. J. Oper. Res., 2017

2016
Impact of forecast errors on expansion planning of power systems with a renewables target.
Eur. J. Oper. Res., 2016

Commitment and dispatch of heat and power units via affinely adjustable robust optimization.
Comput. Oper. Res., 2016

Capacity expansion of stochastic power generation under two-stage electricity markets.
Comput. Oper. Res., 2016

2014
Electricity market clearing with improved scheduling of stochastic production.
Eur. J. Oper. Res., 2014

2010
Real-Time Demand Response Model.
IEEE Trans. Smart Grid, 2010

Electricity pool prices: long-term uncertainty characterization for futures-market trading and risk management.
J. Oper. Res. Soc., 2010


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