85 citations · 116 across the 22 of their papers we have counts for
6 papers · 1 filter
Prescribing net demand for two-stage electricity generation scheduling
Juan M. Morales, Miguel Á. Muñoz, Salvador Pineda
We consider a two-stage generation scheduling problem comprising a forward dispatch and a real-time re-dispatch. The former must be conducted facing an uncertain net demand that in…
A Functional Data Analysis Approach to Evolution Outlier Detection for Grouped Smart Meters
A. Elías, J. M. Morales, S. Pineda
Smart metering infrastructures collect data almost continuously in the form of fine-grained long time series. These massive data series often have common daily patterns that are re…
Is learning for the unit commitment problem a low-hanging fruit?
S. Pineda, J. M. Morales
The blast wave of machine learning and artificial intelligence has also reached the power systems community, and amid the frenzy of methods and black-box tools that have been left…
Learning the price response of active distribution networks for TSO-DSO coordination
Juan Miguel Morales, Salvador Pineda, Yury Dvorkin
The increase in distributed energy resources and flexible electricity consumers has turned TSO-DSO coordination strategies into a challenging problem. Existing decomposition/decent…
Cost-driven Screening of Network Constraints for the Unit Commitment Problem
Álvaro Porras, Salvador Pineda, Juan M. Morales +1
In an attempt to speed up the solution of the unit commitment (UC) problem, both machine-learning and optimization-based methods have been proposed to lighten the full UC formulati…
Warm-starting constraint generation for mixed-integer optimization: A Machine Learning approach
Asunción Jiménez-Cordero, Juan Miguel Morales, Salvador Pineda
Mixed Integer Linear Programs (MILP) are well known to be NP-hard (Non-deterministic Polynomial-time hard) problems in general. Even though pure optimization-based methods, such as…