
SALVADOR
PINEDA MORENTE
PROFESOR/A TITULAR DE UNIVERSIDAD
Publications (67) SALVADOR PINEDA MORENTE publications
2025
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An enhanced heuristic framework for solving the Rank Pricing Problem
Expert Systems with Applications, Vol. 276
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Beyond the Neural Fog: Interpretable Learning for AC Optimal Power Flow
IEEE Transactions on Power Systems
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Decision-focused linear pooling for probabilistic forecast combination
International Journal of Forecasting, Vol. 41, Núm. 3, pp. 1112-1125
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Learning-based state estimation in distribution systems with limited real-time measurements
Electric Power Systems Research, Vol. 241
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Unifying Chance-Constrained and Robust Optimal Power Flow for Resilient Network Operations
IEEE Transactions on Control of Network Systems, Vol. 12, Núm. 1, pp. 1052-1061
2024
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Interpretable Machine Learning for DC Optimal Power Flow With Feasibility Guarantees
IEEE Transactions on Power Systems, Vol. 39, Núm. 3, pp. 5126-5137
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Learning‑assisted optimization for transmission switching
Top, Vol. 32, Núm. 3, pp. 489-516
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The Cooperative Maximal Covering Location Problem with ordered partial attractions
Computers and Operations Research, Vol. 170
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Tight big-Ms for Optimal Transmission Switching
Electric Power Systems Research, Vol. 234
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Unifying Chance-Constrained and Robust Optimal Power Flow for Resilient Network Operations
IEEE Transactions on Control of Network Systems
2023
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A high dimensional functional time series approach to evolution outlier detection for grouped smart meters
Quality Engineering, Vol. 35, Núm. 3, pp. 371-387
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Cost-Driven Screening of Network Constraints for the Unit Commitment Problem
IEEE Transactions on Power Systems, Vol. 38, Núm. 1, pp. 42-51
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Prescribing net demand for two-stage electricity generation scheduling
Operations Research Perspectives, Vol. 10
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Renovables y baterías: un romance del siglo XXI
BEIO, Boletín de Estadística e Investigación Operativa, Vol. 39, Núm. 2, pp. 20-35
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Tight and Compact Sample Average Approximation for Joint Chance-Constrained Problems with Applications to Optimal Power Flow
INFORMS Journal on Computing, Vol. 35, Núm. 6, pp. 1454-1469
2022
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A bilevel framework for decision-making under uncertainty with contextual information
Omega (United Kingdom), Vol. 108
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Essays on operations research in energy
Top, Vol. 30, Núm. 3, pp. 427-429
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Is learning for the unit commitment problem a low-hanging fruit?
Electric Power Systems Research, Vol. 207
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Learning the Price Response of Active Distribution Networks for TSO-DSO Coordination
IEEE Transactions on Power Systems, Vol. 37, Núm. 4, pp. 2858-2868
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Mathematical programming for power systems
Encyclopedia of Electrical and Electronic Power Engineering: Volumes 1-3 (Elsevier), pp. V1-722-V1-733