Inverse optimization with kernel regression: application to the power forecasting and bidding of a fleet of electric vehicles

DOI10.1016/j.cor.2021.105405OpenAlexW3167347586MaRDI QIDQ2669509

Ricardo Fernández-Blanco, Salvador Pineda, Juan M. Morales, Álvaro Porras

Publication date: 9 March 2022

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1908.00399

zbMATH Keywords

kernel regressionforecastingelectric vehiclesinverse optimization

Mathematics Subject Classification ID

Operations research and management science (90Bxx)

Related Items (1)

Using inverse optimization to learn cost functions in generalized Nash games

Uses Software

• CPLEX
• Pyomo
• Scikit

Cites Work

• Unnamed Item
• Battery swap station location-routing problem with capacitated electric vehicles
• Finding compromise solutions in project portfolio selection with multiple experts by inverse optimization
• Data-driven inverse optimization with imperfect information
• Data-driven estimation in equilibrium using inverse optimization
• Kernel methods in machine learning
• Inverse optimization for linearly constrained convex separable programming problems
• Cost-sensitive feature selection for support vector machines
• Inverse optimization for the recovery of constraint parameters
• Optimal battery purchasing and charging strategy at electric vehicle battery swap stations
• Inverse Optimization with Noisy Data

This page was built for publication: Inverse optimization with kernel regression: application to the power forecasting and bidding of a fleet of electric vehicles