EV-Fleet Power Forecasting via Kernel-Based Inverse Optimization.
Ricardo Fernández-BlancoJuan Miguel MoralesSalvador PinedaÁlvaro PorrasPublished in: CoRR (2019)
Keyphrases
- optimization problems
- logistics distribution
- power consumption
- short term
- electric vehicles
- vehicle routing
- support vector
- online learning
- optimization algorithm
- optimization methods
- constrained optimization
- kernel machines
- power transmission
- neural network
- load forecasting
- decision variables
- kernel methods
- optimization method
- long term
- artificial neural networks