Inverse optimization with kernel regression : application to the power forecasting and bidding of a fleet of electric vehicles
Year of publication: |
2021
|
---|---|
Authors: | Fernández-Blanco, Ricardo ; Morales, Juan M. ; Pineda, Salvador ; Porras, Álvaro |
Published in: |
Computers & operations research : and their applications to problems of world concern ; an international journal. - Oxford [u.a.] : Elsevier, ISSN 0305-0548, ZDB-ID 194012-0. - Vol. 134.2021, p. 1-9
|
Subject: | Electric vehicles | Forecasting | Inverse optimization | Kernel regression | Elektrofahrzeug | Electric vehicle | Regressionsanalyse | Regression analysis | Prognoseverfahren | Forecasting model | Schätztheorie | Estimation theory |
-
Nonlinear traffic prediction as a matrix completion problem with ensemble learning
Li, Wenqing, (2022)
-
A nonparametric test of the predictive regression model
Juhl, Ted, (2014)
-
Methods for forecasting the market penetration of electric drivetrains in the passenger car market
Jochem, Patrick, (2018)
- More ...
-
Porras, Álvaro, (2023)
-
Learning-assisted optimization for transmission switching
Pineda, Salvador, (2024)
-
Capacity expansion of stochastic power generation under two-stage electricity markets
Pineda, Salvador, (2016)
- More ...