Using OR + AI to Predict the Optimal Production of Offshore Wind Parks: A Preliminary Study

By Martina Fischetti. 2017

10 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computational Theory and Mathematics, Electrical and Electronic Engineering, Reinforcement Learning

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Simon Lacoste-Julien
2. Yoshua Bengio

In Computational Theory and Mathematics

1. Sébastien Lachapelle
2. Simon Lacoste-Julien
3. Andrea Lodi
4. Yoshua Bengio
5. Eric Larsen
6. Emma Frejinger
7. Peter Richtárik
8. Zeyuan Allen-Zhu

In Electrical and Electronic Engineering

1. Simon Lacoste-Julien
2. Yoshua Bengio

In Reinforcement Learning

1. Simon Lacoste-Julien
2. Yoshua Bengio
3. Emma Frejinger
4. Andrea Lodi
5. François Soumis

Citations in the corpus

• Predicting Tactical Solutions to Operational Planning Problems under Imperfect Information (2018, background): “For example, Fischetti and Fraccaro (2017) who consider, at the strategic level, a deterministic wind farm layout optimization problem and use ML to predict the objective values achieved by candidate sites.”