Bayesian Regression Markets

1 code implementation • 23 Oct 2023 • Thomas Falconer, Jalal Kazempour, Pierre Pinson

Machine learning tasks are vulnerable to the quality of data used as input.

regression

Towards Replication-Robust Analytics Markets

1 code implementation • 9 Oct 2023 • Thomas Falconer, Jalal Kazempour, Pierre Pinson

Many industries rely on data-driven analytics, yet useful datasets are often distributed amongst market competitors that are reluctant to collaborate and share information.

Leveraging power grid topology in machine learning assisted optimal power flow

1 code implementation • 1 Oct 2021 • Thomas Falconer, Letif Mones

However, recently convolutional (CNN) and graph (GNN) neural networks have also been investigated, in effort to exploit topological information within the power grid.

BIG-bench Machine Learning

Deep learning architectures for inference of AC-OPF solutions

no code implementations • 6 Nov 2020 • Thomas Falconer, Letif Mones

We present a systematic comparison between neural network (NN) architectures for inference of AC-OPF solutions.

regression