Kristen Schell, Carleton University

Research

machine learning climate change deep neural networks fluid mechanics navier-stokes power systems dispatch renewable energy stochastic optimization

Latest funding

Uncertainty Informed Net Zero Energy System Modelling
NSERC · 2023 · Principal investigator
$70,000
Sustainable energy design: bringing technology and humanity together
SSHRC · 2022 · Principal investigator
$125,000
Sustainable energy design: bringing technology and humanity together
SSHRC · 2022 · Principal investigator
$125,000

All 5 grants and awards

Uncertainty Informed Net Zero Energy System Modelling

Principal investigatorNSERC2023Canada Research Chairs

Principal investigators: Schell, Kristen

Keywords: uncertainty; renewable energy forecasting; deep learning; machine learning; stochastic optimization modelling; net zero energy planning; process design; statistical learning; scenario reduction; energy system modelling

$70,000

Sustainable energy design: bringing technology and humanity together

Principal investigatorSSHRC2022New Frontiers in Research Fund - Exploration

Principal investigators: Schell, Kristen

Keywords: network optimization energy system planning stochastic programming machine learning renewable energy field experiment choice experiment

$125,000

Sustainable energy design: bringing technology and humanity together

Principal investigatorSSHRC2022New Frontiers in Research Fund - Exploration

Principal investigators: Schell, Kristen

Keywords: network optimization; energy system planning; stochastic programming; machine learning; renewable energy; field experiment; choice experiment

$125,000

End-to-end wind power modelling: developing physics-informed machine learning models for atmospheric fluid dynamics

Principal investigatorNSERC2021Discovery Launch Supplement

Principal investigators: Schell, Kristen

$12,500

End-to-end wind power modelling: developing physics-informed machine learning models for atmospheric fluid dynamics

Principal investigatorNSERC2021Discovery Grants Program - Individual

Principal investigators: Schell, Kristen

Keywords: wind power prediction; machine learning; deep neural networks; fluid mechanics; stochastic optimization; power systems dispatch; navier-stokes; renewable energy; climate change

$108,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

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Applying for

Mention their NSERC grant from 2023

Subject: Prospective PhD student: machine learning Dear Professor Schell, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. Your research on machine learning connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Uncertainty Informed Net Zero Energy System Modelling" (2023), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]