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Jonathan Lamontagne

Tufts University - Department of Civil and Environmental Engineering

SCHOLARLY PAPERS

4

DOWNLOADS

248

TOTAL CITATIONS

0

Scholarly Papers (4)

1.

Exploring Sustainable Electricity System Development Pathways in South America's Mercosur Sub-Region

A.F.M. Kamal Chowdhury, Jacob Wessel, Thomas Wild, Jonathan Lamontagne, Franklyn Kanyako (2023). Exploring sustainable electricity system development pathways in South America’s MERCOSUR sub-region. Energy Strategy Reviews, Volume 49, 101150, https://doi.org/10.1016/j.esr.2023.101150
Number of pages: 15 Posted: 07 Mar 2023 Last Revised: 28 Mar 2024
University of Maryland, Tufts University - Department of Civil and Environmental Engineering, - Joint Global Change Research Institute, Tufts University - Department of Civil and Environmental Engineering and Tufts University - Department of Civil and Environmental Engineering
Downloads 107 (654,668)

Abstract:

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clean energy, capacity expansion, renewable, low-carbon transition, South America

2.

Identifying the Uncertainties and Drivers of Future Human Outcomes Through a Multisector Scenario Ensemble

Number of pages: 28 Posted: 15 Jul 2025
Tufts University, Government of the United States of America - Joint Global Change Research Institute, Massachusetts Institute of Technology (MIT) - Joint Program on the Science and Policy of Global Change, Government of the United States of America - Joint Global Change Research Institute, Stanford University, Tufts University - Department of Civil and Environmental Engineering and Independent
Downloads 55 (1,010,164)

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Human well-being outcomes, water-energy-food security, multisector dynamics model, global change scenarios, exploratory modeling, scenario discovery

3.

Deep Learning Error Post-Processing Improves Stochastic Watershed Models

Number of pages: 54 Posted: 05 Dec 2025
Tufts University, Cornell University, Tufts University, affiliation not provided to SSRN, Cornell University and Tufts University - Department of Civil and Environmental Engineering
Downloads 48 (1,121,190)

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Stochastic watershed modeling, Deterministic watershed modeling, Deep Learning, Hydrologic extremes, Climate change

4.

A Robust Two-Step Method for Detection of Outlier Sets

Number of pages: 17 Posted: 07 May 2025
affiliation not provided to SSRN, Tufts University, affiliation not provided to SSRN, Tufts University - Department of Civil and Environmental Engineering, University of Sheffield and University of Sheffield
Downloads 38 (1,236,159)

Abstract:

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Outlier sets, Outlier Set Two-step Identification (OSTI), Gaussian mixture models, Inter-cluster Mahalanobis distance