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Scott Steinschneider

Cornell University

616 Thurston Ave

Ithaca, NY 14853

United States

  • Cornell University

SCHOLARLY PAPERS

2

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131

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0

Scholarly Papers (2)

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1.

The Relative Influences of Hydrologic Information and Dams’ Hydropower Scheduling Decisions on Electricity Price Forecasts

Downloads 84 (777,583)

The Relative Influences of Hydrologic Information and Dams’ Hydropower Scheduling Decisions on Electricity Price Forecasts

Number of pages: 33 Posted: 10 May 2025
Henry Ssembatya, Jordan D. Kern, Nathalie Voisin, Scott Steinschneider and Daniel Broman
North Carolina State University - Department of Civil, Construction, and Environmental Engineering, North Carolina State University - Department of Industrial Engineering, Government of the United States of America - Pacific Northwest National Laboratory, Cornell University and Government of the United States of America - Pacific Northwest National Laboratory
Downloads 56 (1,017,159)

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Hydrologic forecasts, hydropower optimization, power systems, electricity markets

The Relative Influences of Hydrologic Information and Dams’ Hydropower Scheduling Decisions on Electricity Price Forecasts

Number of pages: 33 Posted: 14 Jul 2025
Jordan D. Kern, Henry Ssembatya, Nathalie Voisin, Scott Steinschneider and Daniel Broman
North Carolina State University - Department of Industrial Engineering, North Carolina State University - Department of Civil, Construction, and Environmental Engineering, Government of the United States of America - Pacific Northwest National Laboratory, Cornell University and Government of the United States of America - Pacific Northwest National Laboratory
Downloads 28 (1,385,838)

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Hydrologic forecasts, hydropower optimization, Power systems, Electricity markets

2.

Deep Learning Error Post-Processing Improves Stochastic Watershed Models

Number of pages: 54 Posted: 05 Dec 2025
Benjamin Manoli, Sandeep Poudel, David K. Koval, Sarah Y. Murphy, Scott Steinschneider and Jonathan Lamontagne
Tufts University, Cornell University, Tufts University, affiliation not provided to SSRN, Cornell University and Tufts University - Department of Civil and Environmental Engineering
Downloads 47 (1,121,190)

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