Pranav Jain

College of Engineering

Works (4)

Updated: January 27th, 2026 10:19

2025 article

Dynamic Calibration of Digital Twin via Stochastic Simulation: A Wind Energy Case Study

Jeon, Y., Shashaani, S., Byon, E., & Jain, P. (2025, December 7). (Vol. 12). Vol. 12.

By: Y. Jeon n, S. Shashaani n, E. Byon* & P. Jain n

topics (OpenAlex): Wind Energy Research and Development; Real-time simulation and control systems; Advanced Aircraft Design and Technologies
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UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: NC State University Libraries, NC State University Libraries
Added: January 26, 2026

2024 article

Simulation model calibration with dynamic stratification and adaptive sampling

Jain, P., Shashaani, S., & Byon, E. (2024, November 1). Journal of Simulation, Vol. 11.

By: P. Jain n, S. Shashaani n & E. Byon*

author keywords: Data-driven calibration; heteroscedasticity; post-stratification; trust-region optimization
topics (OpenAlex): Simulation Techniques and Applications; Probabilistic and Robust Engineering Design; Advanced Multi-Objective Optimization Algorithms
Sources: Web Of Science, ORCID, NC State University Libraries
Added: November 1, 2024

2023 article

Wake effect parameter calibration with large-scale field operational data using stochastic optimization

Jain, P., Shashaani, S., & Byon, E. (2023, June 28). Applied Energy, Vol. 347.

By: P. Jain n, S. Shashaani n & E. Byon*

author keywords: Offshore wind energy; Calibration; Wake model
topics (OpenAlex): Wind Energy Research and Development; Wind and Air Flow Studies; Turbomachinery Performance and Optimization
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: June 29, 2023

2022 article

Robust Simulation Optimization with Stratification

Jain, P., Byon, E., & Shashaani, S. (2022, December 11). 2022 Winter Simulation Conference (WSC), pp. 2246–2257.

By: P. Jain n, E. Byon* & S. Shashaani n

topics (OpenAlex): Simulation Techniques and Applications; Machine Learning and Algorithms; Statistical Methods and Bayesian Inference
TL;DR: This study shows that an adaptive sampling class of simulation optimization solvers called ASTRO-DF could become more robust with stratification, S-ASTRO-DF, and finds that while stratified sampling improves the algorithm's performance, its robustness is sensitive to the stratification structure. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: September 5, 2023

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