Harsha Gangammanavar

About Harsha Gangammanavar

Harsha Gangammanavar, With an exceptional h-index of 9 and a recent h-index of 8 (since 2020), a distinguished researcher at Southern Methodist University, specializes in the field of Stochastic Programming, Operations Research, Power Systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Locational Marginal Prices Obey DC Circuit Laws

New Formulations and Pricing Mechanisms for Stochastic Electricity Market Clearing Problem

Hierarchical Graph Modeling for Multi-Scale Optimization of Power Systems

Stochastic decomposition method for two-stage distributionally robust linear optimization

Subproblem sampling vs. scenario reduction: efficacy comparison for stochastic programs in power systems applications

Towards a sustainable power grid: Stochastic hierarchical planning for high renewable integration

On the value of a multistage optimization approach for intensity-modulated radiation therapy planning

Change point detection-based simulation of nonstationary sub-hourly wind time series

Harsha Gangammanavar Information

University

Position

___

Citations(all)

334

Citations(since 2020)

261

Cited By

156

hIndex(all)

9

hIndex(since 2020)

8

i10Index(all)

9

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Harsha Gangammanavar Skills & Research Interests

Stochastic Programming

Operations Research

Power Systems

Top articles of Harsha Gangammanavar

Title

Journal

Author(s)

Publication Date

Locational Marginal Prices Obey DC Circuit Laws

Kyri Baker

Harsha Gangammanavar

2024/3/27

New Formulations and Pricing Mechanisms for Stochastic Electricity Market Clearing Problem

arXiv preprint arXiv:2305.05850

Sakitha Ariyarathne

Harsha Gangammanavar

2023/5/10

Hierarchical Graph Modeling for Multi-Scale Optimization of Power Systems

arXiv preprint arXiv:2309.10568

David L Cole

Harsha Gangammanavar

Victor M Zavala

2023/9/19

Stochastic decomposition method for two-stage distributionally robust linear optimization

SIAM Journal on Optimization

Harsha Gangammanavar

Manish Bansal

2022

Subproblem sampling vs. scenario reduction: efficacy comparison for stochastic programs in power systems applications

Energy Systems

Nahal Sakhavand

Harsha Gangammanavar

2022/12/30

Towards a sustainable power grid: Stochastic hierarchical planning for high renewable integration

European Journal of Operational Research

Semih Atakan

Harsha Gangammanavar

Suvrajeet Sen

2022/10/1

On the value of a multistage optimization approach for intensity-modulated radiation therapy planning

Physics in Medicine & Biology

Doran Wood

Sila Çetinkaya

Harsha Gangammanavar

Weigo Lu

Jing Wang

2022/7/13

Change point detection-based simulation of nonstationary sub-hourly wind time series

Applied Energy

Sakitha Ariyarathne

Harsha Gangammanavar

Raanju R Sundararajan

2022

Stochastic decomposition for two-stage stochastic linear programs with random cost coefficients

INFORMS Journal on Computing

Harsha Gangammanavar

Yifan Liu

Suvrajeet Sen

2021/1

A Cardinality Minimization Approach to Security-Constrained Economic Dispatch

IEEE Transactions on Power Systems

David Troxell

Miju Ahn

Harsha Gangammanavar

2021/12/7

Stochastic expansion planning of battery energy storage for the interconnected distribution and data networks

International Journal of Electrical Power & Energy Systems

Abdulraheem Hassan Alobaidi

Mahdi Khodayar

Ali Vafamehr

Harsha Gangammanavar

Mohammad E Khodayar

2021/12/1

Stochastic market operation for coordinated transmission and distribution systems

IEEE Transactions on Sustainable Energy

Shengfei Yin

Jianhui Wang

Harsha Gangammanavar

2021/4/27

Stochastic dynamic linear programming: A sequential sampling algorithm for multistage stochastic linear programming

SIAM Journal on Optimization

Harsha Gangammanavar

Suvrajeet Sen

2021

Stochastic optimization for flow-shop scheduling with on-site renewable energy generation using a case in the United States

Computers & Industrial Engineering

Shasha Wang

Scott J Mason

Harsha Gangammanavar

2020/11/1

Developing childhood vaccine administration and inventory replenishment policies that minimize open vial wastage

Annals of Operations Research

Zahra Azadi

Harsha Gangammanavar

Sandra Eksioglu

2020/9

Statistical estimation of operating reserve requirements using rolling horizon stochastic optimization

Annals of Operations Research

Site Wang

Harsha Gangammanavar

Sandra Ekşioğlu

Scott J Mason

2020/9

See List of Professors in Harsha Gangammanavar University(Southern Methodist University)

Co-Authors

academic-engine