activity
20232026
most citedTowards Input-Convex Neural Network Modeling for Battery Optimization in Power Systems

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2026

Maximizing Power Flexibility of Hybrid Energy Systems for Capacity Market

Tanmay Mishra, Mads R Almassalkhi

Hybrid Energy Systems (HES), integrating generation sources, energy storage, and controllable loads, are well-positioned to provide real-time grid flexibility. However, quantifying…

eess.SY2025

Experimental Multi-site Testbed for Advanced Control and Optimization of Hybrid Energy Systems

Arash Omidi, Tanmay Mishra, Mads R. Almassalkhi

This paper presents a hybrid energy system (HES) experimental testbed developed at the University of Vermont, featuring a dual-site architecture that integrates on-campus laborator…

eess.SY2025

Optimal Bidding and Coordinated Dispatch of Hybrid Energy Systems in Regulation Markets

Tanmay Mishra, Dakota Hamilton, Mads R. Almassalkhi

The increasing integration of renewable energy sources and distributed energy resources (DER) into modern power systems introduces significant uncertainty, posing challenges for ma…

eess.SY2024★ 2 cited

Towards Input-Convex Neural Network Modeling for Battery Optimization in Power Systems

Arash Omidi, Tanmay Mishra, Mads R. Almassalkhi

Battery energy storage systems (BESS) play an increasingly vital role in integrating renewable generation into power grids due to their ability to dynamically balance supply. Grid-…

math.OC2023

Predictive Optimization of Hybrid Energy Systems with Temperature Dependency

Tanmay Mishra, Amritanshu Pandey, Mads R. Almassalkhi

Hybrid Energy Systems (HES), amalgamating renewable sources, energy storage, and conventional generation, have emerged as a responsive resource for providing valuable grid services…