activity
20242026
most citedOptimal County-Level Siting of Data Centers in the United States

1 citations · 2 across the 9 of their papers we have counts for

collaborators

11 papers

eess.SY2026

Scalable Reservoir Computing for Disturbance Localization and Identification in Power Grids

Erin Obermayer, Amir Sajadi, Bri-Mathias Hodge +1

In this paper, we present a novel method for the localization and temporal waveform reconstruction of disturbances in complex power grids using observations of system state variabl…

eess.SY2026

Power Grid Infrastructure for AI Data Centers

Amir Sajadi, Muhy Eddin Za'ter, Maria Vabson +2

This article addresses recent advances in artificial intelligence, which have set off an astounding race among technology frontiers to build large data centers. It provides insight…

eess.SY2026

Synchronous Condensers: Enhancing Stability in Power Systems with Grid-Following Inverters

Amir Sajadi, Barry Mather, Bri-Mathias Hodge

Large-scale integration of inverter-based resources into power grids worldwide is challenging their stability and security. This paper takes a closer look at synchronous condensers…

eess.SY2026★ 1 cited

Optimal County-Level Siting of Data Centers in the United States

Maria Vabson, Muhy Eddin Zater, Amir Sajadi +2

Data centers are growing rapidly, creating the pressing need for the development of critical infrastructure build out to support these resource-intensive large loads. Their immense…

eess.SY2025

Asynchronous Grid Connections Providing Fast-Frequency Response: System Integration Study

Felix Wald, Amir Sajadi, Barry Mather +1

This paper presents an integration study for a power electronic-based fast-frequency response technology, an asynchronous grid connection operating as an aggregator for behindthe-m…

eess.SY2025

Computationally Efficient Analytical Models of Frequency and Voltage in Low-Inertia Systems

Marena Trujillo, Amir Sajadi, Jonathan Shaw +1

In this paper, low-order models of the frequency and voltage response of mixed-generation, low-inertia systems are presented. These models are unique in their ability to efficientl…

eess.SY2025

Analytical Models of Frequency and Voltage in Large-Scale All-Inverter Power Systems

Marena Trujillo, Amir Sajadi, Bri-Mathias Hodge

Low-order frequency response models for power systems have a decades-long history in optimization and control problems such as unit commitment, economic dispatch, and wide-area con…

eess.SY2024★ 1 cited

Autonomous Grid-Forming Inverter Exponential Droop Control for Improved Frequency Stability

Rick Wallace Kenyon, Amirhossein Sajadi, Bri-Mathias Hodge

This paper introduces the novel Droop-e grid-forming power electronic converter control strategy, which establishes a non-linear, active power--frequency droop relationship based o…

cs.LG2024

Semi-Supervised Multi-Task Learning Based Framework for Power System Security Assessment

Muhy Eddin Za'ter, Amirhossein Sajadi, Bri-Mathias Hodge

This paper develops a novel machine learning-based framework using Semi-Supervised Multi-Task Learning (SS-MTL) for power system dynamic security assessment that is accurate, relia…

eess.SY2024

Lunar Power Grid: Network Structure and Spontaneous Synchronization

Mark Walth, Amir Sajadi, Marc Carbone +1

Achieving stable synchronized operation in an alternating current power network is critical to the continuity and reliability of energy delivery. In this paper, we study a dynamic…

eess.SY2024

Plane Wave Dynamic Model of Electric Power Networks with High Shares of Inverter-Based Resources

Amirhossein Sajadi, Bri-Mathias Hodge

Contemporary theories and models for electric power system stability are predicated on a widely held assumption that the mechanical inertia of the rotating mass of synchronous gene…