Bri-Mathias Hodge

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Associate Professor

University of Colorado Boulder

United States

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About

Bri-Mathias Hodge is an Associate Professor at the University of Colorado Boulder, United States. His research areas focus on power system security assessment, dynamic simulations, and the integration of machine learning in modern power distribution systems. He has contributed to recent articles on topics such as multi-task learning in power systems and the technical aspects of hydrogen blending in natural gas pipelines.

Recent Grants

Grant: Close

AMPS: Deep Stochastic Models for Space-Time Weather-Driven Grid Simulations

Open Date: 2019-09-01

Close Date: 2022-08-31

Grant: Close

Evaluating the Economic Efficiency of Grid Flexibility Options for Integrating High Penetrations of

Open Date: 2016-05-01

Close Date: 2016-08-01

Articles (15)

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2025

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2022

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2022

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2022

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2022

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2022

Collaborators (2)

Panagiotis Papadopoulos

University Of Strathclyde

UNITED KINGDOM

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Kenneth Loparo

Arthur L. Parker Professor

Case Western Reserve University

UNITED STATES

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Bri-Mathias Hodge

Research Interests

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About

Recent Grants

Articles (15)

Leveraging Multi-Task Learning for multi-label power system security assessment

Acceleration of Power System Dynamic Simulations Using a Deep Equilibrium Layer and Neural ODE Surrogate

Lunar Power Grid: Network Structure and Spontaneous Synchronization

Parameterized Linear Power Flow for High Fidelity Voltage Solutions in Distribution Systems

Machine learning for modern power distribution systems: Progress and perspectives

A review of technical and regulatory limits for hydrogen blending in natural gas pipelines

Interactive Power to Frequency Dynamics Between Grid-Forming Inverters and Synchronous Generators in Power Electronics-Dominated Power Systems

Introduction to the Special Section on Control and Management of Electric Power Systems With High Shares of Inverter-Based Resources

Evaluating the techno-economic potential of defossilized air-to-syngas pathways

Continuous-time echo state networks for predicting power system dynamics

Online updating of a Markovian solar forecast representation

Investigation of stochastic unit commitment to enable advanced flexibility measures for high shares of solar PV

Hierarchical Control of Utility-Scale Solar PV Plants for Mitigation of Generation Variability and Ancillary Service Provision

A review of behind-the-meter solar forecasting

A Multi-Stage Stochastic Risk Assessment With Markovian Representation of Renewable Power

Collaborators (2)

Panagiotis Papadopoulos

Kenneth Loparo

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