Work

Performance Assessment of Data Sampling Strategies for Neural Network-Based Voltage Approximations

Year: 2024

Type: conference-paper

Source: North American Power Symposium (NAPS)

DOI: 10.1109/naps61145.2024.10741775

Authors: Richard Asiamah, Rahul K. Gupta, Rabab Haider, Daniel K. Molzahn

Institution: Georgia Institute of Technology

Language: English

Topic: Power System Optimization and Stability

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

Funder: National Science Foundation

Award: CAREER: Overcoming Nonlinearities, Uncertainties, and Discreteness to Mitigate the Impacts of Extreme Events on Electric Power Systems

OpenAlex ID: W4404133081

FWCI:

Cites: 35

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Related to: 10