Work

State Estimation Using the Unscented Kalman Filter in Nodal Redundancy for EPS

Year: 2025

Type: conference-paper

Source: International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)

DOI: 10.1109/acdsa65407.2025.11166229

Authors: Henrry Moyano, Patricio Diaz, Edgar Becerra

Institution: University of Cuenca

Language: English

Topic: Power System Optimization and Stability

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4414462866

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