SCKF-LSTM-Based Trajectory Tracking for Electricity-Gas Integrated Energy System

A novel approach of tracking the dynamic trajectories for electricity-gas interconnected networks is developed in the studies, leveraging a Kalman filter-based structure. To capture the accurate system trajectories, the Holt's exponential smoothing techniques and nonlinear dynamic equations of...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on industrial informatics Jg. 21; H. 6; S. 4296 - 4305
Hauptverfasser:	Chen, Liang, Li, Yang, Cai, Jun, Gu, Songlin, Yan, Ying
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.06.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Current measurement Dynamical systems Electricity Gas pipelines Gas turbines Integrated energy system (IES) Integrated energy systems Kalman filters Long short term memory long short-term memory (LSTM) Mass flow rate Mathematical models Nonlinear dynamics Nonlinear systems Numerical analysis Pipelines Power system dynamics Predictive models Smoothing methods square-root cubature Kalman filter (SCKF) Tracking Trajectory tracking Vectors
ISSN:	1551-3203, 1941-0050
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!