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...

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Vydáno v:	IEEE transactions on industrial informatics Ročník 21; číslo 6; s. 4296 - 4305
Hlavní autoři:	Chen, Liang, Li, Yang, Cai, Jun, Gu, Songlin, Yan, Ying
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.06.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
On-line přístup:	Získat plný text
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