A dynamic state estimation method for integrated energy system based on radial basis kernel function

• Main Authors: Chen, Tengpeng, Luo, Hongxuan, Foo, Eddy Yi Shyh, Amaratunga, Gehan A. J.
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Article
• 語言: English
• 出版: 2024
• 主題: Engineering; Non-Gaussian noise; Radial basis kernel function
• 在線閱讀: https://hdl.handle.net/10356/180352
• 機構: Nanyang Technological University

For state estimation (SE) of dynamic electro-thermal gas coupled systems, measurements usually assume that the measurement noise obeys a Gaussian distribution. The extended Kalman filter and the unscented Kalman filter (UKF) are some of the widely used estimation methods in SE. However, the measurem...