Unscented Particle Filter Algorithm Towards Data Quality Improvement in Sustainable Distribution Power Systems

Unscented Particle Filter Algorithm Towards Data Quality Improvement in Sustainable Distribution Power Systems

Sustainable development of power and energy systems (PES) can effectively handle challenges of fuel shortage, environmental pollution, climate change, energy security, etc. Data of PES presents distinctive characteristics including large collection, wide coverage, diverse temporal and spatial scales...

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Bibliographic Details
Main Authors: Wanxing Sheng, Huaitian Zhang, Keyan Liu, Xiaoli Meng
Format: Article
Language:English
Published: China electric power research institute 2024-01-01
Series:CSEE Journal of Power and Energy Systems
Subjects:
Data quality improvement
KLD resampling
particle filter
power and energy system
unscented Kalman filter
Online Access:https://ieeexplore.ieee.org/document/10246191/

Internet

https://ieeexplore.ieee.org/document/10246191/

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