Dongchen Hou
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Suitability Assessment and Implementation Methodologies for Rural Waste Management of Selected Districts of Beijing Open
At present, with the increasing global awareness of sustainable development and environmental protection, significant attention has been directed toward the ecological living environment in rural areas. Selecting appropriate rural waste tr…
Resilience Regeneration Priorities for Old Blocks Based on Public Satisfaction: A Case Study of Beijing, China Open
In the process of urban development, old blocks face issues such as long construction times, outdated buildings and facilities, and poor environmental quality, which do not meet the current requirements for the construction and development…
Evaluation of Public Space in Beijing’s Old Residential Communities from a Female-Friendly Perspective Open
Female-friendly public spaces are crucial for the sustainable development of old residential communities. To advance the development of female-friendly public spaces in Beijing’s old residential communities, this study employs a method tha…
Sustainability Constraints on Rural Road Infrastructure Open
Research on the sustainability of rural roads is of great significance to the integrated promotion of rural habitat improvement, the maintenance of regional ecological patterns, and the implementation of the rural revitalization strategy. …
View article: Adaptive Two-stage Unscented Kalman Filter for Dynamic State Estimation of Synchronous Generator Under Cyber Attacks Against Measurements
Adaptive Two-stage Unscented Kalman Filter for Dynamic State Estimation of Synchronous Generator Under Cyber Attacks Against Measurements Open
This paper develops an adaptive two-stage unscented Kalman filter (ATSUKF) to accurately track operation states of the synchronous generator (SG) under cyber attacks. To achieve high fidelity, considering the excitation system of SGs, a de…
View article: Dynamic State Estimation of Power Systems with Uncertainties Based on Robust Adaptive Unscented Kalman Filter
Dynamic State Estimation of Power Systems with Uncertainties Based on Robust Adaptive Unscented Kalman Filter Open
In this paper, a robust adaptive unscented Kalman filter (RAUKF) is developed to mitigate the unfavorable effects derived from uncertainties in noise and in the model. To address these issues, a robust M-estimator is first utilized to upda…
A New Hybrid Short-Term Interval Forecasting of PV Output Power Based on EEMD-SE-RVM Open
The main characteristics of the photovoltaic (PV) output power are the randomness and uncertainty, such features make it not easy to establish an accurate forecasting method. The accurate short-term forecasting of PV output power has great…
Adaptive Robust Cubature Kalman Filter for Power System Dynamic State Estimation Against Outliers Open
This paper develops an adaptive robust cubature Kalman lter (ARCKF) that is able to mitigate the adverse effects of the innovation and observation outliers while ltering out the system and measurement noises. To develop the ARCKF dynamic s…
Adaptive Robust Cubature Kalman Filter for Power System Dynamic State Estimation Against Outliers Open
This paper develops an adaptive robust cubature Kalman filter (ARCKF) that is able to mitigate the adverse effects of the innovation and observation outliers while filtering out the system and measurement noises. To develop the ARCKF dynam…