Search Results for author:
Found 10 papers, 4 papers with code
On the Solution Uniqueness of Data-Driven Modeling of Flexible Loads
To address this, we analyze the structural and practical identifiability of the PFL model, deriving the condition for the solution uniqueness.
Semi-implicit Continuous Newton Method for Power Flow Analysis
This paper proposes a semi-implicit version of continuous Newton method (CNM) for power flow analysis.
Privacy-Preserved Aggregate Thermal Dynamic Model of Buildings
The thermal inertia of buildings brings considerable flexibility to the heating and cooling load, which is known to be a promising demand response resource.
Aggregate Model of District Heating Network for Integrated Energy Dispatch: A Physically Informed Data-Driven Approach
Second, we propose a physics-informed estimator for the AGM that is robust to low-quality measurements, in which the physical constraints associated with the parameter normalization and sparsity are embedded to improve the accuracy and robustness.
Image-Based Abnormal Data Detection and Cleaning Algorithm via Wind Power Curve
The mapping relationship between the wind power points and image pixel points is built to mark the wind turbine normal and abnormal data.
A Meta-analytical Comparison of Naive Bayes and Random Forest for Software Defect Prediction
We conducted a systematic literature review by establishing criteria to search and choose papers, resulting in five studies.
Computationally Enhanced Approach for Chance-Constrained OPF Considering Voltage Stability
The effective management of stochastic characteristics of renewable power generations is vital for ensuring the stable and secure operation of power systems.
Decentralized Energy Market Integrating Carbon Allowance Trade and Uncertainty Balance in Energy Communities
With the sustained attention on carbon neutrality, the personal carbon trading (PCT) scheme has been embraced as an auspicious paradigm for scaling down carbon emissions.
Non-iterative Calculation of Quasi-Dynamic Energy Flow in the Heat and Electricity Integrated Energy Systems
The kernel of the proposed algorithm is to transform these nonlinear equations into linear recursive ones, by solving which, we obtain explicit closed-form solutions of unknown variables.
Boost Distribution System Restoration with Emergency Communication Vehicles Considering Cyber-Physical Interdependence
Enhancing restoration capabilities of distribution systems is one of the main strategies for resilient power systems to cope with extreme events.
