Prediction of Temporal Operational Risks in Power System Based on Deep Neural Networks

Author:

Zhen Lei1,Ji Zhang2,Liudong Zhang1,Qi Li2

Affiliation:

1. State Grid Jiangsu Electric Power Co. Ltd,Nanjing,China

2. State Grid Electric Power Research Institute,Nari Group Corporation,Nanjing,China

Funder

State Grid Corporation of China

Publisher

IEEE

Reference13 articles.

1. Convex Hull Based Robust Security Region for Electricity-Gas Integrated Energy Systems

2. Risk assessment of power imbalance for power systems with wind power integration considering governor ramp rate of conventional units

3. Key technologies and developing challenges of power system with high proportion of renewable energy;Zhenyu;Automation of Electric Power Systems,2021

4. Research Status and Prospect of New-type Power System Risk Assessment;Chuangxin;High Voltage Engineering,2022

5. Estimation and Validation of Characteristic Load Profile Through Smart Grid Trials in a Medium Voltage Distribution Network

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