Large Grid Risk Warning Assessment Prediction Based on LSTM Model and Apriori Algorithm for Dense Transmission Corridors

Author:

Ye Haifeng1,Li Zhi1,Sun Fei1,He Anming1,Wu Ligang1,Wang Chuanyan1,Li Yangyue1

Affiliation:

1. State Grid Anhui Electric Power Co., Ltd,Hefei,China

Publisher

IEEE

Reference20 articles.

1. A Recognition Method for Time-domain Waveform Images of Electric Traction Network Overvoltage Based on Deep Learning[J];jia;IOP Conference Series Earth and Environmental Science,2021

2. Diagnostics of the technical condition of electric network equipment based on fuzzy expert estimates[J];sergey;Energy Reports,2020

3. The Concept of Constructing an Artificial Dispatcher Intelligent System Based on Deep Reinforcement Learning for the Automatic Control System of Electric Networks

4. Machine Learning Approach to Model Order Reduction of Nonlinear Systems via Autoencoder and LSTM Networks[J];thomas;Journal of Engineering Mechanics,2021

5. Human trajectory prediction and generation using LSTM models and GANs[J];luca;Pattern Recognition,2021

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