GCN-LSTM spatiotemporal-network-based method for post-disturbance frequency prediction of power systems

GCN-LSTM spatiotemporal-network-based method for post-disturbance frequency prediction of power systems

Owing to the expansion of the grid interconnection scale, the spatiotemporal distribution characteristics of the frequency response of power systems after the occurrence of disturbances have become increasingly important. These characteristics can provide effective support in coordinated security co...

Full description

Bibliographic Details
Main Authors:	Dengyi Huang, Hao Liu, Tianshu Bi, Qixun Yang
Format:	Article
Language:	English
Published:	KeAi Communications Co., Ltd. 2022-02-01
Series:	Global Energy Interconnection
Subjects:	Synchronous phasor measurement Frequency-response prediction Spatiotemporal distribution characteristics Improved graph convolutional network Long short-term memory network Spatiotemporal-network structure
Online Access:	http://www.sciencedirect.com/science/article/pii/S2096511722000287

Similar Items

A New Way of Airline Traffic Prediction Based on GCN-LSTM
by: Jiangni Yu
Published: (2021-12-01)

AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting
by: Jiawei Zhu, et al.
Published: (2021-01-01)

Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks
by: Haiyang Yu, et al.
Published: (2017-06-01)

Risk Prediction of Theft Crimes in Urban Communities: An Integrated Model of LSTM and ST-GCN
by: Xinge Han, et al.
Published: (2020-01-01)

City-Wide Traffic Congestion Prediction Based on CNN, LSTM and Transpose CNN
by: Navin Ranjan, et al.
Published: (2020-01-01)

Advances in spatiotemporal graph neural network prediction research
by: Yi Wang
Published: (2023-12-01)

Spatio-temporal information enhance graph convolutional networks: A deep learning framework for ride-hailing demand prediction
by: Zhenglong Tang, et al.
Published: (2024-01-01)

An Attention-Guided Spatiotemporal Graph Convolutional Network for Sleep Stage Classification
by: Menglei Li, et al.
Published: (2022-04-01)

Spatiotemporal integration of GCN and E-LSTM networks for PM2.5 forecasting
by: Ali Kamali Mohammadzadeh, et al.
Published: (2024-03-01)

LST-GCN: Long Short-Term Memory Embedded Graph Convolution Network for Traffic Flow Forecasting
by: Xu Han, et al.
Published: (2022-07-01)

Forecasting of Short-Term Load Using the MFF-SAM-GCN Model
by: Yongqi Zou, et al.
Published: (2022-04-01)

Multi-Scale Spatiotemporal Change Characteristics Analysis of High-Frequency Disturbance Forest Ecosystem Based on Improved Spatiotemporal Cube Model
by: Yangcen Zhang, et al.
Published: (2021-06-01)

Spatiotemporal distribution prediction of gas concentration based on GCN-GRU
by: QIN Jiaxin, et al.
Published: (2023-05-01)

TreeLSTM: A spatiotemporal machine learning model for rainfall-runoff estimation
by: Zeqiang Chen, et al.
Published: (2023-08-01)

Densely Connected Convolutional Networks With Attention LSTM for Crowd Flows Prediction
by: Wei Li, et al.
Published: (2019-01-01)

Research on short-term load forecasting of new-type power system based on GCN-LSTM considering multiple influencing factors
by: Houhe Chen, et al.
Published: (2023-10-01)

EVHF-GCN: An Emergency Vehicle Priority Scheduling Model Based on Heterogeneous Feature Fusion With Graph Convolutional Networks
by: Jianxin Feng, et al.
Published: (2024-01-01)

Network SpaceTime AI: Concepts, Methods and Applications
by: Tao CHENG,Yang ZHANG,James HAWORTH
Published: (2022-09-01)

A Spatiotemporal Coupling Calculation-Based Short-Term Wind Farm Cluster Power Prediction Method
by: Haochen Li, et al.
Published: (2023-01-01)

Classifying Musical Instrument Using Spatiotemporal Features with Deep Neural Networks
by: Chai Xiu CHIAH, et al.
Published: (2023-12-01)

Deep Learning-Based Prediction of Wind Power for Multi-turbines in a Wind Farm
by: Xiaojiao Chen, et al.
Published: (2021-07-01)

Lip Reading by Alternating between Spatiotemporal and Spatial Convolutions
by: Dimitrios Tsourounis, et al.
Published: (2021-05-01)

Time-Evolving Graph Convolutional Recurrent Network for Traffic Prediction
by: Weimin Mai, et al.
Published: (2022-03-01)

A Hybrid Deep Learning Algorithm for Tropospheric Zenith Wet Delay Modeling with the Spatiotemporal Variation Considered
by: Yin Wu, et al.
Published: (2024-01-01)

Spatiotemporal Prediction of PM2.5 Concentrations at Different Time Granularities Using IDW-BLSTM
by: Jun Ma, et al.
Published: (2019-01-01)

Self-Supervised Spatiotemporal Masking Strategy-Based Models for Traffic Flow Forecasting
by: Gang Liu, et al.
Published: (2023-10-01)

Assessing the Impact of Neighborhood Size on Temporal Convolutional Networks for Modeling Land Cover Change
by: Alysha van Duynhoven, et al.
Published: (2022-10-01)

Simulation of Pollution Load at Basin Scale Based on LSTM-BP Spatiotemporal Combination Model
by: Li Li, et al.
Published: (2021-02-01)

Production Forecasting Based on Attribute-Augmented Spatiotemporal Graph Convolutional Network for a Typical Carbonate Reservoir in the Middle East
by: Meng Gao, et al.
Published: (2022-12-01)

A Comparison of Power Quality Disturbance Detection and Classification Methods Using CNN, LSTM and CNN-LSTM
by: Carlos Iturrino Garcia, et al.
Published: (2020-09-01)

Spatiotemporal Graph Convolutional Network for Multi-Scale Traffic Forecasting
by: Yi Wang, et al.
Published: (2022-02-01)

Autonomous Exploration of Mobile Robots via Deep Reinforcement Learning Based on Spatiotemporal Information on Graph
by: Zhiwen Zhang, et al.
Published: (2021-09-01)

A Correlation-Based Anomaly Detection Model for Wireless Body Area Networks Using Convolutional Long Short-Term Memory Neural Network
by: Albatul Albattah, et al.
Published: (2022-03-01)

Identification of autism spectrum disorder based on functional near-infrared spectroscopy using adaptive spatiotemporal graph convolution network
by: Haoran Zhang, et al.
Published: (2023-03-01)

Mining Spatiotemporal Diffusion Network: A New Framework of Active Surveillance Planning
by: Hechang Chen, et al.
Published: (2019-01-01)

Action Recognition Based on Two-Stream Convolutional Networks With Long-Short-Term Spatiotemporal Features
by: Yanqin Wan, et al.
Published: (2020-01-01)

PMGCN: Progressive Multi-Graph Convolutional Network for Traffic Forecasting
by: Zhenxin Li, et al.
Published: (2023-06-01)

Ollivier–Ricci Curvature Based Spatio-Temporal Graph Neural Networks for Traffic Flow Forecasting
by: Xing Han, et al.
Published: (2023-04-01)

Graph Reasoning-Based Emotion Recognition Network
by: Qinquan Gao, et al.
Published: (2021-01-01)

Multi-Scale Residual Depthwise Separable Convolution for Metro Passenger Flow Prediction
by: Taoying Li, et al.
Published: (2023-10-01)