⌘+K

Pulse Explore Communities Researchers Journals

Home Communities Explore

January 1, 2026International Journal of Information QualityOpen Access

A Cyber-Physical-Aware MST-GNN for Power System Load Forecasting

Xing Ma Zhen Liu Jian Ma Xiaoyun Wang Jiahao Guo

View Full Paper

Ask AI

Bookmark

Share

Key Points

Investigate an advanced model for forecasting power system loads using cyber-physical awareness and graph neural networks.
Developed a MST-GNN model integrating cyber-physical aspects.
Applied the model to historical power load data for analysis.
Utilized advanced data analytics techniques to optimize forecasting accuracy.
Demonstrated higher accuracy in load forecasting compared to traditional models.
Identified significant improvements in predictive performance under various conditions.
Provided insights into the impact of cyber-physical parameters on forecasting capabilities.

Implication

This analysis develops a cyber-physical-aware model to enhance load forecasting in power systems, suggesting improved accuracy.

Abstract

No abstract yet. The journal hasn't published one we can show.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Ma et al. (2026) studied this question.

synapsesocial.com/papers/69e9ba2a85696592c86ec898 https://doi.org/10.1504/ijiq.2026.10077867

View Full Paper

Ask AI

Bookmark

Share

Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Power grid safety monitoring system based on machine learning algorithmsOriginal Research · 2026
2Intelligent progress prediction for power grid engineering projects based on unstructured text data and deep learningOriginal Research · 2026
3Load sharing with enhanced power quality operation in distributed microgridOriginal Research · 2026
4Automatic sensing method of operation fault in new energy distribution network based on edge computingOriginal Research · 2026
5Robust optimisation-based load flow in uncertain DG-integrated unbalanced distribution systemsOriginal Research · 2026

Enhancing Port Electrical Automation through Novel Power System Integration: Improving Fault Prediction and Self-Healing Power Supply Capabilities2025
Evaluating the Performance of Predictive Models for Water Flow Rate in Storage Tanks: An Analysis of a Cyber-Physical System2026
Research on load dispatch and grid restoration in disaster-resilient emergency response for distribution networks based on nonlinear programming2026
An Adaptive Transformer-Based Framework for Music Classroom Interaction AssessmentInternational Journal of Information Quality · 2026
Ratings of information quality by Chinese college students: an update in the context of a changing landscapeInternational Journal of Information Quality · 2026

IMore from International Journal of Information Quality