Grid Monitoring with Synchro-Waveform and AI Foundation Model Technologies
Fuente:
arXiv
Guardado en:
| Autores principales: | Tong, Lang, Wang, Xinyi, Zhao, Qing |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Data-Efficient Physics-Informed Learning to Model Synchro-Waveform Dynamics of Grid-Integrated Inverter-Based Resources
por: Tripathi, Shivanshu, et al.
Publicado: (2026)
por: Tripathi, Shivanshu, et al.
Publicado: (2026)
Optimal Power Grid Operations with Foundation Models
por: Puech, Alban, et al.
Publicado: (2024)
por: Puech, Alban, et al.
Publicado: (2024)
Synergies between Federated Foundation Models and Smart Power Grids
por: Hosseinalipour, Seyyedali, et al.
Publicado: (2025)
por: Hosseinalipour, Seyyedali, et al.
Publicado: (2025)
AI Foundation Model for Time Series with Innovations Representation
por: Tong, Lang, et al.
Publicado: (2025)
por: Tong, Lang, et al.
Publicado: (2025)
Foundation Models for the Electric Power Grid
por: Hamann, Hendrik F., et al.
Publicado: (2024)
por: Hamann, Hendrik F., et al.
Publicado: (2024)
FM-CAC: Carbon-Aware Control for Battery-Buffered Edge AI via Time-Series Foundation Models
por: Yang, Kang, et al.
Publicado: (2026)
por: Yang, Kang, et al.
Publicado: (2026)
Physics-Informed Learning of Proprietary Inverter Models for Grid Dynamic Studies
por: Kwon, Kyung-Bin, et al.
Publicado: (2025)
por: Kwon, Kyung-Bin, et al.
Publicado: (2025)
State and Action Factorization in Power Grids
por: Losapio, Gianvito, et al.
Publicado: (2024)
por: Losapio, Gianvito, et al.
Publicado: (2024)
Generative Probabilistic Time Series Forecasting and Applications in Grid Operations
por: Wang, Xinyi, et al.
Publicado: (2024)
por: Wang, Xinyi, et al.
Publicado: (2024)
Runtime Monitoring and Fault Detection for Neural Network-Controlled Systems
por: Lan, Jianglin, et al.
Publicado: (2024)
por: Lan, Jianglin, et al.
Publicado: (2024)
On the Foundation of Distributionally Robust Reinforcement Learning
por: Wang, Shengbo, et al.
Publicado: (2023)
por: Wang, Shengbo, et al.
Publicado: (2023)
Beyond expected value: geometric mean optimization for long-term policy performance in reinforcement learning
por: Sheng, Xinyi, et al.
Publicado: (2025)
por: Sheng, Xinyi, et al.
Publicado: (2025)
Complex-Value Spatio-temporal Graph Convolutional Neural Networks and its Applications to Electric Power Systems AI
por: Wu, Tong, et al.
Publicado: (2022)
por: Wu, Tong, et al.
Publicado: (2022)
User-centric Vehicle-to-Grid Optimization with an Input Convex Neural Network-based Battery Degradation Model
por: Mallick, Arghya, et al.
Publicado: (2025)
por: Mallick, Arghya, et al.
Publicado: (2025)
Learning Contextual Runtime Monitors for Safe AI-Based Autonomy
por: Luque-Cerpa, Alejandro, et al.
Publicado: (2026)
por: Luque-Cerpa, Alejandro, et al.
Publicado: (2026)
Multilayer GNN for Predictive Maintenance and Clustering in Power Grids
por: Kazim, Muhammad, et al.
Publicado: (2025)
por: Kazim, Muhammad, et al.
Publicado: (2025)
Conformal Predictive Programming for Chance Constrained Optimization
por: Zhao, Yiqi, et al.
Publicado: (2024)
por: Zhao, Yiqi, et al.
Publicado: (2024)
Quantum-Enhanced Reinforcement Learning for Power Grid Security Assessment
por: Peter, Benjamin M., et al.
Publicado: (2025)
por: Peter, Benjamin M., et al.
Publicado: (2025)
Physics-Informed Inductive Biases for Voltage Prediction in Distribution Grids
por: Okoyomon, Ehimare, et al.
Publicado: (2025)
por: Okoyomon, Ehimare, et al.
Publicado: (2025)
Federated Learning Forecasting for Strengthening Grid Reliability and Enabling Markets for Resilience
por: Pereira, Lucas, et al.
Publicado: (2024)
por: Pereira, Lucas, et al.
Publicado: (2024)
Anomaly Detection with Machine Learning Algorithms in Large-Scale Power Grids
por: Gillioz, Marc, et al.
Publicado: (2026)
por: Gillioz, Marc, et al.
Publicado: (2026)
Scaling Laws of Machine Learning for Optimal Power Flow
por: Liu, Xinyi, et al.
Publicado: (2026)
por: Liu, Xinyi, et al.
Publicado: (2026)
PowerGrow: Feasible Co-Growth of Structures and Dynamics for Power Grid Synthesis
por: He, Xinyu, et al.
Publicado: (2025)
por: He, Xinyu, et al.
Publicado: (2025)
CommonPower: A Framework for Safe Data-Driven Smart Grid Control
por: Eichelbeck, Michael, et al.
Publicado: (2024)
por: Eichelbeck, Michael, et al.
Publicado: (2024)
PowerGNN: A Topology-Aware Graph Neural Network for Electricity Grids
por: Suri, Dhruv, et al.
Publicado: (2025)
por: Suri, Dhruv, et al.
Publicado: (2025)
Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data
por: Li, Yunfeng, et al.
Publicado: (2025)
por: Li, Yunfeng, et al.
Publicado: (2025)
Physics Informed Reinforcement Learning with Gibbs Priors for Topology Control in Power Grids
por: Dogoulis, Pantelis, et al.
Publicado: (2026)
por: Dogoulis, Pantelis, et al.
Publicado: (2026)
Data Enrichment Opportunities for Distribution Grid Cable Networks using Variational Autoencoders
por: Sundsgaard, Konrad, et al.
Publicado: (2025)
por: Sundsgaard, Konrad, et al.
Publicado: (2025)
Unsupervised Anomaly Detection in Multi-Agent Trajectory Prediction via Transformer-Based Models
por: Lyu, Qing, et al.
Publicado: (2026)
por: Lyu, Qing, et al.
Publicado: (2026)
Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF
por: Holtmann, Tobin, et al.
Publicado: (2025)
por: Holtmann, Tobin, et al.
Publicado: (2025)
Foundation Models for CPS-IoT: Opportunities and Challenges
por: Baris, Ozan, et al.
Publicado: (2025)
por: Baris, Ozan, et al.
Publicado: (2025)
Mechanistic Foundations of Goal-Directed Control
por: Lago, Alma
Publicado: (2026)
por: Lago, Alma
Publicado: (2026)
Empirical evaluation of Time Series Foundation Models for Day-ahead and Imbalance Electricity Price Forecasting in Belgium
por: Bui, Chi, et al.
Publicado: (2026)
por: Bui, Chi, et al.
Publicado: (2026)
Robust Defense Against Extreme Grid Events Using Dual-Policy Reinforcement Learning Agents
por: Peter, Benjamin M., et al.
Publicado: (2024)
por: Peter, Benjamin M., et al.
Publicado: (2024)
Predicting Fault-Ride-Through Probability of Inverter-Dominated Power Grids using Machine Learning
por: Nauck, Christian, et al.
Publicado: (2024)
por: Nauck, Christian, et al.
Publicado: (2024)
Efficient and Robust Freeway Traffic Speed Estimation under Oblique Grid using Vehicle Trajectory Data
por: He, Yang, et al.
Publicado: (2024)
por: He, Yang, et al.
Publicado: (2024)
Toward Adaptive Grid Resilience: A Gradient-Free Meta-RL Framework for Critical Load Restoration
por: Abdeen, Zain ul, et al.
Publicado: (2026)
por: Abdeen, Zain ul, et al.
Publicado: (2026)
Fast Transient Stability Prediction Using Grid-informed Temporal and Topological Embedding Deep Neural Network
por: Sun, Peiyuan, et al.
Publicado: (2022)
por: Sun, Peiyuan, et al.
Publicado: (2022)
Distribution Grid Line Outage Identification with Unknown Pattern and Performance Guarantee
por: Xiao, Chenhan, et al.
Publicado: (2023)
por: Xiao, Chenhan, et al.
Publicado: (2023)
Anomaly Detection in Smart Power Grids with Graph-Regularized MS-SVDD: a Multimodal Subspace Learning Approach
por: Debelle, Thomas, et al.
Publicado: (2025)
por: Debelle, Thomas, et al.
Publicado: (2025)
Ejemplares similares
-
Data-Efficient Physics-Informed Learning to Model Synchro-Waveform Dynamics of Grid-Integrated Inverter-Based Resources
por: Tripathi, Shivanshu, et al.
Publicado: (2026) -
Optimal Power Grid Operations with Foundation Models
por: Puech, Alban, et al.
Publicado: (2024) -
Synergies between Federated Foundation Models and Smart Power Grids
por: Hosseinalipour, Seyyedali, et al.
Publicado: (2025) -
AI Foundation Model for Time Series with Innovations Representation
por: Tong, Lang, et al.
Publicado: (2025) -
Foundation Models for the Electric Power Grid
por: Hamann, Hendrik F., et al.
Publicado: (2024)