On-Meter Graph Machine Learning: A Case Study of PV Power Forecasting for Grid Edge Intelligence
Fuente:
arXiv
Saved in:
| Main Authors: | Huang, Jian, Ming, Zixiang, Zhu, Yongli, Xu, Linna |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Embedded Machine Learning for Solar PV Power Regulation in a Remote Microgrid
by: Zhu, Yongli, et al.
Published: (2024)
by: Zhu, Yongli, et al.
Published: (2024)
Generative Modeling and Data Augmentation for Power System Production Simulation
by: Xu, Linna, et al.
Published: (2024)
by: Xu, Linna, et al.
Published: (2024)
On-Device Training of PV Power Forecasting Models in a Smart Meter for Grid Edge Intelligence
by: Huang, Jian, et al.
Published: (2025)
by: Huang, Jian, et al.
Published: (2025)
Edge Computing for Microgrid via MATLAB Embedded Coder and Low-Cost Smart Meters
by: Xu, Linna, et al.
Published: (2024)
by: Xu, Linna, et al.
Published: (2024)
Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation
by: Meng, Bo, et al.
Published: (2025)
by: Meng, Bo, et al.
Published: (2025)
Diffusion-assisted Model Predictive Control Optimization for Power System Real-Time Operation
by: Xu, Linna, et al.
Published: (2025)
by: Xu, Linna, et al.
Published: (2025)
Agentic Application in Power Grid Static Analysis: Automatic Code Generation and Error Correction
by: Wang, Qinjuan, et al.
Published: (2026)
by: Wang, Qinjuan, et al.
Published: (2026)
Graph Embedding Dynamic Feature-based Supervised Contrastive Learning of Transient Stability for Changing Power Grid Topologies
by: Lv, Zijian, et al.
Published: (2023)
by: Lv, Zijian, et al.
Published: (2023)
Multi-Objective Reinforcement Learning for Power Grid Topology Control
by: Lautenbacher, Thomas, et al.
Published: (2025)
by: Lautenbacher, Thomas, et al.
Published: (2025)
Offline Reinforcement Learning for Microgrid Voltage Regulation
by: Yang, Shan, et al.
Published: (2025)
by: Yang, Shan, et al.
Published: (2025)
PowerGrow: Feasible Co-Growth of Structures and Dynamics for Power Grid Synthesis
by: He, Xinyu, et al.
Published: (2025)
by: He, Xinyu, et al.
Published: (2025)
Virtual Smart Metering in District Heating Networks via Heterogeneous Spatial-Temporal Graph Neural Networks
by: Niresi, Keivan Faghih, et al.
Published: (2026)
by: Niresi, Keivan Faghih, et al.
Published: (2026)
Imitation Learning for Intra-Day Power Grid Operation through Topology Actions
by: de Jong, Matthijs, et al.
Published: (2024)
by: de Jong, Matthijs, et al.
Published: (2024)
Optimizing Power Grid Topologies with Reinforcement Learning: A Survey of Methods and Challenges
by: van der Sar, Erica, et al.
Published: (2025)
by: van der Sar, Erica, et al.
Published: (2025)
Optimal Power Grid Operations with Foundation Models
by: Puech, Alban, et al.
Published: (2024)
by: Puech, Alban, et al.
Published: (2024)
Time and Frequency Domain-based Anomaly Detection in Smart Meter Data for Distribution Network Studies
by: Labura, Petar, et al.
Published: (2025)
by: Labura, Petar, et al.
Published: (2025)
Thermodynamic Liquid Manifold Networks: Physics-Bounded Deep Learning for Solar Forecasting in Autonomous Off-Grid Microgrids
by: Abdullah, Mohammed Ezzaldin Babiker
Published: (2026)
by: Abdullah, Mohammed Ezzaldin Babiker
Published: (2026)
Preparing for Black Swans: The Antifragility Imperative for Machine Learning
by: Jin, Ming
Published: (2024)
by: Jin, Ming
Published: (2024)
Synergies between Federated Foundation Models and Smart Power Grids
by: Hosseinalipour, Seyyedali, et al.
Published: (2025)
by: Hosseinalipour, Seyyedali, et al.
Published: (2025)
Leveraging the Potential of Novel Data in Power Line Communication of Electricity Grids
by: Balada, Christoph, et al.
Published: (2022)
by: Balada, Christoph, et al.
Published: (2022)
Physics-Informed State Space Models for Reliable Solar Irradiance Forecasting in Off-Grid Systems
by: Abdullah, Mohammed Ezzaldin Babiker
Published: (2026)
by: Abdullah, Mohammed Ezzaldin Babiker
Published: (2026)
Fair Reinforcement Learning Algorithm for PV Active Control in LV Distribution Networks
by: Vassallo, Maurizio, et al.
Published: (2024)
by: Vassallo, Maurizio, et al.
Published: (2024)
Sustainable Edge Intelligence Through Energy-Aware Early Exiting
by: Bullo, Marcello, et al.
Published: (2023)
by: Bullo, Marcello, et al.
Published: (2023)
Latency-Aware Deep Learning Benchmark for Real-Time Cyber-Physical Attack and Fault Classification in Inverter-Dominated Power Grids
by: Abukhousa, Emad, et al.
Published: (2026)
by: Abukhousa, Emad, et al.
Published: (2026)
Towards Efficient Multi-Objective Optimisation for Real-World Power Grid Topology Control
by: Manyari, Yassine El, et al.
Published: (2025)
by: Manyari, Yassine El, et al.
Published: (2025)
PowerModelsGAT-AI: Physics-Informed Graph Attention for Multi-System Power Flow with Continual Learning
by: Ezeakunne, Chidozie, et al.
Published: (2026)
by: Ezeakunne, Chidozie, et al.
Published: (2026)
Fine-Tuning LLMs to Generate Economical and Reliable Actions for the Power Grid
by: Chehade, Mohamad, et al.
Published: (2026)
by: Chehade, Mohamad, et al.
Published: (2026)
Forecasting Day-Ahead Electricity Prices in the Integrated Single Electricity Market: Addressing Volatility with Comparative Machine Learning Methods
by: Harkin, Ben, et al.
Published: (2024)
by: Harkin, Ben, et al.
Published: (2024)
Grid-Agent: An LLM-Powered Multi-Agent System for Power Grid Control
by: Zhang, Yan, et al.
Published: (2025)
by: Zhang, Yan, et al.
Published: (2025)
Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System
by: Zhang, Ruining, et al.
Published: (2023)
by: Zhang, Ruining, et al.
Published: (2023)
Reinforcement Learning with Model Predictive Control for Highway Ramp Metering
by: Airaldi, Filippo, et al.
Published: (2023)
by: Airaldi, Filippo, et al.
Published: (2023)
X-GridAgent: An LLM-Powered Agentic AI System for Assisting Power Grid Analysis
by: Yihan, et al.
Published: (2025)
by: Yihan, et al.
Published: (2025)
PowerFlowNet: Power Flow Approximation Using Message Passing Graph Neural Networks
by: Lin, Nan, et al.
Published: (2023)
by: Lin, Nan, et al.
Published: (2023)
Structured Reinforcement Learning for Media Streaming at the Wireless Edge
by: Bura, Archana, et al.
Published: (2024)
by: Bura, Archana, et al.
Published: (2024)
Operational Wind Speed Forecasts for Chile's Electric Power Sector Using a Hybrid ML Model
by: Suri, Dhruv, et al.
Published: (2024)
by: Suri, Dhruv, et al.
Published: (2024)
An Unsupervised Adversarial Autoencoder for Cyber Attack Detection in Power Distribution Grids
by: Zideh, Mehdi Jabbari, et al.
Published: (2024)
by: Zideh, Mehdi Jabbari, et al.
Published: (2024)
Adaptive Intelligent Secondary Control of Microgrids Using a Biologically-Inspired Reinforcement Learning
by: Jafari, Mohammad, et al.
Published: (2019)
by: Jafari, Mohammad, et al.
Published: (2019)
A Deep Q-Learning based Smart Scheduling of EVs for Demand Response in Smart Grids
by: Chifu, Viorica Rozina, et al.
Published: (2024)
by: Chifu, Viorica Rozina, et al.
Published: (2024)
Foundation Models for the Electric Power Grid
by: Hamann, Hendrik F., et al.
Published: (2024)
by: Hamann, Hendrik F., et al.
Published: (2024)
Algorithmic Control Improves Residential Building Energy and EV Management when PV Capacity is High but Battery Capacity is Low
by: Ullner, Lennart, et al.
Published: (2025)
by: Ullner, Lennart, et al.
Published: (2025)
Similar Items
-
Embedded Machine Learning for Solar PV Power Regulation in a Remote Microgrid
by: Zhu, Yongli, et al.
Published: (2024) -
Generative Modeling and Data Augmentation for Power System Production Simulation
by: Xu, Linna, et al.
Published: (2024) -
On-Device Training of PV Power Forecasting Models in a Smart Meter for Grid Edge Intelligence
by: Huang, Jian, et al.
Published: (2025) -
Edge Computing for Microgrid via MATLAB Embedded Coder and Low-Cost Smart Meters
by: Xu, Linna, et al.
Published: (2024) -
Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation
by: Meng, Bo, et al.
Published: (2025)