Cover Image

Learning a Generalized Model for Substation Level Voltage Estimation in Distribution Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Za'ter, Muhy Eddin, Hodge, Bri-Mathias
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Residual Correction Models for AC Optimal Power Flow Using DC Optimal Power Flow Solutions
by: Za'ter, Muhy Eddin, et al.
Published: (2025)

Leveraging Multi-Task Learning for Multi-Label Power System Security Assessment
by: Za'ter, Muhy Eddin, et al.
Published: (2025)

Semi-Supervised Multi-Task Learning Based Framework for Power System Security Assessment
by: Za'ter, Muhy Eddin, et al.
Published: (2024)

Empirical Assessment of Time-Series Foundation Models For Power System Forecasting Applications
by: Za'ter, Muhy Eddin, et al.
Published: (2026)

A Multi-Stage Warm-Start Deep Learning Framework for Unit Commitment
by: Za'ter, Muhy Eddin, et al.
Published: (2026)

Modelling of a DC-DC Buck Converter Using Long-Short-Term-Memory (LSTM)
by: Za'ter, Muhy Eddin
Published: (2022)

Power Grid Infrastructure for AI Data Centers
by: Sajadi, Amir, et al.
Published: (2026)

Optimal County-Level Siting of Data Centers in the United States
by: Vabson, Maria, et al.
Published: (2026)

Selective State-Space Models for Koopman-based Data-driven Distribution System State Estimation
by: Alabdulrazzaq, Bader, et al.
Published: (2026)

Analytical Models of Frequency and Voltage in Large-Scale All-Inverter Power Systems
by: Trujillo, Marena, et al.
Published: (2025)

Plane Wave Dynamic Model of Electric Power Networks with High Shares of Inverter-Based Resources
by: Sajadi, Amirhossein, et al.
Published: (2024)

Computationally Efficient Analytical Models of Frequency and Voltage in Low-Inertia Systems
by: Trujillo, Marena, et al.
Published: (2025)

Fair Reinforcement Learning Algorithm for PV Active Control in LV Distribution Networks
by: Vassallo, Maurizio, et al.
Published: (2024)

A New Benchmark for Evaluating Automatic Speech Recognition in the Arabic Call Domain
by: Obaidah, Qusai Abo, et al.
Published: (2024)

Large Language Model Powered Automated Modeling and Optimization of Active Distribution Network Dispatch Problems
by: Yang, Xu, et al.
Published: (2025)

Interpretable Event Diagnosis in Water Distribution Networks
by: Artelt, André, et al.
Published: (2025)

Factor Graph Optimization for Leak Localization in Water Distribution Networks
by: Irofti, Paul, et al.
Published: (2025)

Task-Level Insights from Eigenvalues across Sequence Models
by: Rickenbach, Rahel, et al.
Published: (2025)

Inverse Design in Distributed Circuits Using Single-Step Reinforcement Learning
by: Li, Jiayu, et al.
Published: (2025)

Privacy-Preserving Federated Learning Framework for Distributed Chemical Process Optimization
by: Pipattaratonchai, Teetat, et al.
Published: (2026)

Time and Frequency Domain-based Anomaly Detection in Smart Meter Data for Distribution Network Studies
by: Labura, Petar, et al.
Published: (2025)

Distributionally Robust Safety Verification of Neural Networks via Worst-Case CVaR
by: Kishida, Masako
Published: (2025)

Distributional Reinforcement Learning-based Energy Arbitrage Strategies in Imbalance Settlement Mechanism
by: Madahi, Seyed Soroush Karimi, et al.
Published: (2023)

Optimizing Return Distributions with Distributional Dynamic Programming
by: Pires, Bernardo Ávila, et al.
Published: (2025)

ON-Traffic: An Operator Learning Framework for Online Traffic Flow Estimation and Uncertainty Quantification from Lagrangian Sensors
by: Rap, Jake, et al.
Published: (2025)

Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System
by: Zhang, Ruining, et al.
Published: (2023)

Asynchronous Distributed Reinforcement Learning for LQR Control via Zeroth-Order Block Coordinate Descent
by: Jing, Gangshan, et al.
Published: (2021)

Coherent Load Profile Synthesis with Conditional Diffusion for LV Distribution Network Scenario Generation
by: Brash, Alistair, et al.
Published: (2025)

Learning Causal Structure Distributions for Robust Planning
by: Murillo-Gonzalez, Alejandro, et al.
Published: (2025)

Learning Geometrically-Informed Lyapunov Functions with Deep Diffeomorphic RBF Networks
by: Tesfazgi, Samuel, et al.
Published: (2025)

Verification-Aided Learning of Neural Network Barrier Functions with Termination Guarantees
by: Chen, Shaoru, et al.
Published: (2024)

Optimization-based Learning for Dynamic Load Planning in Trucking Service Networks
by: Ojha, Ritesh, et al.
Published: (2023)

Understanding the differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks
by: Sieber, Jerome, et al.
Published: (2024)

A Comparison of Baseline Models and a Transformer Network for SOC Prediction in Lithium-Ion Batteries
by: Aboueidah, Hadeel, et al.
Published: (2024)

Neural Port-Hamiltonian Differential Algebraic Equations for Compositional Learning of Electrical Networks
by: Neary, Cyrus, et al.
Published: (2024)

Effective Analog ICs Floorplanning with Relational Graph Neural Networks and Reinforcement Learning
by: Basso, Davide, et al.
Published: (2024)

Decentralized Coordination of Distributed Energy Resources through Local Energy Markets and Deep Reinforcement Learning
by: May, Daniel, et al.
Published: (2024)

Novelty Detection in Reinforcement Learning with World Models
by: Zollicoffer, Geigh, et al.
Published: (2023)

Reinforcement Learning with Partial Parametric Model Knowledge
by: Wang, Shuyuan, et al.
Published: (2023)

PID-controlled Langevin Dynamics for Faster Sampling of Generative Models
by: Chen, Hongyi, et al.
Published: (2025)