Saved in:
| Main Authors: | Chen, Xiaolin, Huang, Qiuhua, Zhou, Yuqi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.11980 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Predictive Modeling of Power Outages during Extreme Events: Integrating Weather and Socio-Economic Factors
by: Fatehi, Nina, et al.
Published: (2025)
by: Fatehi, Nina, et al.
Published: (2025)
Quantifying and Predicting Residential Building Flexibility Using Machine Learning Methods
by: Salter, Patrick, et al.
Published: (2024)
by: Salter, Patrick, et al.
Published: (2024)
Distribution Grid Line Outage Identification with Unknown Pattern and Performance Guarantee
by: Xiao, Chenhan, et al.
Published: (2023)
by: Xiao, Chenhan, et al.
Published: (2023)
Machine Learning for Scalable and Optimal Load Shedding Under Power System Contingency
by: Zhou, Yuqi, et al.
Published: (2024)
by: Zhou, Yuqi, et al.
Published: (2024)
Lossy Cooperative UAV Relaying Networks: Outage Probability Analysis and Location Optimization
by: Lian, Ya, et al.
Published: (2024)
by: Lian, Ya, et al.
Published: (2024)
Deep Learning-Based Weather-Related Power Outage Prediction with Socio-Economic and Power Infrastructure Data
by: Wang, Xuesong, et al.
Published: (2024)
by: Wang, Xuesong, et al.
Published: (2024)
Robust Defense Against Extreme Grid Events Using Dual-Policy Reinforcement Learning Agents
by: Peter, Benjamin M., et al.
Published: (2024)
by: Peter, Benjamin M., et al.
Published: (2024)
PACSBO: Probably approximately correct safe Bayesian optimization
by: Tokmak, Abdullah, et al.
Published: (2024)
by: Tokmak, Abdullah, et al.
Published: (2024)
Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning
by: Mukherjee, Sayak, et al.
Published: (2022)
by: Mukherjee, Sayak, et al.
Published: (2022)
Learning Automata of PLCs in Production Lines Using LSTM
by: AlTalafha, Iyas, et al.
Published: (2025)
by: AlTalafha, Iyas, et al.
Published: (2025)
Predicting Fault-Ride-Through Probability of Inverter-Dominated Power Grids using Machine Learning
by: Nauck, Christian, et al.
Published: (2024)
by: Nauck, Christian, et al.
Published: (2024)
Structured Cooperative Multi-Agent Reinforcement Learning: a Bayesian Network Perspective
by: Syed, Shahbaz P Qadri, et al.
Published: (2025)
by: Syed, Shahbaz P Qadri, et al.
Published: (2025)
A Lightweight Transmission Parameter Selection Scheme Using Reinforcement Learning for LoRaWAN
by: Li, Aohan, et al.
Published: (2022)
by: Li, Aohan, et al.
Published: (2022)
Dynamic Line Rating using Hyper-local Weather Predictions: A Machine Learning Approach
by: Manninen, Henri, et al.
Published: (2024)
by: Manninen, Henri, et al.
Published: (2024)
Dynamic Origin-Destination Matrix Prediction with Line Graph Neural Networks and Kalman Filter
by: Xiong, Xi, et al.
Published: (2019)
by: Xiong, Xi, et al.
Published: (2019)
Online Learning for Dynamic Vickrey-Clarke-Groves Mechanism in Unknown Environments
by: Leon, Vincent, et al.
Published: (2025)
by: Leon, Vincent, et al.
Published: (2025)
Cellular Traffic Prediction Using Online Prediction Algorithms
by: Mehri, Hossein, et al.
Published: (2024)
by: Mehri, Hossein, et al.
Published: (2024)
Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging
by: Hirt, Sebastian, et al.
Published: (2024)
by: Hirt, Sebastian, et al.
Published: (2024)
A Generalizable Physics-informed Learning Framework for Risk Probability Estimation
by: Wang, Zhuoyuan, et al.
Published: (2023)
by: Wang, Zhuoyuan, et al.
Published: (2023)
Symptom-Driven Personalized Proton Pump Inhibitors Therapy Using Bayesian Neural Networks and Model Predictive Control
by: Li, Yutong, et al.
Published: (2025)
by: Li, Yutong, et al.
Published: (2025)
Sparse Kalman Identification for Partially Observable Systems via Adaptive Bayesian Learning
by: Mei, Jilan, et al.
Published: (2025)
by: Mei, Jilan, et al.
Published: (2025)
Resilient Control of Networked Microgrids using Vertical Federated Reinforcement Learning: Designs and Real-Time Test-Bed Validations
by: Mukherjee, Sayak, et al.
Published: (2023)
by: Mukherjee, Sayak, et al.
Published: (2023)
AoI-Aware Task Offloading and Transmission Optimization for Industrial IoT Networks: A Branching Deep Reinforcement Learning Approach
by: Chen, Yuang, et al.
Published: (2025)
by: Chen, Yuang, et al.
Published: (2025)
Process Knowledge Driven Change Point Detection for Automated Calibration of Discrete Event Simulation Models Using Machine Learning
by: Yildirim, Suleyman, et al.
Published: (2020)
by: Yildirim, Suleyman, et al.
Published: (2020)
World Model for Battery Degradation Prediction Under Non-Stationary Aging
by: Lim, Kai Chin, et al.
Published: (2026)
by: Lim, Kai Chin, et al.
Published: (2026)
Predictive Maintenance Optimization for Smart Vending Machines Using IoT and Machine Learning
by: Hasan, Md. Nisharul
Published: (2025)
by: Hasan, Md. Nisharul
Published: (2025)
Structure-Enhanced Deep Reinforcement Learning for Optimal Transmission Scheduling
by: Chen, Jiazheng, et al.
Published: (2022)
by: Chen, Jiazheng, et al.
Published: (2022)
Learning Performance-Oriented Control Barrier Functions Under Complex Safety Constraints and Limited Actuation
by: Manda, Lakshmideepakreddy, et al.
Published: (2024)
by: Manda, Lakshmideepakreddy, et al.
Published: (2024)
Physics-informed RL for Maximal Safety Probability Estimation
by: Hoshino, Hikaru, et al.
Published: (2024)
by: Hoshino, Hikaru, et al.
Published: (2024)
Transmission Interface Power Flow Adjustment: A Deep Reinforcement Learning Approach based on Multi-task Attribution Map
by: Liu, Shunyu, et al.
Published: (2024)
by: Liu, Shunyu, et al.
Published: (2024)
Learning to Route Electric Trucks Under Operational Uncertainty
by: Orfanoudakis, Stavros, et al.
Published: (2026)
by: Orfanoudakis, Stavros, et al.
Published: (2026)
High-Probability Bounds for SGD under the Polyak-Lojasiewicz Condition with Markovian Noise
by: Kar, Avik, et al.
Published: (2026)
by: Kar, Avik, et al.
Published: (2026)
Parameter Identification for Electrochemical Models of Lithium-Ion Batteries Using Bayesian Optimization
by: Pi, Jianzong, et al.
Published: (2024)
by: Pi, Jianzong, et al.
Published: (2024)
Automated and Risk-Aware Engine Control Calibration Using Constrained Bayesian Optimization
by: Vlaswinkel, Maarten, et al.
Published: (2025)
by: Vlaswinkel, Maarten, et al.
Published: (2025)
Sequential QCQP for Bilevel Optimization with Line Search
by: Sharifi, Sina, et al.
Published: (2025)
by: Sharifi, Sina, et al.
Published: (2025)
HuB: Learning Extreme Humanoid Balance
by: Zhang, Tong, et al.
Published: (2025)
by: Zhang, Tong, et al.
Published: (2025)
Stability-informed Bayesian Optimization for MPC Cost Function Learning
by: Hirt, Sebastian, et al.
Published: (2024)
by: Hirt, Sebastian, et al.
Published: (2024)
Optimal Bayesian Affine Estimator and Active Learning for the Wiener Model
by: Vakili, Sasan, et al.
Published: (2025)
by: Vakili, Sasan, et al.
Published: (2025)
Adaptive Traffic Element-Based Streetlight Control Using Neighbor Discovery Algorithm Based on IoT Events
by: Tan, Yupeng, et al.
Published: (2024)
by: Tan, Yupeng, et al.
Published: (2024)
Online Intention Prediction via Control-Informed Learning
by: Zhou, Tianyu, et al.
Published: (2026)
by: Zhou, Tianyu, et al.
Published: (2026)
Similar Items
-
Predictive Modeling of Power Outages during Extreme Events: Integrating Weather and Socio-Economic Factors
by: Fatehi, Nina, et al.
Published: (2025) -
Quantifying and Predicting Residential Building Flexibility Using Machine Learning Methods
by: Salter, Patrick, et al.
Published: (2024) -
Distribution Grid Line Outage Identification with Unknown Pattern and Performance Guarantee
by: Xiao, Chenhan, et al.
Published: (2023) -
Machine Learning for Scalable and Optimal Load Shedding Under Power System Contingency
by: Zhou, Yuqi, et al.
Published: (2024) -
Lossy Cooperative UAV Relaying Networks: Outage Probability Analysis and Location Optimization
by: Lian, Ya, et al.
Published: (2024)