Cover Image

Regime-Adaptive Weighted Ensemble Learning for Computing-Driven Dynamic Load Forecasting in AI Data Centers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Ziying, Zhang, Ying, Wang, Lei, Lin, Yuzhang
Format:	Preprint
Published:	2026
Subjects:	Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deployment-Efficient Short-Term Load Forecasting in AI Data Centers via Sequence-to-Point Knowledge Distillation
by: Wang, Lei, et al.
Published: (2026)

Resilient Energy-Based Control for DC Data Centers under Grid and Load Disturbances
by: Wang, Lizhi, et al.
Published: (2026)

Data-Driven Adaptive Output Regulation of Unknown Linear Systems
by: Liu, Shangkun, et al.
Published: (2025)

Causal Feature Selection for Weather-Driven Residential Load Forecasting
by: Zhang, Elise, et al.
Published: (2025)

GPU-Native Multi-Area State Estimation via SIMD Abstraction and Boundary Condensation
by: Xu, Yifei, et al.
Published: (2026)

Voltage Regulation in Distribution Systems with Data Center Loads
by: Chen, Yize, et al.
Published: (2025)

Learning to Mitigate Post-Outage Load Surges: A Data-Driven Framework for Electrifying and Decarbonizing Grids
by: Shi, Wenlong, et al.
Published: (2025)

External Data-Enhanced Meta-Representation for Adaptive Probabilistic Load Forecasting
by: Li, Haoran, et al.
Published: (2025)

Dynamic Load Model for Data Centers with Pattern-Consistent Calibration
by: Lu, Siyu, et al.
Published: (2026)

Disturbance Rejection Control under Nested Signal Temporal Logic Specifications: A Recursive Design Approach
by: Peng, Yuzhang, et al.
Published: (2026)

Resilient Load Forecasting under Climate Change: Adaptive Conditional Neural Processes for Few-Shot Extreme Load Forecasting
by: Hu, Chenxi, et al.
Published: (2026)

Adaptive Federated Learning to Optimize Integrated Flows in Cyber-Physical Data Centers
by: Liu, Junhong, et al.
Published: (2025)

Model-Free Dynamic Mode Adaptive Control for Data-Driven Control Synthesis
by: Oveissi, Parham, et al.
Published: (2026)

Learning-Enabled Adaptive Power Capping Scheme for Cloud Data Centers
by: Sun, Yimeng, et al.
Published: (2025)

Safe Data-Driven Control and Dynamical Learning via Constrained Neural Architectures and Koopman Operators
by: Feng, Lin, et al.
Published: (2026)

Facilitating AI and System Operator Synergy: Active Learning-Enhanced Digital Twin Architecture for Day-Ahead Load Forecasting
by: Mylonas, Costas, et al.
Published: (2024)

Electricity Demand and Grid Impacts of AI Data Centers: Challenges and Prospects
by: Chen, Xin, et al.
Published: (2025)

Grid Capacity Expansion under Data Centers and Electrified Manufacturing Large Loads
by: Lee, Jiyong, et al.
Published: (2026)

Strategic Data Center Load Shifting: Implications for Market Efficiency and Transmission Value
by: Brenner, Aron, et al.
Published: (2025)

Data-Driven EV Charging Load Profile Estimation and Typical EV Daily Load Dataset Generation
by: Fang, Linhan, et al.
Published: (2025)

Distributed Safety Critical Control among Uncontrollable Agents Using Reconstructed Control Barrier Functions
by: Peng, Yuzhang, et al.
Published: (2026)

Reinforcement Learning Based Symbolic Regression for Load Modeling
by: Lin, Ding, et al.
Published: (2025)

DALNet: A Denoising Diffusion Probabilistic Model for High-Fidelity Day-Ahead Load Forecasting
by: Guo, Han, et al.
Published: (2025)

On the Solution Uniqueness of Data-Driven Modeling of Flexible Loads (with Supplementary Material)
by: Lu, Shuai, et al.
Published: (2024)

Advancing Standard Load Profiles with Data-Driven Techniques and Recent Datasets
by: Gabrielski, Jawana, et al.
Published: (2025)

On the Data-Driven Modeling of Price-Responsive Flexible Loads: Formulation and Algorithm
by: Chen, Mingji, et al.
Published: (2025)

Mixer-Informer-Based Two-Stage Transfer Learning for Long-Sequence Load Forecasting in Newly Constructed Electric Vehicle Charging Stations
by: Zhou, Zhenhua, et al.
Published: (2025)

Data-Driven Stabilization of Unknown Linear-Threshold Network Dynamics
by: Wang, Xuan, et al.
Published: (2025)

Real-Time, Crowdsourcing-Enhanced Forecasting of Building Functionality During Urban Floods
by: Xie, Lei, et al.
Published: (2026)

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

Exploring Lightweight Federated Learning for Distributed Load Forecasting
by: Duttagupta, Abhishek, et al.
Published: (2024)

Communication Network-Aware Missing Data Recovery for Enhanced Distribution Grid Visibility
by: Arka, Biswas Rudra Jyoti, et al.
Published: (2026)

Data-Driven Mean Field Equilibrium Computation in Large-Population LQG Games
by: Xu, Zhenhui, et al.
Published: (2025)

Auto-Multilift: Distributed Learning and Control for Cooperative Load Transportation With Quadrotors
by: Wang, Bingheng, et al.
Published: (2024)

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models
by: de Giuli, Laura Boca, et al.
Published: (2025)

System-Level Impacts of Flexible Data Center Load Scheduling on Cost, Emissions, and Transmission Congestion
by: Mazumder, Akibul Hasan, et al.
Published: (2026)

Comparative Analysis of Machine Learning Models for Short-Term Distribution System Load Forecasting
by: Raffoul, Elias, et al.
Published: (2024)

Speed-Weighted Adaptive Flocking for Sailing Swarms under Dynamic Environmental Forcing
by: Kedia, Pranav, et al.
Published: (2026)

Impact of Solar Integration on Grid Security: Unveiling Vulnerabilities in Load Redistribution Attacks
by: Verma, Praveen, et al.
Published: (2025)

A Comprehensive Incremental and Ensemble Learning Approach for Forecasting Individual Electric Vehicle Charging Parameters
by: Alikhani, Parnian, et al.
Published: (2025)