Copertina

Green Energy Management for Sustainable Data Centers Using Deep Reinforcement Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Bahi, Abderaouf, Ourici, Amel, Dincer, Hasan, Yuksel, Serhat, Djebbar, Akila
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence Systems and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

NaviGNN: Multi-Agent Reinforcement Learning and Graph Neural Network for Sustainable Mobility in Futuristic Smart Cities
di: Bahi, Abderaouf, et al.
Pubblicazione: (2025)

FreeGNN: Continual Source-Free Graph Neural Network Adaptation for Renewable Energy Forecasting
di: Bahi, Abderaouf, et al.
Pubblicazione: (2026)

MOSAIC: Multi-Domain Orthogonal Session Adaptive Intent Capture for Prescient Recommendations
di: Bahi, Abderaouf, et al.
Pubblicazione: (2026)

From Electrochemical Energy Storage to Next-Generation Intelligent Battery Technologies for Electric Vehicles: A Survey
di: Bahi, Abderaouf, et al.
Pubblicazione: (2025)

Data Center Cooling System Optimization Using Offline Reinforcement Learning
di: Zhan, Xianyuan, et al.
Pubblicazione: (2025)

Sustainability of Data Center Digital Twins with Reinforcement Learning
di: Sarkar, Soumyendu, et al.
Pubblicazione: (2024)

Meta-Reinforcement Learning for Building Energy Management System
di: Zhang, Huiliang, et al.
Pubblicazione: (2022)

SustainDC: Benchmarking for Sustainable Data Center Control
di: Naug, Avisek, et al.
Pubblicazione: (2024)

Reinforcement Learning for Sustainable Energy: A Survey
di: Ponse, Koen, et al.
Pubblicazione: (2024)

GNN-ASE: Graph-Based Anomaly Detection and Severity Estimation in Three-Phase Induction Machines
di: Bentrad, Moutaz Bellah, et al.
Pubblicazione: (2025)

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

Carbon Footprint Reduction for Sustainable Data Centers in Real-Time
di: Sarkar, Soumyendu, et al.
Pubblicazione: (2024)

Representation Learning Enhanced Deep Reinforcement Learning for Optimal Operation of Hydrogen-based Multi-Energy Systems
di: Pu, Zhenyu, et al.
Pubblicazione: (2026)

Hierarchical Deep Reinforcement Learning Framework for Multi-Year Asset Management Under Budget Constraints
di: Fard, Amir, et al.
Pubblicazione: (2025)

Enhancing Battery Storage Energy Arbitrage with Deep Reinforcement Learning and Time-Series Forecasting
di: Sage, Manuel, et al.
Pubblicazione: (2024)

A Configurable Pythonic Data Center Model for Sustainable Cooling and ML Integration
di: Naug, Avisek, et al.
Pubblicazione: (2024)

Energy Management for Renewable-Colocated Artificial Intelligence Data Centers
di: Li, Siying, et al.
Pubblicazione: (2025)

LC-Opt: Benchmarking Reinforcement Learning and Agentic AI for End-to-End Liquid Cooling Optimization in Data Centers
di: Naug, Avisek, et al.
Pubblicazione: (2025)

The Economic Dispatch of Power-to-Gas Systems with Deep Reinforcement Learning:Tackling the Challenge of Delayed Rewards with Long-Term Energy Storage
di: Sage, Manuel, et al.
Pubblicazione: (2025)

ADLight: A Universal Approach of Traffic Signal Control with Augmented Data Using Reinforcement Learning
di: Wang, Maonan, et al.
Pubblicazione: (2022)

PC-DeepNet: A GNSS Positioning Error Minimization Framework Using Permutation-Invariant Deep Neural Network
di: Kabir, M. Humayun, et al.
Pubblicazione: (2025)

Trustworthy and Explainable Deep Reinforcement Learning for Safe and Energy-Efficient Process Control: A Use Case in Industrial Compressed Air Systems
di: Bezold, Vincent, et al.
Pubblicazione: (2025)

Safe Deep Model-Based Reinforcement Learning with Lyapunov Functions
di: Zhang, Harry
Pubblicazione: (2024)

DeepSafeMPC: Deep Learning-Based Model Predictive Control for Safe Multi-Agent Reinforcement Learning
di: Wang, Xuefeng, et al.
Pubblicazione: (2024)

Meta Hierarchical Reinforcement Learning for Scalable Resource Management in O-RAN
di: Lotfi, Fatemeh, et al.
Pubblicazione: (2025)

Function Approximation for Reinforcement Learning Controller for Energy from Spread Waves
di: Sarkar, Soumyendu, et al.
Pubblicazione: (2024)

Deep Learning Based Simulators for the Phosphorus Removal Process Control in Wastewater Treatment via Deep Reinforcement Learning Algorithms
di: Mohammadi, Esmaeel, et al.
Pubblicazione: (2024)

Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier Certificates
di: Mandal, Udayan, et al.
Pubblicazione: (2024)

Control Policy Correction Framework for Reinforcement Learning-based Energy Arbitrage Strategies
di: Madahi, Seyed Soroush Karimi, et al.
Pubblicazione: (2024)

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

Frugal Actor-Critic: Sample Efficient Off-Policy Deep Reinforcement Learning Using Unique Experiences
di: Singh, Nikhil Kumar, et al.
Pubblicazione: (2024)

Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Overview and Perspectives
di: Lin, Runze, et al.
Pubblicazione: (2024)

Optimistic World Models: Efficient Exploration in Model-Based Deep Reinforcement Learning
di: Mete, Akshay, et al.
Pubblicazione: (2026)

A Graph-Enhanced Deep-Reinforcement Learning Framework for the Aircraft Landing Problem
di: Maru, Vatsal
Pubblicazione: (2025)

InfraLib: Enabling Reinforcement Learning and Decision-Making for Large-Scale Infrastructure Management
di: Thangeda, Pranay, et al.
Pubblicazione: (2024)

Infinite-Horizon Reach-Avoid Zero-Sum Games via Deep Reinforcement Learning
di: Li, Jingqi, et al.
Pubblicazione: (2022)

Go-Explore for Residential Energy Management
di: Lu, Junlin, et al.
Pubblicazione: (2024)

Fully Dynamic Rebalancing in Dockless Bike-Sharing Systems via Deep Reinforcement Learning
di: Scarpel, Edoardo, et al.
Pubblicazione: (2026)

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design
di: Shin, Hyo-Sang, et al.
Pubblicazione: (2019)

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