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A Physics-Aware Framework for Short-Term GPU Power Forecasting of AI Data Center

BACKGROUND
2 SIGNALSFIRST DETECTED 7 May 2026
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How the story developed
11 Jul
7 May
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Other feeds and industry voices
13 Aug
Cutting AI Datacenter Energy with Reinforcement Learning: Measured Power Control of LLM Training from One GPU to the Fleet

arXiv:2608.11226v1 Announce Type: new Abstract: Reinforcement-learning post-training dominates modern language-model development, yet its power behavior on GPU hardware has not

REPORT · WHAT · ArXiv CS.AIOPEN STORY
30 Mar
Pure and Physics-Guided Deep Learning Solutions for Spatio-Temporal Groundwater Level Prediction at Arbitrary Locations

arXiv:2603.25779v1 Announce Type: cross Abstract: Groundwater represents a key element of the water cycle, yet it exhibits intricate and context-dependent relationships that make

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28 Aug
The Accuracy-Efficiency Paradox Quantifying Net Energy Loss in on-Device Energy Forecasting

arXiv:2608.26134v1 Announce Type: new Abstract: Energy forecasting aims to maximize accuracy to ensure energy efficiency by reducing energy waste, an objective that applies

REPORT · WHAT · ArXiv CS.AIOPEN STORY
31 Mar
Differentiable Power-Flow Optimization

arXiv:2603.28203v1 Announce Type: new Abstract: With the rise of renewable energy sources and their high variability in generation, the management of power grids becomes

REPORT · HOW · ArXiv CS.AIOPEN STORY
28 Apr
FETS Benchmark: Foundation Models Outperform Dataset-specific Machine Learning in Energy Time Series Forecasting

arXiv:2604.22328v1 Announce Type: cross Abstract: Driven by the transition towards a climate-neutral energy system, accurate energy time series forecasting is critical for

REPORT · WHAT · ArXiv CS.AIOPEN STORY
2 May
A Grid-Aware Agent-Based Model for Analyzing Electric Vehicle Charging Systems

arXiv:2604.27849v1 Announce Type: new Abstract: This paper presents a configurable, grid-aware Agent-Based Model (ABM) for the systematic analysis of electric vehicle (EV)

REPORT · WHAT · ArXiv CS.AIOPEN STORY
26 Mar
A Multi-Task Targeted Learning Framework for Lithium-Ion Battery State-of-Health and Remaining Useful Life

arXiv:2603.22323v1 Announce Type: cross Abstract: Accurately predicting the state-of-health (SOH) and remaining useful life (RUL) of lithium-ion batteries is crucial for ensuring

REPORT · WHAT · ArXiv CS.AIOPEN STORY
22 May
PALS: Power-Aware LLM Serving for Mixture-of-Experts Models

arXiv:2605.21427v1 Announce Type: new Abstract: Large language model (LLM) inference has become a dominant workload in modern data centers, driving significant GPU utilization and

REPORT · WHAT · ArXiv CS.AIOPEN STORY
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