8 papers
Beyond the Grid: Cost, Carbon, and Capital Requirements of On-Site Power Technologies for AI Data Centers
Eliseo Curcio
Interconnection queues, not electricity prices, now govern where data centers can be built, and the standard levelized-cost comparison answers a question no developer faces: it ass…
Cutting AI Datacenter Energy with Reinforcement Learning: Measured Power Control of LLM Training from One GPU to the Fleet
Eliseo Curcio
Reinforcement-learning post-training dominates modern language-model development, yet its power behavior on GPU hardware has not been characterized, and datacenters manage GPU powe…
Retrieval over Reasoning: A Cost-Controlled Benchmark of Language Models for Energy-Retrofit Recommendation
Eliseo Curcio
Recommending the correct set of energy conservation measures (ECMs) for a building is a structured, multi-label prediction problem in which a task-specific supervised model has wea…
EnergyAgentBench: Benchmarking LLM Agents on Live Energy Infrastructure Data
Eliseo Curcio
Selecting the right electricity market region for a hyperscale AI datacenter requires reasoning across live electricity prices, grid carbon intensity, technology cost trajectories,…
Benchmarking Reasoning Reliability in Artificial Intelligence Models for Energy-System Analysis
Eliseo Curcio
Artificial intelligence and machine learning are increasingly used for forecasting, optimization, and policy design in the energy sector, yet no standardized framework exists to ev…
Introducing LCOAI: A Standardized Economic Metric for Evaluating AI Deployment Costs
Eliseo Curcio
As artificial intelligence (AI) becomes foundational to enterprise infrastructure, organizations face growing challenges in accurately assessing the full economic implications of A…