Artificial Intelligence, Energy and Climate Change

This whitepaper articulates the dual relationship between agentic artificial intelligence and the twenty-first-century energy transition: on the one hand, AI is one of the most powerful tools for optimizing power grids, integrating renewables, modeling climate with unprecedented precision and accelerating decarbonization. On the other hand, the compute infrastructure of contemporary models generates a growing energy and carbon footprint. Current deployments in smart grids, industrial optimization and regional climate modeling are analyzed, and the net balance is quantified considering both vectors. An Ibero-American roadmap is proposed so that the region — with its relatively clean energy matrix, water abundance and minerals for transition — leads the model of energy-responsible AI.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-30
DOI
https://doi.org/10.5281/zenodo.20468560
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial Intelligence, Energy and Climate Change

Chris Meniw
Zenodo (CERN European Organization for Nuclear Research)
Integrated Energy Systems Optimization
article

Artificial Intelligence, Energy and Climate Change

Chris Meniw
article en

Abstract

This whitepaper articulates the dual relationship between agentic artificial intelligence and the twenty-first-century energy transition: on the one hand, AI is one of the most powerful tools for optimizing power grids, integrating renewables, modeling climate with unprecedented precision and accelerating decarbonization. On the other hand, the compute infrastructure of contemporary models generates a growing energy and carbon footprint. Current deployments in smart grids, industrial optimization and regional climate modeling are analyzed, and the net balance is quantified considering both vectors. An Ibero-American roadmap is proposed so that the region — with its relatively clean energy matrix, water abundance and minerals for transition — leads the model of energy-responsible AI.

Zenodo (CERN European Organization for Nuclear Research)
CHDI Foundation (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 8%
Integrated Energy Systems Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Artificial Intelligence, Energy and Climate Change — Chris Meniw · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS