Analysis of the Impact of Artificial Intelligence on Electricity Consumption

The in-depth development and widespread application of artificial intelligence technology will have significant impact on electricity demand. However, there are few comprehensive analyses. This article will analyze the direct and indirect impact respectively. For direct impact, artificial intelligence requires various data centers to provide huge computing and storage capabilities, which will increase the electricity demand of data centers; for indirect impact, artificial intelligence will also optimize the time and space distribution of electricity demand and deepen energy conservation and power saving in the whole society. Research shows that the development of artificial intelligence will increase the electricity consumption of data centers, and it is necessary to plan ahead for the infrastructure related to the electricity consumption of artificial intelligence; artificial intelligence plays an important role in promoting the development of demand response, and a largescale joint dispatch mechanism of electricity and computing power for the power market should be explored; data centers have a large space for energy conservation and carbon reduction, and a sound electricity price mechanism that comprehensively considers green electricity consumption and energy efficiency should be established to promote data centers to widely participate in green electricity transactions and actively reduce their own PUE.

Authors

Institutions

Publication Details

Published
2024-09-13
DOI
https://doi.org/10.1109/aiotc63215.2024.10748289
Citations
6
Primary Topic
Energy Load and Power Forecasting
Type
article
Field-Weighted Citation Impact
1.25
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of the Impact of Artificial Intelligence on Electricity Consumption

Yuelong Jia
6 citations
Energy Load and Power Forecasting
1.25
article

Analysis of the Impact of Artificial Intelligence on Electricity Consumption

Yuelong Jia
article en
6 citations

Abstract

The in-depth development and widespread application of artificial intelligence technology will have significant impact on electricity demand. However, there are few comprehensive analyses. This article will analyze the direct and indirect impact respectively. For direct impact, artificial intelligence requires various data centers to provide huge computing and storage capabilities, which will increase the electricity demand of data centers; for indirect impact, artificial intelligence will also optimize the time and space distribution of electricity demand and deepen energy conservation and power saving in the whole society. Research shows that the development of artificial intelligence will increase the electricity consumption of data centers, and it is necessary to plan ahead for the infrastructure related to the electricity consumption of artificial intelligence; artificial intelligence plays an important role in promoting the development of demand response, and a largescale joint dispatch mechanism of electricity and computing power for the power market should be explored; data centers have a large space for energy conservation and carbon reduction, and a sound electricity price mechanism that comprehensively considers green electricity consumption and energy efficiency should be established to promote data centers to widely participate in green electricity transactions and actively reduce their own PUE.

Energy Research Institute (CN)
Affordable and clean energy
Openalex Percentile: Top 20%
Energy Load and Power Forecasting
1.25
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.

Analysis of the Impact of Artificial Intelligence on Electricity Consumption — Yuelong Jia · (2024) | TGRS Research Map | TGRS