ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2409.11416
  4. Cited By
The Unseen AI Disruptions for Power Grids: LLM-Induced Transients

The Unseen AI Disruptions for Power Grids: LLM-Induced Transients

9 September 2024
Yuzhuo Li
Mariam Mughees
Yize Chen
Yunwei Ryan Li
ArXiv (abs)PDFHTML

Papers citing "The Unseen AI Disruptions for Power Grids: LLM-Induced Transients"

11 / 11 papers shown
Title
Human services organizations and the responsible integration of AI: Considering ethics and contextualizing risk(s)
Human services organizations and the responsible integration of AI: Considering ethics and contextualizing risk(s)
Brian E. Perron
Lauri Goldkind
Zia Qi
Bryan G. Victor
SILM
71
0
0
20 Jan 2025
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Guanqiao Qu
Qiyuan Chen
Wei Wei
Zheng Lin
Xianhao Chen
Kaibin Huang
135
56
0
09 Jul 2024
From Words to Watts: Benchmarking the Energy Costs of Large Language
  Model Inference
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference
S. Samsi
Dan Zhao
Joseph McDonald
Baolin Li
Adam Michaleas
Michael Jones
William Bergeron
J. Kepner
Devesh Tiwari
V. Gadepally
70
150
0
04 Oct 2023
GPT-4 Technical Report
GPT-4 Technical Report
OpenAI OpenAI
OpenAI Josh Achiam
Steven Adler
Sandhini Agarwal
Lama Ahmad
...
Shengjia Zhao
Tianhao Zheng
Juntang Zhuang
William Zhuk
Barret Zoph
LLMAGMLLM
1.5K
14,761
0
15 Mar 2023
Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language
  Model
Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model
A. Luccioni
S. Viguier
Anne-Laure Ligozat
99
288
0
03 Nov 2022
The MIT Supercloud Dataset
The MIT Supercloud Dataset
S. Samsi
Matthew L. Weiss
David Bestor
Baolin Li
Michael Jones
...
Allan Vanterpool
Lindsey McEvoy
Anson Cheng
Devesh Tiwari
V. Gadepally
35
19
0
04 Aug 2021
Power Modeling for Effective Datacenter Planning and Compute Management
Power Modeling for Effective Datacenter Planning and Compute Management
A. Radovanovic
Bokan Chen
Saurav Talukdar
Binz Roy
A. Duarte
Mahya Shahbazi
36
23
0
22 Mar 2021
Carbontracker: Tracking and Predicting the Carbon Footprint of Training
  Deep Learning Models
Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models
Lasse F. Wolff Anthony
Benjamin Kanding
Raghavendra Selvan
HAI
66
315
0
06 Jul 2020
Towards the Systematic Reporting of the Energy and Carbon Footprints of
  Machine Learning
Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning
Peter Henderson
Jie Hu
Joshua Romoff
Emma Brunskill
Dan Jurafsky
Joelle Pineau
92
457
0
31 Jan 2020
Quantifying the Carbon Emissions of Machine Learning
Quantifying the Carbon Emissions of Machine Learning
Alexandre Lacoste
A. Luccioni
Victor Schmidt
Thomas Dandres
112
712
0
21 Oct 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,229
0
11 Oct 2018
1