Application of Large Language Models to Electricity Markets

By discussing the application of large language models (LLMs) in the power market, their potential and challenges in assisting quotation decision-making, risk monitoring, intelligent customer service, transaction management, and retail package generation are analyzed. Based on the basic principles and development process of large models, combined with current technical requirements, the development direction of large model applications in the power market in the future is proposed, and multiple power market application functions based on large models are designed to improve the decision-making efficiency and risk management capabilities of the power market.

Authors

Institutions

Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/ei264398.2024.10991739
Primary Topic
Energy Load and Power Forecasting
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application of Large Language Models to Electricity Markets

Yuetong Chen, Yanli Yao, Dunnan Liu, Zhongtao Chen et al.
Energy Load and Power Forecasting
article

Application of Large Language Models to Electricity Markets

Yuetong Chen, Yanli Yao, Dunnan Liu, Zhongtao Chen, Hang Fan, Dong Wei, Liuqing Yang, Xinyi Li
article en

Abstract

By discussing the application of large language models (LLMs) in the power market, their potential and challenges in assisting quotation decision-making, risk monitoring, intelligent customer service, transaction management, and retail package generation are analyzed. Based on the basic principles and development process of large models, combined with current technical requirements, the development direction of large model applications in the power market in the future is proposed, and multiple power market application functions based on large models are designed to improve the decision-making efficiency and risk management capabilities of the power market.

North China Electric Power University (CN), State Grid Corporation of China (China) (CN)
North China Electric Power University
Openalex Percentile: Top 72%
Energy Load and Power Forecasting
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.