메뉴 건너뛰기
Library Notice
Institutional Access
If you certify, you can access the articles for free.
Check out your institutions.
ex)Hankuk University, Nuri Motors
Log in Register Help KOR
Subject
Humanities
General Humanities History Philosophy Religious Studies Linguistics and Literature Other Humanities
Social science
General Social Science Business Management Tourism Education Military Science Library and Information Science Law Sociology Journalism and Media Studies Psychological Science Political Science and Diplomacy Geography Public Administration Economics International Trade Anthropology Other Social Science
Natural science
General Natural Science Physics Biology Life Sciences Mathematics/Statistics Astronomy Earth Science Chemistry Other Natural Science
Engineering
General Engineering Architectural Engineering Mechanical Engineering Industrial Engineering Material/Energy Engineering Electrical and Electronic Engineering Marine and Ocean Engineering Chemical Engineering Computer Science Other Engineering
Medical science
General Medical Science Nursing Science Veterinary Pharmacy Traditional Korean Medicine Basic Medicine Clinical Medicine Other Medicine
Agriculture and Fishery
General Agriculture and Fishery Agriculture Fishery Science Food Science Forestry Animal Husbandry Marine Transportation Studies Other Agriculture and Fishery
Art and Kinesiology
General Arts Design Fine Arts Cosmetology Photography Music Fashion Kinesiology Performing Media Arts Other Arts and Kinesiology
Interdisciplinary Studies
Interdisciplinary Research Science and Technology Studies Brain and Cognitive Science Technology Policy Other Interdisciplinary Studies

KOR

Short-Term Power Consuming Prediction by AI Deep Learning
Recommendations
Search
Questions

AI 딥러닝에 의한 단주기 전력수요 예측

논문 기본 정보

Type
Proceeding
Author
Dae-Won Chung (호남대학교) Jae-Ha Ko (호남대학교) Keun-Young Yoon (호남대학교)
Journal
The Korean Institute of Electrical Engineers 대한전기학회 학술대회 논문집 2021년도 대한전기학회 전기기기 및 에너지변환시스템부문회 정기총회 및 춘계학술대회 논문집
Published
2021.5
Pages
113 - 115 (3page)

Usage

cover
📌
Topic
📖
Background
🔬
Method
🏆
Result
Short-Term Power Consuming Prediction by AI Deep Learning
Ask AI
Recommendations
Search
Questions

Abstract· Keywords

Report Errors
최근 인공지능 딥러닝(AI Deep Learning, DL) 기법은 공학 분야의 모델예측과 진단방법으로, 그 정확성이 검증되고 인증되면서 다양한 분야에서 그 우수한 성능을 발휘하고 널리 활용되고 있다. 본 논문에서는 이런 점에 착안하여 전력수요의 최적 관리를 위해 단기전력 수요예측 모델에 적용하는 방안을 제안한다. 단기간 전력수요 예측은 전력수요관리 측면에서 중요하나 그 정확성이 낮아서, 보다 우수한 성능 기법이^_@span style=color:#999999 ^_# ... ^_@/span^_#^_@a href=javascript:; onclick=onClickReadNode('NODE10556904');fn_statistics('Z354','null','null'); style='color:#999999;font-size:14px;text-decoration:underline;' ^_#View All^_@/a^_#

Contents

No content found

References (0)

Add References
If the reference is being serviced by DBpia, please register through [Add Reference]

Recommendations

It is an article recommended by DBpia according to the article similarity. Check out the related articles!

Related Authors

Frequently Viewed Together

Performance comparison study of deep learning model for power demand prediction
Hwan-su Lee ,  Song-Do Ki ,  Dae-Kyong Kim 대한전기학회 학술대회 논문집 2022 .07
A Study on Trade-off Evaluation by Simplifying Propagation Process of Vehicle Trajectory Prediction Model Based on Deep Learning
Geesung Oh ,  Heejung Kim ,  Sejoon Lim The Journal of Korean Institute of Communications and Information Sciences 2021 .05
A Design of the Vehicle Crisis Detection System(VCDS) based on vehicle internal and external data and deep learning
Su-Rak Son ,  Yi-Na Jeong Journal of Korea Institute of Information, Electronics, and Communication Technology 2021 .04
Deep Learning-Based Vehicle Anomaly Detection by Combining Vehicle Sensor Data
Songhee Kim ,  Sunhye Kim ,  Byungun Yoon Journal of the Korea Academia-Industrial cooperation Society 2021 .03
Performance Evaluation of Short-term power demand forecast by AI Deep Learning
Chan Lee ,  Joo-Hee Lee ,  Dae-Won Chung 대한전기학회 학술대회 논문집 2020 .07

Recently viewed articles

한국인의 다문화와 이주민에 대한 인식 변화
윤인진The Korean Sociological Association2015.12

Comments(0)

0

Write first comments.

UCI(KEPA) : I410-ECN-0101-2021-560-001688801