Earticle

초록

영어

Nowadays, energy management and its optimization using smart devices are getting more attention due to their significant applications. Moreover, the applications used in these devices play a key role in developing smart cities that is only the way to solve urban problems. The potential of renewable energy sources like solar and wind power has been integrated in the smart grids to overcome the lack of supply via conventional fossil fuels and their environmental disputes that reduce operational cost. This review paper describes the significance of renewable power data that directly assists all the functions in smart cities such as the evolution of microgrids, renewable resources, energy forecasting, and power storage technologies. Furthermore, solar and wind power plants’ data with weather information as an additional cue is collected from different companies in South Korea. We aim to assist the researchers to develop artificial intelligence (AI)-based algorithms for power forecasting and establish its efficient management between suppliers and consumers.

목차

Abstract
I. INTRODUCTION
II. RELATED WORK
A. DKASC, Alice Springs
B. Yulara Solar System
C. NT Solar Resource
III. DATASET DESCRIPTION
A. Solar Data
B. Wind Data
C. Weather Data
IV. CONCLUSION
REFERENCES

키워드

저자

• Sang ll Yoon [ Sejong University Seoul, Republic of Korea ]
• Noman Khan [ Sejong University Seoul, Republic of Korea ]
• Samee Ullah Khan [ Sejong University Seoul, Republic of Korea ]
• Fath U Min Ullah [ Sejong University Seoul, Republic of Korea ]
• Su Min Lee [ Sejong University Seoul, Republic of Korea ]
• Mi Young Lee [ Sejong University Seoul, Republic of Korea ]
• Sung Wook Baik [ Sejong University Seoul, Republic of Korea ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국차세대컴퓨팅학회 학술대회

• 간기

  반년간

• 수록기간

  2021~2025

• 십진분류

  KDC 566 DDC 004