Analysis of distributed power generation forecasting model for power distribution planning

  • Cho, J.
  • Kim, H.
  • Ryu, H.
  • Son, Y.
  • Choi, S.
Citations

SCOPUS

3

초록

This paper researches a model that predicts a growth in distributed power, taking into account the recent increase in renewable energy interconnected in the distribution system. This paper describes the current state of distributed power and discusses the process of selecting input and output variables for the forecasting model. The, this paper defines various models that can be used for distributed power forecasting and analyze strengths and examples. Finally, this paper compares the utilization of input variables and forecasting models that can be used as mid to long-term distributed power forecasting. Copyright © The Korean Institute of Electrical Engineers.

키워드

Deep learning modelDistribution planningMid to long-term forecastingRenewable energy resources
제목
Analysis of distributed power generation forecasting model for power distribution planning
저자
Cho, J.Kim, H.Ryu, H.Son, Y.Choi, S.
DOI
10.5370/KIEE.2021.70.9.1248
발행일
2021
유형
Article
저널명
전기학회논문지
70
9
페이지
1248 ~ 1262