그래프 신경망 기반 개폐기별 단기부하예측에 관한 연구

다국어 초록 (Multilingual Abstract)

In this paper, the short-term load forecasting for each switch is performed by graph neural network-based ST-GCN(Spatio Temporal Graph Convolution Networks) model. The proposed model can predict the hourly load by using the connection information of the automatic switch belonging to the D/L(Distribution Line). To this end, the connection information between the switches belonging to the D/L is simplified, and the load information per hour is prep-processed. Next, our model is trained by constructing a training set with the features of the four D/L, which are the experimental subjects. Finally, to verify the predictive models performance, we compared the performance of ARIMA(Auto-Regressive Integrated Moving Average) and LSTM(Long-Term Short-Term Memory). And its limitations are discussed.

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. DAS 데이터 전처리
• 3. D/L 별 개폐기 부하예측모델
• 4. 실험 및 분석
• 5. 결론
• References

참고문헌 (Reference)

1 임성일, "일부하 곡선을 이용한 배전계통 구간부하 관리방법" 한국조명.전기설비학회 26 (26): 47-52, 2012

2 Scarselli, F., "The Graph Neural Network Model" 20 (20): 61-80, 2008

3 Yu, B., "Spatio-temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting" 3634-3640, 2018

4 Alberg, D., "Short-term Load Forecasting in Smart Meters with Sliding Window-based ARIMA Algorithms" 5 (5): 241-249, 2018

5 Dong, X., "Short-term Load Forecasting in Smart Grid : A Combined CNN and K-means Clustering Approach" 119-125, 2017

6 Kim, B. S., "Short-Term Load Froecasting of Transformer using Artificial Neural Networks" 19 (19): 20-25, 2005

7 Jain, A., "Short Term Load Forecasting by Clustering Technique Based on Daily Average and Peak Loads" 1-7, 2009

8 Kim, M. S., "Research on Conceptual Design of the Next-generation Distribution Management System" 2016

9 Sak, H., "Long Short-term Memory Recurrent Neural Network Architectures for Large Scale Acoustic Modeling" 2014

10 Hochreiter, S., "Long Short-term Memory" 9 (9): 1735-1780, 1997

11 Cho, K., "Learning Phrase Representations Using RNN Encoder-decoder for Statistical Machine Translation"

12 Xu, Y., "Large-scale Weakly Supervised Audio Classification Using Gated Convolutional Neural Network" 121-125, 2018

13 Liu, Z., "Introduction to Graph Neural Networks" 14 (14): 1-127, 2020

14 김동욱 ; 박영배 ; 추철민 ; 조성호 ; 서인용, "ICT융복합 기술을 이용한 차세대 배전계통 운영 시스템 설계 및 검증" (사)디지털산업정보학회 15 (15): 19-28, 2019

15 이해성 ; 이병성 ; 안현, "EV 충전소의 일별 최대전력부하 예측을 위한 LSTM 신경망 모델" 한국인터넷정보학회 21 (21): 119-127, 2020