상세정보
학술대회
Error Distribution-based Anomaly Score for Forecasting-based Anomaly Detection of PV Systems
- 발행일
- 202110
- 출처
- International Conference on Information and Communication Technology Convergence (ICTC) 2021, pp.1144-1146
- 협약과제
- 21ZK1100, 호남권 지역산업 기반 ICT 융합기술 고도화 지원사업, 이길행
- 초록
- For forecasting-based anomaly detection for PV systems, in this paper, we propose a way for calculating anomaly scores. The basic idea of our approach is to utilize the distribution of forecasting errors of normal data to derive relative anomaly score, which is limited to from 0 to 100. To further improve the anomaly score, we apply our basic idea to each month separately because the distribution of forecasting errors changes over time. Through experiments using the real data, we examine some aspects of our approach preliminarily.
- KSP 제안 키워드
- Forecasting errors, Over time, PV system, Real data, anomaly detection, anomaly score, error distribution