Virtual Utility Plant를 위한 인공지능 기법 기반 데이터 보간 데이터 전처리 시스템 개발

• 영문명: Development of AI-based data interpolation data preprocessing system for Virtual Utility Plant
• 발행기관: 한국환경에너지공학회
• 저자명: 조우진 임병현 김동주 구재회
• 간행물 정보: 『환경에너지공학』제20권 제1호, 57~62쪽, 전체 6쪽
• 주제분류: 공학 > 환경공학
• 파일형태: PDF
• 발행일자: 2025.04.30

국문 초록

Today, the energy crisis has begun to materialize due to various factors, including wars and global climate issues. To address this, we introduced the concept of a Virtual Energy Utility Plant to reduce energy consumption in industrial complexes, which account for 57.29% of Korea’s total energy use. Reliable data collection is essential for the study of Virtual Utility Plants (VUPs) to ensure accurate analysis and prediction. In this paper, we devised a data generation technique that goes beyond interpolation by using LSTM to recover missing data and ensure continuous availability. Additionally, we introduced FLAG, a technique that generates data based on existing patterns even when sensors fail. The resulting model achieved an RMSE of 4.20 and an accuracy of 96.59%, and was able to make over 120 predictions per second on a low-power device. This led to a study on deploying edge devices in individual factories.

목차

1. 서 론

2. 연구 방법

3. 연구 결과 및 고찰

4. 결 론

키워드

Low-Power Computing Edge Device Virtual Utility Plant LSTM Preprocessing System