상세정보
학술대회
Transformer Based Prediction Method for Solar Power Generation Data
- 발행일
- 202110
- 출처
- International Conference on Information and Communication Technology Convergence (ICTC) 2021, pp.1-3
- 협약과제
- 21ZK1100, 호남권 지역산업 기반 ICT 융합기술 고도화 지원사업, 이길행
- 초록
- In this paper, we propose a technique to increase the precision of solar power generation data prediction by using a time-series-based transformer deep learning model. By partially modifying the transformer model, which is widely used for language translation, we use it by changing the input and output of the model in the form of predicting future data. Finally, through comparison with other prediction models, it was confirmed that the proposed model showed very good prediction performance.
- KSP 제안 키워드
- Language Translation, Learning model, Proposed model, Solar Power Generation, Time series, data prediction, deep learning(DL), input and output, prediction method, prediction model, prediction performance