논문 국내 국내전문학술지(KCI급) 정확도 향상을 위한 CNN-LSTM 기반 풍력발전 예측 시스템
- 학술지 구분 국내전문학술지(KCI급)
- 게재년월 2022-07
- 저자명 박래진, 강성우, 이재형, 정승민
- 학술지명 신재생에너지학회 논문지
- 발행처명 신재생에너지학회
- 발행국가 국내
- 논문언어 한국어
홈페이지논문 초록 (Abstract)
In this study, we propose a wind power generation prediction system that applies machine learning and data mining to predict wind power generation. This system increases the utilization rate of new and renewable energy sources. For time-series data, the data set was established by measuring wind speed, wind generation, and environmental factors influencing the wind speed. The data set was pre-processed so that it could be applied appropriately to the model. The prediction system applied the CNN (Convolutional Neural Network) to the data mining process and then used the LSTM (Long Short-Term Memory) to learn and make predictions. The preciseness of the proposed system is verified by comparing the prediction data with the actual data, according to the presence or absence of data mining in the model of the prediction system.