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논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2023.11
- 수록면
- 489 - 492 (4page)
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초록· 키워드
오류제보하기
In response to the limited range of electric vehicles (EV) and the escalating demand for sustainable transportation solutions, innovative approaches are being explored to maximize their energy efficiency. One potential approach entails the identification of the optimal route for vehicles. Therefore, this study examines the prediction of global horizontal irradiance (GHI) around EV using satellite imagery, a semi-empirical model, and an optical flow method. Our primary objective is to facilitate real-time GHI forecasting, thereby facilitating optimal energy management and a significant reduction in carbon emissions. Examining GHI predictions under both moving and parking conditions is the focus of this research. Our investigation yields a remarkable outcome: a relative root-mean square error (rRMSE) of 10.92% in GHI prediction for a moving EV and 16.69% under parking conditions. These findings have significant implications for the burgeoning field of electric mobility, offering a path to improve energy efficiency and promote the integration of renewable energy sources into the transportation sector.
목차
Abstract
1. Introduction
2. Method
3. Result
4. Conclusion
References
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