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논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2024.6
- 수록면
- 1,042 - 1,045 (4page)
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초록· 키워드
오류제보하기
Novel strategies to optimize the energy economy of electric vehicles (EVs) are being investigated in response to their restricted range and the growing need for environmentally friendly transportation options. 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 combination of satellite imagery and a sky camera. 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 moving conditions is the focus of this research. Our investigation yields a remarkable outcome: a relative root-mean square error (rRMSE) of 20.19% in GHI prediction. 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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