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Wei Zhuang, Zhiheng Li, Ying Wang, Qingyu Xi and Min Xia
Predicting photovoltaic (PV) power generation is a crucial task in the field of clean energy. Achieving high-accuracy PV power prediction requires addressing two challenges in current deep learning methods: (1) In photovoltaic power generation prediction...
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Jianing Ding, Xin Jin and Zhiheng Li
The Time-Period-Based Most Frequent Path (TPMFP) problem has been a hot topic in traffic studies for many years. The TPMFP problem involves finding the most frequent path between two locations by observing the travelling behaviors of drivers in a specifi...
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Ziheng Liu, Huaiyu He, Jiannan Li, Jialong Hao, Junyue Tang, Zhiheng Zhang, Shengyuan Jiang, Guanxin Chi, Ranran Liu, Lei Wang, Hao Geng and Changbin Xue
According to the big impact hypothesis, the moon should be very dry. However, more and more evidence from the remote sensing of the moon in recent years indicates that there is a lot of water in the moon?s polar regions. Researching the source and distri...
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Zhiheng Wang, Xiaozhao Li, Nikolai Bobylev, Shuchen Li and Jiangfeng Liu
The harmonious development of urban rail transit, underground space engineering, and social economy is the key to regional sustainable development. Based on synergetic theory, this paper constructs the coupling coordination evaluation system of ?rail tra...
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Yuhang Han, Bin Liu, Dan Xu, Chaoguo Yuan, Yanan Xu, Jinxia Sha, Su Li, Yifan Chang, Bolun Sun and Zhiheng Xu
The impact of global climate change on the temporal and spatial variations of precipitation is significant. In this study, daily temperature and precipitation data from 258 meteorological stations in the Haihe River Basin, for the period 1960?2020, were ...
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Zhengxing Wang, Jutao Hao, Zhiheng Sun, Baodong Ma, Shifa Xia and Xiulin Li
This work could be used to prevent the blistering of asphalt concrete facing.
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