A Prediction Method of Charging Station Capacity Based on Deep Learning
Zhi Li, Xingzhe Hou, Yongxiang Liu, Hongliang Sun, Zhu Zhu, Yi Long, Tingting Xu · 2017
With the national new energy strategy periodically adjusting and continuously advancing, the construction of electric vehicles charging infrastructure getting increasingly closing, the problem of power supply capacity prediction that the social users in some region use it to charge their electric vehicles is the key issue that affects the power grid construction. In this paper, a forecasting method that based on machine learning is proposed to solve the problem.