Logistic and scheduling optimization of the mobilized and
Afterwards, Yan et al. (Yan et al., 2018) established a quantitative model of battery transportation and logistics cost and energy loss by considering factors such as transportation distance, battery energy density and energy abandonment. Taking the data of four wind power bases in China as an example, the results show that the proposed model has