2019
DOI: 10.1016/j.enpol.2019.06.004
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Integration in the European electricity market: A machine learning-based convergence analysis for the Central Western Europe region

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Cited by 17 publications
(2 citation statements)
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“…On the one hand, we should consider the characteristics of different groups and choose the corresponding distribution mode; on the other hand, we should also consider the customer satisfaction and cost (Saez et al 2019 ). Setting the selection time window and automatically changing the delivery mode can reduce the uncertainty of waiting time, reduce the risk of failure, and realize the quantification of express waiting time.…”
Section: Optimal Route Selection Model Of Cross Border E-commerce Tramentioning
confidence: 99%
“…On the one hand, we should consider the characteristics of different groups and choose the corresponding distribution mode; on the other hand, we should also consider the customer satisfaction and cost (Saez et al 2019 ). Setting the selection time window and automatically changing the delivery mode can reduce the uncertainty of waiting time, reduce the risk of failure, and realize the quantification of express waiting time.…”
Section: Optimal Route Selection Model Of Cross Border E-commerce Tramentioning
confidence: 99%
“…Beyond that, more recent studies highlight the impact of the promotion of renewables on market integration. There is evidence of weakening integration as RES-E increases (Gianfreda, et al, 2016;Menezes, et al, 2016), especially if the adaptation of transmission lines to renewables was not made (Saez, et al, 2019).…”
Section: Convergence Of Wholesale Electricity Prices Across European ...mentioning
confidence: 99%