A fair grid connection cost-sharing model for electricity based on the random forest machine learning method

Li Xie and Chun Kong

Utilities Policy, 2024, vol. 90, issue C

Abstract: Developing countries should clarify the dedicated grid connection cost-sharing model when reforming electricity user price policy, which could be learned from developed countries’ experiences. We use the random forest method and monthly data from several developed countries or regions, including the United States and the United Kingdom in 2018–2020, to identify key features that influence decision-makers in choosing dedicated grid connection cost-sharing models and simulate the connection cost-sharing models suitable for various regions of China using provincial data. It provides experience and enlightenment for China and other developing countries to implement the connection price policy reform.

Keywords: Dedicated grid; Connection cost-sharing; Random forest (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:juipol:v:90:y:2024:i:c:s0957178724001000

DOI: 10.1016/j.jup.2024.101807

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