A prediction method for provincial power substitution potential based on Lasso-XGBoost-Stacking

A prediction method for provincial power substitution potential based on Lasso-XGBoost-Stacking

In order to better grasp the quantitative potential of provincial power substitution， a prediction model based on Lasso-XGBoost-Stacking is proposed. Five influencing factors， including economic development， environmental protection， energy price， policy support and technological progress， are quant...

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Bibliographic Details
Main Authors: LU Chunguang, GE Mengliang, SONG Lei, WU Jiliang, PAN Guobing
Format: Article
Language:zho
Published: zhejiang electric power 2023-09-01
Series:Zhejiang dianli
Subjects:
power substitution
lasso regression
xgboost
stacking
quantified influencing factors
Online Access:https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=2b8b200a-12e3-4453-bf9a-131d37de5ed4

Internet

https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=2b8b200a-12e3-4453-bf9a-131d37de5ed4

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