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Frontiers in Energy Research
(May 2022)
Machine Learning–Driven Deduction Prediction Methodology for Power Grid Infrastructure Investment and Planning
Yujie Wu,
Xianghua Li,
Xianghua Li,
Luao Zhang,
Cong Liu,
Cong Liu,
Wenxin Zhao,
Tao Zhang
Affiliations
Yujie Wu
College of Electrical and Information Engineering, Hunan University, Changsha, China
Xianghua Li
State Grid Hunan Electric Power Company Limited Economic and Technical Research Institute, Changsha, China
Xianghua Li
Hunan Key Laboratory of Energy Internet Supply-demand and Operation, Changsha, China
Luao Zhang
College of Electrical and Information Engineering, Hunan University, Changsha, China
Cong Liu
State Grid Hunan Electric Power Company Limited Economic and Technical Research Institute, Changsha, China
Cong Liu
Hunan Key Laboratory of Energy Internet Supply-demand and Operation, Changsha, China
Wenxin Zhao
College of Electrical and Information Engineering, Hunan University, Changsha, China
Tao Zhang
College of Electrical and Information Engineering, Hunan University, Changsha, China
DOI
https://doi.org/10.3389/fenrg.2022.893492
Journal volume & issue
Vol. 10
Abstract
Read online
No abstracts available.
Keywords
deduction prediction
project duration
investment schedule
cluster analysis
investment management
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