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Degree:Doctoral Degree in Engineering
Status:Employed
School/Department:电气工程学院

王孟夏

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Gender:Male

Education Level:Postgraduate (Postdoctoral)

Alma Mater:山东大学

Paper Publications

Improved convolutional neural network-based quantile regression for regional photovoltaic generation probabilistic forecast
Release Time:2021-06-01 | Hits:

Institution:电气工程学院

Title of Paper:Improved convolutional neural network-based quantile regression for regional photovoltaic generation probabilistic forecast

Journal:IET RENEWABLE POWER GENERATION

First Author:于一潇

Document Code:B44CBAC7F9CD4A93847D053E8C78B406

Volume:14

Issue:14

Page Number:2712

Number of Words:7

Translation or Not:No

Date of Publication:2020-10