山东大学教师主页 Han xueshan Day-Ahead Optimal Dispatch Strategy for Active Distribution Network Based on Improved Deep Reinforcement Learning Home

Han xueshan

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Supervisor of Doctorate Candidates
Supervisor of Master's Candidates

Gender:Male
Alma Mater:哈尔滨工业大学
Education Level:With Certificate of Graduation for Doctorate Study
Degree:Doctoral Degree in Engineering
Status:Employed
School/Department:电气工程学院
Date of Employment:2001-12-01
College: School of Electrical Engineering
Business Address:电力楼516

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Day-Ahead Optimal Dispatch Strategy for Active Distribution Network Based on Improved Deep Reinforcement Learning

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Institution:电气工程学院

Title of Paper:Day-Ahead Optimal Dispatch Strategy for Active Distribution Network Based on Improved Deep Reinforcement Learning

Journal: IEEE Access

Key Words:Active distribution networks;Adaptation models;Heuristic algorithms;Optimization;Reinforcement learning;Renewable energy sources;Uncertainty

First Author:李晓宇

Document Code:1541717123627237378

Volume:10

Page Number:9357-9370

Number of Words:1000

Translation or Not:No

Date of Publication:2022-01

Release Time:2023-01-03

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