Online Distribution Network Scheduling via Provably Robust Learning Approach

Online Distribution Network Scheduling via Provably Robust Learning Approach

Distribution network scheduling (DNS) is the basis for distribution network management, which is computed in a periodical way via solving the formulated mixed-integer programming (MIP). To achieve the online scheduling, a provably robust learn-to-optimize approach for online DNS is proposed in this...

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Bibliographic Details
Main Authors: Naixiao Wang, Xinlei Cai, Linwei Sang, Tingxiang Zhang, Zhongkai Yi, Ying Xu
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Energies
Subjects:
distribution network scheduling
learn-to-optimize
online scheduling
machine learning
Online Access:https://www.mdpi.com/1996-1073/17/6/1361

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https://www.mdpi.com/1996-1073/17/6/1361

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