A Deep Learning-Based Approach For Solving Optimal Power Flow Problems With Flexible Topology

一種基於深度學習的求解可變拓撲下最優潮流問題的方法

Research output: Patents, Agreements and Assignments › RGC 51 - Patents (CityUHK)

Overview

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Author(s)

Minghua CHEN (Inventor)
Min ZHOU (Inventor)

Related Research Unit(s)

Department of Data Science

Detail(s)

Original language	English
Filing number	18/346,923
Publication status	Accepted/In press/Filed - 5 Jul 2023

Link(s)

	Check@CityULib
Permanent Link	https://scholars.cityu.edu.hk/en/publications/publication(366608aa-9efc-4d1c-9862-f8f5b423873b).html

Citation Format(s)

[ RIS ] [ BibTeX ]

A Deep Learning-Based Approach For Solving Optimal Power Flow Problems With Flexible Topology. / CHEN, Minghua (Inventor); ZHOU, Min (Inventor).
Jul 05, 2023.

Research output: Patents, Agreements and Assignments › RGC 51 - Patents (CityUHK)

CHEN, M & ZHOU, M Jul. 05 2023, A Deep Learning-Based Approach For Solving Optimal Power Flow Problems With Flexible Topology.

CHEN, M., & ZHOU, M. (in press). A Deep Learning-Based Approach For Solving Optimal Power Flow Problems With Flexible Topology.

CHEN M , ZHOU M, inventors. A Deep Learning-Based Approach For Solving Optimal Power Flow Problems With Flexible Topology. 2023 Jul 5.

CHEN, Minghua (Inventor) ; ZHOU, Min (Inventor). / A Deep Learning-Based Approach For Solving Optimal Power Flow Problems With Flexible Topology. Jul 05, 2023.