Jiyu Wang

Works (4)

Updated: July 5th, 2023 14:20

2021 article

A Data-driven Pivot-point-based Time-series Feeder Load Disaggregation Method

2021 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM).

By: J. Wang n, X. Zhu n, M. Liang  n, Y. Meng  n, A. Kling *, D. Lubkeman n , N. Lu n 

Sources: Web Of Science, ORCID
Added: July 26, 2022

2021 journal article

FeederGAN: Synthetic Feeder Generation via Deep Graph Adversarial Nets

IEEE TRANSACTIONS ON SMART GRID, 12(2), 1163–1173.

By: M. Liang  n, Y. Meng  n, J. Wang n, D. Lubkeman n  & N. Lu 

author keywords: Topology; Generative adversarial networks; Directed graphs; Deep learning; Network topology; Gallium nitride; Integrated circuit modeling; Deep learning; distribution system; generative adversarial networks (GAN); graph convolutional networks (GCN); graph theory; synthetic feeder
TL;DR: This article presents a novel, automated, generative adversarial networks (GAN) based synthetic feeder generation mechanism, abbreviated as FeederGAN, which resembles the actual feeder in both topology and attributes verified by visual inspection and by empirical statistics obtained from actual distribution feeders. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: April 12, 2021

2021 article

FeederGAN: Synthetic Feeder Generation via Deep Graph Adversarial Nets

2021 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM).

By: M. Liang  n, Y. Meng  n, J. Wang n, D. Lubkeman n  & N. Lu n 

TL;DR: This paper presents a novel, automated, generative adversarial networks (GAN) based synthetic feeder generation mechanism, abbreviated as FeederGAN, which resembles the actual feeder in both topology and attributes verified by visual inspection and by empirical statistics obtained from actual distribution feeders. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: July 26, 2022

2017 conference paper

Voltage-load sensitivity matrix based demand response for voltage control in high solar penetration distribution feeders

2017 IEEE Power & Energy Society General Meeting. Presented at the 2017 IEEE Power & Energy Society General Meeting (PESGM).

By: X. Zhu  n, J. Wang n, D. Mulcahy n, D. Lubkeman n , N. Lu , N. Samaan *, R. Huang*

Event: 2017 IEEE Power & Energy Society General Meeting (PESGM)

Sources: NC State University Libraries, ORCID, Crossref
Added: August 6, 2018

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