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).

co-author countries: United States of America 🇺🇸
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

co-author countries: United States of America 🇺🇸
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
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

co-author countries: United States of America 🇺🇸
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*

co-author countries: United States of America 🇺🇸

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

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