no code implementations • 12 Sep 2023 • Han Pyo Lee, Keith DSouza, Ke Chen, Ning Lu, Mesut Baran
However, the effectiveness of this scheme is not well documented, and there is limited literature on alternative control and placement schemes that can maximize the effective use of a DVC.
no code implementations • 7 Nov 2022 • Han Pyo Lee, Yiyan Li, Lidong Song, Di wu, Ning Lu
In contrast to many existing methods, we treat CVR baseline estimation as a missing data retrieval problem.
no code implementations • 3 Oct 2022 • Yi Hu, Yiyan Li, Lidong Song, Han Pyo Lee, PJ Rehm, Matthew Makdad, Edmond Miller, Ning Lu
This paper presents a deep-learning framework, Multi-load Generative Adversarial Network (MultiLoad-GAN), for generating a group of synthetic load profiles (SLPs) simultaneously.
no code implementations • 1 Oct 2022 • Han Pyo Lee, PJ Rehm, Matthew Makdad, Edmond Miller, Ning Lu
To ensure the credibility of the identification results, utility engineers conduct field verification for all 13 feeders.
no code implementations • 19 Sep 2022 • Hyeonjin Kim, Kai Ye, Han Pyo Lee, Rongxing Hu, Ning Lu, Di wu, PJ Rehm
The residual load profiles are processed using ICA for HVAC load extraction.
no code implementations • 20 Nov 2021 • Han Pyo Lee, Mingzhi Zhang, Mesut Baran, Ning Lu, PJ Rehm, Edmond Miller, Matthew Makdad
To improve the identification accuracy, a data segmentation method is proposed to exclude data segments that are collected when the voltage correlation between smart meters on the same phase are weakened.