no code implementations • 10 Sep 2023 • Chenhan Xiao, Yizheng Liao, Yang Weng
The results show that we can detect and localize the outage in a timely manner with only voltage magnitudes and without assuming a prior knowledge of outage patterns.
no code implementations • 5 Oct 2022 • Ling-Wei Kong, Yang Weng, Bryan Glaz, Mulugeta Haile, Ying-Cheng Lai
We articulate the design imperatives for machine-learning based digital twins for nonlinear dynamical systems subject to external driving, which can be used to monitor the ``health'' of the target system and anticipate its future collapse.
no code implementations • 1 Jun 2022 • Haoran Li, Yang Weng, Hanghang Tong
In the first step of searching for right symbols, we convexify the deep Q-learning.
no code implementations • 19 May 2022 • Bilal Saleem, Yang Weng
Distributed energy resources are better for the environment but may cause transformer overload in distribution grids, calling for recovering meter-transformer mapping to provide situational awareness, i. e., the transformer loading.
no code implementations • 24 Mar 2022 • Kishan Prudhvi Guddanti, Amarsagar Matavalam, Yang Weng
When compared to existing methods, we observe that LD-VSI is not only more robust to measurement noise but also can identify VCP.
no code implementations • 18 Dec 2021 • Amarsagar Reddy Ramapuram Matavalam, Kishan Prudhvi Guddanti, Yang Weng, Venkataramana Ajjarapu
To address the challenge of the large optimization space, a curriculum-based approach with reward tuning is incorporated into the training procedure by modifying the environment using network physics for enhanced agent learning.
no code implementations • 3 Nov 2021 • Erik Blasch, Haoran Li, Zhihao Ma, Yang Weng
To meet society requirements, this paper proposes a methodology to develop, deploy, and evaluate AI systems in the energy sector by: (1) understanding the power system measurements with physics, (2) designing AI algorithms to forecast the need, (3) developing robust and accountable AI methods, and (4) creating reliable measures to evaluate the performance of the AI model.
no code implementations • 29 Sep 2021 • Jingyi Yuan, Haoran Li, Erik Blasch, Yang Weng
RISE is based on a complete analysis for the generalizability of data properties for physical systems.
no code implementations • 29 Sep 2021 • Haoran Li, Erik Blasch, Jingyi Yuan, Yang Weng
Thus, we propose (1) sparsity regularization for the physical model and (2) physical superiority over the virtual model.
no code implementations • 29 Sep 2021 • Napoleon Costilla-Enriquez, Yang Weng
To prove our point, we examine dataset transformations used in the literature to adapt machine learning-based methods across domains and show that these dataset transformations are not always beneficial in terms of performance.
no code implementations • 29 Sep 2021 • Muhao Guo, Yang Weng
In this paper, by exploring and summarizing the essential differences between quantum kernel functions and classical kernel functions, we propose a criterion based on inter-class and intra-class distance and geometric properties to determine under what circumstances quantum kernel methods will be superior.
no code implementations • 1 Apr 2021 • Yizheng Liao, Yang Weng, Chin-Woo Tan, Ram Rajagopal
The growing integration of distributed energy resources (DERs) in distribution grids raises various reliability issues due to DER's uncertain and complex behaviors.
no code implementations • 14 Nov 2018 • Yizheng Liao, Yang Weng, Chin-Woo Tan, Ram Rajagopal
This makes the theory on optimal change-point detection suitable to identify line outages via $\mu$PMUs with fast and accurate sampling.
no code implementations • 18 Sep 2018 • Yizheng Liao, Yang Weng, Guangyi Liu, Zhongyang Zhao, Chin-Woo Tan, Ram Rajagopal
Then, this paper proves that the Chow-Liu algorithm finds the topology by utilizing power flow equations and the conditional independence relationships implied by the radial multi-phase structure of distribution grids with the presence of incorrect bus phase labels.
no code implementations • 6 Nov 2016 • Yizheng Liao, Yang Weng, Guangyi Liu, Ram Rajagopal
The increasing penetration of distributed energy resources poses numerous reliability issues to the urban distribution grid.
no code implementations • 5 Nov 2015 • Pan Li, Baosen Zhang, Yang Weng, Ram Rajagopal
Accurate prediction of user consumption is a key part not only in understanding consumer flexibility and behavior patterns, but in the design of robust and efficient energy saving programs as well.