activity
20212024
most citedIRMAC: Interpretable Refined Motifs in Binary Classification for Smart Grid Applications

7 citations · 14 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2024

Dynamic and Memory-efficient Shape Based Methodologies for User Type Identification in Smart Grid Applications

Rui Yuan, S. Ali Pourmousavi, Wen L. Soong +1

Detecting behind-the-meter (BTM) equipment and major appliances at the residential level and tracking their changes in real time is important for aggregators and traditional electr…

eess.SP2023★ 1 cited

A New Time Series Similarity Measure and Its Smart Grid Applications

Rui Yuan, Hossein Ranjbar, S. Ali Pourmousavi +4

Many smart grid applications involve data mining, clustering, classification, identification, and anomaly detection, among others. These applications primarily depend on the measur…

eess.SY2023★ 1 cited

Modelling Irrational Behaviour of Residential End Users using Non-Stationary Gaussian Processes

Nam Trong Dinh, Sahand Karimi-Arpanahi, Rui Yuan +4

Demand response (DR) plays a critical role in ensuring efficient electricity consumption and optimal use of network assets. Yet, existing DR models often overlook a crucial element…

cs.AI2022★ 4 cited

Predict+Optimize Problem in Renewable Energy Scheduling

Christoph Bergmeir, Frits de Nijs, Evgenii Genov +25

Predict+Optimize frameworks integrate forecasting and optimization to address real-world challenges such as renewable energy scheduling, where variability and uncertainty are criti…

cs.LG2022

Optimal activity and battery scheduling algorithm using load and solar generation forecasts

Yogesh Pipada Sunil Kumar, Rui Yuan, Nam Trong Dinh +1

Energy usage optimal scheduling has attracted great attention in the power system community, where various methodologies have been proposed. However, in real-world applications, th…

eess.SY2021★ 1 cited

Optimal activity and battery scheduling algorithm using load and solar generation forecast

Rui Yuan, Nam Trong Dinh, Yogesh Pipada +1

In this report, we provide a technical sequence on tackling the solar PV and demand forecast as well as optimal scheduling problem proposed by the IEEE-CIS 3rd technical challenge…

cs.LG2021★ 7 cited

IRMAC: Interpretable Refined Motifs in Binary Classification for Smart Grid Applications

Rui Yuan, S. Ali Pourmousavi, Wen L. Soong +2

Modern power systems are experiencing the challenge of high uncertainty with the increasing penetration of renewable energy resources and the electrification of heating systems. In…