4 citations · 4 across the 3 of their papers we have counts for
6 papers · 1 filter
A Data-Driven Customer Segmentation Strategy Based on Contribution to System Peak Demand
Yuxuan Yuan, Kaveh Dehghanpour, Fankun Bu +1
Advanced metering infrastructure (AMI) enables utilities to obtain granular energy consumption data, which offers a unique opportunity to design customer segmentation strategies ba…
A Data-Driven Framework for Assessing Cold Load Pick-up Demand in Service Restoration
Fankun Bu, Kaveh Dehghanpour, Zhaoyu Wang +1
Cold load pick-up (CLPU) has been a critical concern to utilities. Researchers and industry practitioners have underlined the impact of CLPU on distribution system design and servi…
A Learning-based Power Management for Networked Microgrids Under Incomplete Information
Qianzhi Zhang, Kaveh Dehghanpour, Zhaoyu Wang +1
This paper presents an approximate Reinforcement Learning (RL) methodology for bi-level power management of networked Microgrids (MG) in electric distribution systems. In practice,…
A Survey on State Estimation Techniques and Challenges in Smart Distribution Systems
Kaveh Dehghanpour, Zhaoyu Wang, Jianhui Wang +2
This paper presents a review of the literature on State Estimation (SE) in power systems. While covering some works related to SE in transmission systems, the main focus of this pa…
A Game-Theoretic Data-Driven Approach for Pseudo-Measurement Generation in Distribution System State Estimation
Kaveh Dehghanpour, Yuxuan Yuan, Zhaoyu Wang +1
In this paper, we present an efficient computational framework with the purpose of generating weighted pseudo-measurements to improve the quality of Distribution System State Estim…
A Multi-Timescale Data-Driven Approach to Enhance Distribution System Observability
Yuxuan Yuan, Kaveh Dehghanpour, Fankun Bu +1
This paper presents a novel data-driven method that determines the daily consumption patterns of customers without smart meters (SMs) to enhance the observability of distribution s…