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20182022
most citedA Survey on State Estimation Techniques and Challenges in Smart Distribution Systems

489 citations · 1k across the 19 of their papers we have counts for

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5 papers · 1 filter

stat.AP2018★ 30 cited

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…

eess.SY2018★ 28 cited

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…

eess.SY2018★ 489 cited

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…

eess.SY2018★ 73 cited

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…

eess.SY2018★ 35 cited

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…