Rongxing Hu

College of Engineering

Works (7)

Updated: April 5th, 2024 14:04

2024 journal article

Adaptive cold-load pickup considerations in 2-stage microgrid unit commitment for enhancing microgrid resilience

APPLIED ENERGY, 356.

By: R. Hu n, A. Shirsat n , V. Muthukaruppan n, Y. Li  n, S. Zhang n, W. Tang n, M. Baran n , N. Lu n 

author keywords: Cold load pickup; Load shedding; Microgrid; Reconfiguration; Resilience service; Unit commitment
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: January 16, 2024

2023 journal article

A Secure and Adaptive Hierarchical Multi-Timescale Framework for Resilient Load Restoration Using a Community Microgrid

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 14(2), 1057–1075.

By: A. Shirsat *, V. Muthukaruppan *, R. Hu n, V. Paduani *, B. Xu n , L. Song n, Y. Li n, N. Lu n  ...

author keywords: Active distribution networks; community microgrids; hybrid PV systems; load restoration; high-impact low-frequency events; secure operation; uncertainty; resiliency
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Sources: Web Of Science, NC State University Libraries
Added: May 1, 2023

2023 article

An ICA-Based HVAC Load Disaggregation Method Using Smart Meter Data

2023 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE, ISGT.

By: H. Kim n, K. Ye n, H. Lee n, R. Hu n, N. Lu n , D. Wu *, P. Rehm

author keywords: HVAC system; Independent component analysis; Non-intrusive load monitoring; Smart meter data
TL;DR: An independent component analysis (ICA) based unsupervised-learning method for heat, ventilation, and air-conditioning (HVAC) load disaggregation using low-resolution smart meter data and uses the dependency between the daily nocturnal and diurnal loads extracted from historical meter data to smooth the base load profile. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: June 5, 2023

2023 article

Design Considerations of a Coordinative Demand Charge Mitigation Strategy

2023 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM.

By: R. Hu n, K. Ye n, H. Kim n, H. Lee n, N. Lu n , D. Wu *, P. Rehm

author keywords: demand reduction; demand response; load forecast; payback; peak demand probability.
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: November 20, 2023

2021 article

A Load Switching Group based Feeder-level Microgrid Energy Management Algorithm for Service Restoration in Power Distribution System

2021 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM).

By: R. Hu n, Y. Li n, S. Zhang n, A. Shirsat n , V. Muthukaruppan n, W. Tang n, M. Baran n , D. Lubkeman n , N. Lu n 

author keywords: distributed energy resource; energy management; microgrid; power distribution system; service restoration
TL;DR: Simulation results show that the LSG-EMS successfully coordinates multiple grid-forming sources by selecting an optimal supply topology that maximizes the supply period of both the critical and noncritical loads while minimizing customer service interruptions in the service restoration process. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: July 26, 2022

2021 journal article

A meta-learning based distribution system load forecasting model selection framework

APPLIED ENERGY, 294.

By: Y. Li n, S. Zhang n, R. Hu n & N. Lu n 

author keywords: Distribution system; Load forecasting; Machine learning; Meta-learning; Model selection; Ensemble learning
TL;DR: This paper presents a meta-learning based, automatic distribution system load forecasting model selection framework that uses user load forecasting needs as input features, multiple meta-learners are used to rank the available load forecast models based on their forecasting accuracy. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: June 28, 2021

2021 article

Hierarchical Multi-timescale Framework For Operation of Dynamic Community Microgrid

2021 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM).

By: A. Shirsat n , V. Muthukaruppan n, R. Hu n, N. Lu n , M. Baran n , D. Lubkeman n , W. Tang n

author keywords: Community microgrids; dynamic microgrids; multi-timescale; service restoration; distributed PV generators
TL;DR: A three-stage hierarchical multi-timescale framework for scheduling and real-time (RT) dispatch of CMGs, which shows superior performance in terms of RT load supplied under different forecast error cases, outage duration scenarios, and against the traditionally used two-stage approach. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: July 26, 2022

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