Si Zhang

College of Engineering

Works (3)

Updated: April 5th, 2024 14:04

2023 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

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)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: June 28, 2021

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