Yiyan Li

Works (9)

Updated: March 11th, 2025 08:41

2023 article

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

Shirsat, A., Muthukaruppan, V., Hu, R., Paduani, V. D., Xu, B., Song, L., … Tang, W. (2023, March 1). IEEE Transactions on Sustainable Energy, Vol. 14, pp. 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
topics (OpenAlex): Optimal Power Flow Distribution; Smart Grid Energy Management; Microgrid Control and Optimization
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Sources: Web Of Science, NC State University Libraries
Added: May 1, 2023

2022 article

A Reinforcement-learning-based Bidding Strategy for Power Suppliers with Limited Information

Jia, Q., Li, Y., Yan, Z., Xu, C., & Chen, S. (2022, January 1). Journal of Modern Power Systems and Clean Energy.

By: Q. Jia *, Y. Li n, Z. Yan *, C. Xu * & S. Chen *

author keywords: Power market; bidding strategy; limited information; repeated game; continuous action reinforcement learning automata
topics (OpenAlex): Electric Power System Optimization; Auction Theory and Applications; Smart Grid Energy Management
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Source: Web Of Science
Added: September 6, 2022

2022 article

Machine learning analytics for virtual bidding in the electricity market

Han, D., Huang, W., Ren, H., Zhao, W., & Li, Y. (2022, July 22). International Journal of Electrical Power & Energy Systems.

By: D. Han, W. Huang, H. Ren, W. Zhao & Y. Li*

author keywords: Virtual bidding; Markov decision process; Deep reinforcement learning; Conditional value at risk; Sharpe ratio
topics (OpenAlex): Smart Grid Energy Management; Electric Power System Optimization; Energy Load and Power Forecasting
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Source: Web Of Science
Added: August 15, 2022

2022 article

ProfileSR-GAN: A GAN Based Super-Resolution Method for Generating High-Resolution Load Profiles

Song, L., Li, Y., & Lu, N. (2022, March 9). IEEE Transactions on Smart Grid, Vol. 7.

By: L. Song n, Y. Li n & N. Lu n 

author keywords: Generative adversarial networks; Superresolution; Load modeling; Generators; Meteorology; Fluctuations; Data models; Generative adversarial networks; load profile generation; machine learning; non-intrusive load monitoring; super-resolution; synthetic data
topics (OpenAlex): Advanced Image Processing Techniques; Advanced Vision and Imaging; Image and Signal Denoising Methods
TL;DR: Results show that ProfileSR-GAN outperforms the state-of-the-art methods in all shape-based metrics and can achieve comparable performance with those methods in point-to-point matching accuracy, and the performance of a downstream task, non-intrusive load monitoring, can be significantly improved. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: July 11, 2022

2021 article

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

Hu, R., Li, Y., Zhang, S., Shirsat, A., Muthukaruppan, V., Tang, W., … Lu, N. (2021, July 26). 2021 IEEE Power &Amp; 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
topics (OpenAlex): Microgrid Control and Optimization; Optimal Power Flow Distribution; Smart Grid Energy Management
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)
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7. Affordable and Clean Energy (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: July 26, 2022

2021 article

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

Li, Y., Zhang, S., Hu, R., & Lu, N. (2021, May 2). Applied Energy, Vol. 7.

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
topics (OpenAlex): Energy Load and Power Forecasting; Grey System Theory Applications; Machine Learning and ELM
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

Bidding strategy of energy storage in imperfectly competitive flexible ramping market via system dynamics method

Huang, C., Han, D., Yan, Z., Li, Y., Sun, C., & Jia, Q. (2021, November 3). International Journal of Electrical Power & Energy Systems.

By: C. Huang *, D. Han *, Z. Yan *, Y. Li n, C. Sun * & Q. Jia *

author keywords: Bidding strategy; Energy storage; Flexible ramping product; Imperfect competition; System dynamics method
topics (OpenAlex): Smart Grid Energy Management; Electric Power System Optimization; Capital Investment and Risk Analysis
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7. Affordable and Clean Energy (Web of Science; OpenAlex)
Source: Web Of Science
Added: November 23, 2021

2021 article

Deviation insurance for Risk-Averse wind power producers in the Nordic power market

Jia, Q., Chen, S., Li, Y., & Yan, Z. (2021, July 28). International Journal of Electrical Power & Energy Systems.

By: Q. Jia *, S. Chen *, Y. Li n & Z. Yan *

author keywords: Wind power deviation; Insurance; Risk management; Nordic power market
topics (OpenAlex): Electric Power System Optimization; Risk and Portfolio Optimization; Agricultural risk and resilience
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7. Affordable and Clean Energy (Web of Science; OpenAlex)
Source: Web Of Science
Added: September 27, 2021

2021 article

Optimal Incentive Strategy in Cloud-Edge Integrated Demand Response Framework for Residential Air Conditioning Loads

Jia, Q., Chen, S., Yan, Z., & Li, Y. (2021, October 10). IEEE Transactions on Cloud Computing.

By: Q. Jia *, S. Chen *, Z. Yan * & Y. Li n

author keywords: Residential air conditioning loads; incentive-based demand response; reinforcement learning; cloud computing
topics (OpenAlex): Smart Grid Energy Management; Building Energy and Comfort Optimization; Energy Efficiency and Management
TL;DR: Simulation results based on 136 real-world residential users in Austin area demonstrate that the proposed CEI-DR framework can increase the social welfare by about $8.6/h compared to the traditional DLC method during a normal DR event. (via Semantic Scholar)
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Source: Web Of Science
Added: April 4, 2022

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