Works (9)

Updated: January 16th, 2024 08:09

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 ...

co-author countries: United States of America 🇺🇸
author keywords: Active distribution networks; community microgrids; hybrid PV systems; load restoration; high-impact low-frequency events; secure operation; uncertainty; resiliency
Sources: Web Of Science, ORCID
Added: March 2, 2023

2022 journal article

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

JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 10(4), 1032–1039.

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

co-author countries: China 🇨🇳 United States of America 🇺🇸
author keywords: Power market; bidding strategy; limited information; repeated game; continuous action reinforcement learning automata
Source: Web Of Science
Added: September 6, 2022

2022 journal article

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

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 136.

co-author countries: China 🇨🇳 United States of America 🇺🇸
author keywords: Bidding strategy; Energy storage; Flexible ramping product; Imperfect competition; System dynamics method
Source: Web Of Science
Added: November 23, 2021

2022 journal article

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

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 134.

co-author countries: China 🇨🇳 United States of America 🇺🇸
author keywords: Wind power deviation; Insurance; Risk management; Nordic power market
Source: Web Of Science
Added: September 27, 2021

2022 journal article

Machine learning analytics for virtual bidding in the electricity market

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 143.

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
Source: Web Of Science
Added: August 15, 2022

2022 journal article

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

IEEE TRANSACTIONS ON CLOUD COMPUTING, 10(1), 31–42.

co-author countries: China 🇨🇳 United States of America 🇺🇸
author keywords: Residential air conditioning loads; incentive-based demand response; reinforcement learning; cloud computing
Source: Web Of Science
Added: April 4, 2022

2022 journal article

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

IEEE TRANSACTIONS ON SMART GRID, 13(4), 3278–3289.

By: L. Song n, Y. Li n & N. Lu

co-author countries: United States of America 🇺🇸
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
Sources: Web Of Science, ORCID
Added: June 22, 2022

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

co-author countries: United States of America 🇺🇸
author keywords: distributed energy resource; energy management; microgrid; power distribution system; service restoration
Sources: Web Of Science, ORCID
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

co-author countries: United States of America 🇺🇸
author keywords: Distribution system; Load forecasting; Machine learning; Meta-learning; Model selection; Ensemble learning
Sources: Web Of Science, ORCID
Added: June 28, 2021

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