2021 journal article

Scenario Reduction for Stochastic Day-Ahead Scheduling: A Mixed Autoencoder Based Time-Series Clustering Approach

IEEE TRANSACTIONS ON SMART GRID, 12(3), 2652–2662.

By: J. Liang n & W. Tang n

author keywords: Time series analysis; Renewable energy sources; Optimization; Computer architecture; Task analysis; Stochastic processes; Neural networks; Dimensionality reduction; time-series clustering; renewable energy integration; scenario reduction
TL;DR: A mixed autoencoder based clustering approach to select a reduced scenario set from high-dimensional time series and shows that the model outperforms the state of the art, in terms of statistical metrics and through empirical analysis. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (Web of Science; OpenAlex)
Source: Web Of Science
Added: May 24, 2021

2020 journal article

Interval based transmission contingency-constrained unit commitment for integrated energy systems with high renewable penetration

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 119.

By: J. Liang n & W. Tang n

author keywords: Contingency-constrained unit commitment; Integrated energy system; Interval optimization; Power-to-gas
TL;DR: A novel interval optimization framework of contingency-constrained unit commitment for integrated energy systems is developed that incorporates the risk preferences of decision makers in the framework to alleviate the conservativeness of solutions. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (Web of Science; OpenAlex)
Source: Web Of Science
Added: April 27, 2020

2020 journal article

Sequence Generative Adversarial Networks for Wind Power Scenario Generation

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 38(1), 110–118.

By: J. Liang n & W. Tang n

author keywords: Deep learning; generative models; renewable energy integration; scenario generation
TL;DR: A distribution-free approach for wind power scenario generation is proposed, using sequence generative adversarial networks coupled with reinforcement learning, which avoids manual labeling and captures the complex dynamics of the weather. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (Web of Science; OpenAlex)
Source: Web Of Science
Added: April 20, 2020

2020 journal article

Stochastic multistage co-planning of integrated energy systems considering power-to-gas and the cap-and-trade market

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 119.

By: J. Liang n & W. Tang n

author keywords: Branch-and-price algorithm; Multistage stochastic programming; Expansion co-planning for integrated power and gas systems; Power-to-gas
TL;DR: An expansion co-planning model for integrated power and gas systems where uncertainties in both systems are considered is developed and a scenario based decomposition scheme called branch-and-price is presented. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (Web of Science; OpenAlex)
Source: Web Of Science
Added: April 27, 2020

2020 journal article

Sustainable community based PV-storage planning using the Nash bargaining solution

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 118.

By: J. Liang n, A. Shirsat n & W. Tang n

author keywords: Cooperative game; Nash bargaining solution; PV-storage expansion planning; Scenario generation; Zero-energy community
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: March 30, 2020

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