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Can Huang

Researcher at Lawrence Livermore National Laboratory

Publications -  57
Citations -  1533

Can Huang is an academic researcher from Lawrence Livermore National Laboratory. The author has contributed to research in topics: Computer science & Electric power system. The author has an hindex of 20, co-authored 47 publications receiving 955 citations. Previous affiliations of Can Huang include University of Tennessee & Southeast University.

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A bibliometric review of green building research 2000–2016

TL;DR: In this article, a summary of green building research through a bibliometric approach was presented, and a total of 2980 articles published in 2000-2016 were reviewed and analyzed.
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Maximum Power Point Tracking Strategy for Large-Scale Wind Generation Systems Considering Wind Turbine Dynamics

TL;DR: This paper presents a new control strategy for large-scale wind energy conversion systems (WECS) to achieve a balance between power output maximization and operating cost minimization and demonstrates that the proposed approach can obtain a higher efficiency.
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Detecting False Data Injection Attacks Against Power System State Estimation With Fast Go-Decomposition Approach

TL;DR: This paper relies on the low rank characteristic of the measurement matrix and the sparsity of the attack matrix to reformulate the FDIA detection as a matrix separation problem and shows that the GoDec algorithm outperforms the other three alternatives and demonstrates a much higher computational efficiency.
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Duality-Free Decomposition Based Data-Driven Stochastic Security-Constrained Unit Commitment

TL;DR: A duality-free decomposition method is proposed in this paper that does not require doing duality, which can save a large set of dual variables and constraints, and therefore reduces the computational burden.
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Distributed Data Analytics Platform for Wide-Area Synchrophasor Measurement Systems

TL;DR: A distributed data analytics platform is proposed in this paper to process large volume, high velocity dataset and a variety of real-time and non-real-time synchrophasor data analytics applications are hosted by it.