Search Results for author: M. Liu

Found 5 papers, 2 papers with code

Non-iterative Optimization Algorithm for Active Distribution Grids Considering Uncertainty of Feeder Parameters

no code implementations9 May 2021 J. Wu, M. Liu, W. Lu, K. Xie, M. Xie

To cope with fast-fluctuating distributed energy resources (DERs) and uncontrolled loads, this paper formulates a time-varying optimization problem for distribution grids with DERs and develops a novel non-iterative algorithm to track the optimal solutions.

Invariance, encodings, and generalization: learning identity effects with neural networks

1 code implementation21 Jan 2021 S. Brugiapaglia, M. Liu, P. Tupper

But can identity effects be learned from the data without explicit guidance?

Solar wind energy flux observations in the inner heliosphere: First results from Parker Solar Probe

no code implementations8 Jan 2021 M. Liu, K. Issautier, N. Meyer-Vernet, M. Moncuquet, M. Maksimovic, J. S. Halekas, J. Huang, L. Griton, S. Bale, J. W. Bonnell, A. W. Case, K. Goetz, P. R. Harvey, J. C. Kasper, R. J. MacDowall, D. M. Malaspina, M. Pulupa, M. L. Stevens

We investigate the solar wind energy flux in the inner heliosphere using 12-day observations around each perihelion of Encounter One (E01), Two (E02), Four (E04), and Five (E05) of Parker Solar Probe (PSP), respectively, with a minimum heliocentric distance of 27. 8 solar radii ($R_\odot{}$).

Solar and Stellar Astrophysics Space Physics

Flow-based Algorithms for Improving Clusters: A Unifying Framework, Software, and Performance

2 code implementations20 Apr 2020 K. Fountoulakis, M. Liu, D. F. Gleich, M. W. Mahoney

Possible reasons for this are: the steep learning curve for these algorithms; the lack of efficient and easy to use software; and the lack of detailed numerical experiments on real-world data that demonstrate their usefulness.

Clustering Community Detection +1

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