Extraction of Spatial-Temporal Features of Bus Loads in Electric Grids through Clustering in a Dynamic Model Space

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SEEK ID: https://publications.h-its.org/publications/346

DOI: 10.1109/ACCESS.2019.2963071

Research Groups: Data Mining and Uncertainty Quantification

Publication type: Journal

Journal: IEEE Transactions on Sustainable Energy

Citation: IEEE Access 8:5852-5861

Date Published: 2019

URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8945335

Registered Mode: imported from a bibtex file

Authors: Wei Zhang, Gang Mu, Chen Song, Gangui Yan, Vincent Heuveline

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Zhang, W., Mu, G., Song, C., Yan, G., & Heuveline, V. (2020). Extraction of Spatial-Temporal Features of Bus Loads in Electric Grids Through Clustering in a Dynamic Model Space. In IEEE Access (Vol. 8, pp. 5852–5861). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/access.2019.2963071

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Created: 7th Sep 2019 at 12:08

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Extraction of Spatial-Temporal Features of Bus Loads in Electric Grids through Clustering in a Dynamic Model Space

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