Dependent Discrete Convolution Based Probabilistic Load Flow for the Active Distribution System
By Yi Wang, Ning Zhang, Qixin Chen, Jingwei Yang, Chongqing Kang, Jun-hui Huang. IEEE Transactions on Sustainable Energy, 2017
78 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/e32a6a62503ea0076378b77627a0a14c4c16a016
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In Electrical and Electronic Engineering
Citations in the corpus
- Optimal Scheduling of an Isolated Microgrid With Battery Storage Considering Load and Renewable Generation Uncertainties (2018, methodology): “The proposed DST is a powerful mathematical tool to handle multiple uncertainties, which is based on the sequence convolution in the field of digital signal processing [30].”