8 citations · 8 across the 1 of their papers we have counts for
2 papers
cs.SI2019★ 8 cited
Deep Generative Graph Distribution Learning for Synthetic Power Grids
Mahdi Khodayar, Jianhui Wang, Zhaoyu Wang
Power system studies require the topological structures of real-world power networks; however, such data is confidential due to important security concerns. Thus, power grid synthe…
cs.LG2018
Convolutional Graph Auto-encoder: A Deep Generative Neural Architecture for Probabilistic Spatio-temporal Solar Irradiance Forecasting
Mahdi Khodayar, Saeed Mohammadi, Mohammad Khodayar +2
Machine Learning on graph-structured data is an important and omnipresent task for a vast variety of applications including anomaly detection and dynamic network analysis. In this…