Simulated and Synthetic Data Generation for Interdependent Natural Gas and Electrical Power System Based on Graph Theory and Machine Learning
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下载链接：
https://www.designsafe-ci.org/data/browser/public/designsafe.storage.published/PRJ-2413
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资源简介：
The overall objective of this project is to apply recent advances in machine learning techniques and graph theory to investigate practical data-based approaches for producing simulated and synthetic datasets that faithfully represent interdependence between natural gas networks and power grids from mechanistic and human aspects.
提供机构：
Designsafe-CI
创建时间：
2019-06-13
