"A Deep Neural Network Based Robust Intelligent Strategy for Microgrid " by Erphan A. Bhuiyan, Shahriar Rahman Fahim et al.
Microgrids frequently experience a massive amount of faults, which compromise stable operation, disrupts the loads, and increases the grid recovery expenditures. The diagnosis of microgrid system faults is severely reliant on dimensionality reduction and requires complex data acquisition. To address these issues, machine learning-based methods are extensively implemented for fault diagnosis of microgrids providing robust features and handling a massive amount of data. However, the existing machine learning techniques use simplified models which are not capable of investigating diverse and impl...
Source: uow.edu.au