Abstract: Efficient and accurate short-term electric load forecasting plays a significant role in energy conservation and reducing carbon emissions. Recurrent neural networks (RNN) and their derived ...
Abstract: We propose a Multi-graph Attention spatial-temporal graph convolutional network (MGA-STGCN) for AHP risk forecasting. To describe the temporal and spatial features of the area, we use ...
KUALA LUMPUR/JOHOR BAHRU – Just before dawn broke on Dec 11, Malaysia’s new electric train service (ETS) linking Kuala Lumpur to Johor Bahru rolled out of Kuala Lumpur Railway Station on a media ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback