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Analysis of Deep Learning Sequence Models for Short Term Load Forecasting
(Springer Science and Business Media Deutschland GmbH, 2023)
Short Term Load Forecasting (STLF) is an essential part of generator scheduling in power plants. Better scheduling is crucial for both economic and environmental aspects. In this study, two different deep learning (DL) ...
Impacts of feeder failure statistics on EV-supported distribution system reliability improvement
(Institute of Electrical and Electronics Engineers Inc., 2019)
Electric vehicle parking lots (EVPLs) create new alternatives for planning and operation of distribution systems with its aggregated EV potential and charging/discharging coordination. On the other hand, distributed storage ...
Spleen segmentation on CT using convolutional neural network
(Institute of Electrical and Electronics Engineers Inc., 2019)
The automated segmentation systems have been evolving from experimental to clinical applications in radiology. By taking advantage of these, radiologists can increase diagnostic accuracy in their interpretations. In this ...