19 citations · 39 across the 5 of their papers we have counts for
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cs.LG2022★ 2 cited
Adversarial Fine-tune with Dynamically Regulated Adversary
Pengyue Hou, Ming Zhou, Jie Han +2
Adversarial training is an effective method to boost model robustness to malicious, adversarial attacks. However, such improvement in model robustness often leads to a significant…
cs.LG2021
Federated Learning with Hyperparameter-based Clustering for Electrical Load Forecasting
Nastaran Gholizadeh, Petr Musilek
Electrical load prediction has become an integral part of power system operation. Deep learning models have found popularity for this purpose. However, to achieve a desired predict…
cs.LG2020★ 19 cited
Forecasting Photovoltaic Power Production using a Deep Learning Sequence to Sequence Model with Attention
Elizaveta Kharlova, Daniel May, Petr Musilek
Rising penetration levels of (residential) photovoltaic (PV) power as distributed energy resource pose a number of challenges to the electricity infrastructure. High quality, gener…