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03/29/2023
Targeted Adversarial Attacks on Wind Power Forecasts
In recent years, researchers proposed a variety of deep learning models ...
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10/12/2022
Fast Bayesian Updates for Deep Learning with a Use Case in Active Learning
Retraining deep neural networks when new data arrives is typically compu...
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04/29/2022
Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time-Series Forecast
Task embeddings in multi-layer perceptrons for multi-task learning and i...
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04/01/2022
Synthetic Photovoltaic and Wind Power Forecasting Data
Photovoltaic and wind power forecasts in power systems with a high share...
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09/29/2020