Electricity price forecasting using recurrent neural networks
Accurate electricity price forecasting has become a substantial requirement since the
liberalization of the electricity markets. Due to the challenging nature of electricity prices …
liberalization of the electricity markets. Due to the challenging nature of electricity prices …
Sampling-free epistemic uncertainty estimation using approximated variance propagation
We present a sampling-free approach for computing the epistemic uncertainty of a neural
network. Epistemic uncertainty is an important quantity for the deployment of deep neural …
network. Epistemic uncertainty is an important quantity for the deployment of deep neural …