In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance

25 February 2023

Papers citing "In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance"

5 / 5 papers shown

Title
Out of Distribution Generalization in Machine Learning Martín Arjovsky OOD CML 51 93 0 03 Mar 2021
N-BEATS neural network for mid-term electricity load forecasting Boris N. Oreshkin Grzegorz Dudek Paweł Pełka Ekaterina Turkina AI4TS 29 86 0 24 Sep 2020
Adaptive Methods for Short-Term Electricity Load Forecasting During COVID-19 Lockdown in France David Obst Joseph de Vilmarest Y. Goude 34 70 0 14 Sep 2020
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting Boris N. Oreshkin Dmitri Carpov Nicolas Chapados Yoshua Bengio AI4TS 117 1,063 0 24 May 2019
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling Shaojie Bai J. Zico Kolter V. Koltun DRL 97 4,832 0 04 Mar 2018