This repository contains the code for

Howard, Amanda, Yucheng Fu, and Panos Stinis. "A multifidelity approach to continual learning for physical systems." arXiv preprint arXiv:2304.03894 (2023).

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                under Contract DE-AC05-76RL01830

The data for Section 4.2 is from

Wang, Z., Hong, T., Li, H. and Piette, M.A., 2021. Predicting City-Scale Daily Electricity Consumption Using Data-Driven Models. Advances in Applied Energy, p.100025. https://doi.org/10.1016/j.adapen.2021.100025 Zhe Wang or Tianzhen Hong

Access to original data: https://github.com/LBNL-ETA/City-Scale-Electricity-Use-Prediction

@article{wang2021predicting, title={Predicting City-Scale Daily Electricity Consumption Using Data-Driven Models}, author={Wang, Zhe and Hong, Tianzhen and Li, Han and Piette, Mary Ann}, journal={Advances in Applied Energy}, pages={100025}, year={2021}, publisher={Elsevier} }

The MAS implementation is adapted from https://github.com/ariseff/overcoming-catastrophic

@misc{ariseff, author = {Seff, Ari}, title = {overcoming-catastrophic}, year = {2020}, publisher = {GitHub}, journal = {GitHub repository}, howpublished = {\url{https://github.com/ariseff/overcoming-catastrophic}}, commit = {cab6d86} }

The Jax neural network implementation is adapted from https://github.com/PredictiveIntelligenceLab/ImprovedDeepONets

@misc{sifanw094, author = {Wang, Sifan}, title = {ImprovedDeepONets}, year = {2022}, publisher = {GitHub}, journal = {GitHub repository}, howpublished = {\url{https://github.com/PredictiveIntelligenceLab/ImprovedDeepONets }}, commit = {f948cf3} }

@article{howard2023multifidelity, title={A multifidelity approach to continual learning for physical systems}, author={Howard, Amanda and Fu, Yucheng and Stinis, Panos}, journal={arXiv preprint arXiv:2304.03894}, year={2023} }