Maher B. Alghalayini

3 weeks ago | cell.com | Maher B. Alghalayini |Stephen Harris |Marcus M. Noack

Keywordsmachine learningenergy storageearly lifetime predictionfailure probability distributionGaussian processesexperimental stopping criteriondistribution entropydomain-informed machine learningIntroductionAs the need for energy increases at an accelerating rate, there has been a global adoption of additional energy sources, such as solar and wind.

2 months ago | cell.com | Daniel Collins-Wildman |Vincent Battaglia |Marcus M. Noack |Stephen Harris |Maher B. Alghalayini |Kenneth Higa | +1 more

Keywordsmachine learningBayesian optimizationGaussian processstochastic modelingparameter spaceefficient explorationuncertainty quantificationenergy storagebattery failure modelingcomplex cycling conditionsIntroductionIn response to the increasing energy demand, there has been a significant surge in the development of new energy storage technologies. Although solar and wind have great potential to increase energy supply, their intermittent nature hinders grid integration.