Battery Materials Discovery and Smart Grid Management using Machine Learning
Andrew Jun Yao Wong, Xin Zhou, Yanwei Lum et al.
2022 · Batteries & Supercaps · 8 citations
Abstract The transition from fossil fuels to renewable energy represents a grand challenge for humankind. For this vision to come to pass, significant advances in energy storage technologies such as batteries, which solve the intermittency of renewable energy, need to be achieved. Developing new battery materials with higher capacities and longer lifetimes is thus of paramount importance. Moreover, the intermittency of renewable energy presents a significant challenge to smart grid management. To this end, researchers have begun turning to machine learning (ML) techniques: algorithms that lea…
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