Electra announces a major milestone with the successful validation of its EVE‑Ai™ Adaptive Controls platform, enabling ...
Morning Overview on MSN
Machine learning is turbocharging cheap lithium-ion battery design
Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...
STRATA Mission Control Platform Adds Capabilities for Grid Resilience and Distributed Asset Management In AI Data ...
AZoSensors on MSN
Low-power sensor node brings machine learning to the edge of environmental monitoring
A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time environmental monitoring while optimizing energy efficiency.
Chao Hu is at the School of Mechanical, Aerospace, and Manufacturing Engineering, University of Connecticut, Storrs, Connecticut 06269, USA. The second category, data-driven lifetime prediction, uses ...
Machine learning has rapidly become integral to the advancement of geoscience, a field inundated with complex and multivariate data from myriad sources such ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
With the rapid development of electric vehicles and energy storage systems (ESSs), accurate state-of-health (SOH) estimation for lithium-ion batteries has become crucial for ensuring safety and ...
The PSOC 4 HVPA-SPM 1.0 microcontroller is designed for use in high-voltage Li-ion battery-management systems for electric vehicles (xEVs). The MCU, developed by Infineon Technologies, combines ...
pv magazine: There has always been an association of BESS with solar. It is the combination with batteries that basically enables solar to be a dispatchable resource. Otherwise, it’s not. Otherwise, ...
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