2023 IEEE Energy Conversion Congress and Exposition (ECCE) 2023
DOI: 10.1109/ecce53617.2023.10362941
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Distributed Hierarchical Sensing and Analytics for Grid-Edge Behind the Meter Visibility and Grid Resilience

M. Madadi,
R. Beddingfield,
S. Bhattacharya
et al.
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“…Future work will target compensation for drift associated with the light source and LPG wavelength, followed by the implementation of matrixial approach [18] using the calibrated coefficients. Previously, we have demonstrated the utilization of low-cost sensors in distributed hierarchical sensing to enhance behind the meter (BTM) visibility with edge devices integrated with the grid [19]. One of the barriers to the deployment of portable sensing at grid edge is the lack of reliability of the low power energy storage device used as a power source to continuously supply stable voltage without frequent replacement.…”
Section: Li-ion Battery Thermal Monitoringmentioning
confidence: 99%
“…Future work will target compensation for drift associated with the light source and LPG wavelength, followed by the implementation of matrixial approach [18] using the calibrated coefficients. Previously, we have demonstrated the utilization of low-cost sensors in distributed hierarchical sensing to enhance behind the meter (BTM) visibility with edge devices integrated with the grid [19]. One of the barriers to the deployment of portable sensing at grid edge is the lack of reliability of the low power energy storage device used as a power source to continuously supply stable voltage without frequent replacement.…”
Section: Li-ion Battery Thermal Monitoringmentioning
confidence: 99%