Thermal drift is a significant problem in measurement technologies that leads to nonlinear behavior in sensors

and other measurement technologies. This research paper investigates the thermal drift problem and their remedial

measures in a current sensor implemented in distribution systems and industries. The conventional corrective actions

involve signal conditioning circuits, which are influenced by ambient temperature change. In the proposed method,

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[1] SOUMYARANJAN RANASINGH, "Python supplymentary files", IEEE Dataport, 2021. [Online]. Available: http://dx.doi.org/10.21227/0ada-9561. Accessed: Dec. 02, 2021.
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SOUMYARANJAN RANASINGH. (2021). Python supplymentary files. IEEE Dataport. http://dx.doi.org/10.21227/0ada-9561
SOUMYARANJAN RANASINGH, 2021. Python supplymentary files. Available at: http://dx.doi.org/10.21227/0ada-9561.
SOUMYARANJAN RANASINGH. (2021). "Python supplymentary files." Web.
1. SOUMYARANJAN RANASINGH. Python supplymentary files [Internet]. IEEE Dataport; 2021. Available from : http://dx.doi.org/10.21227/0ada-9561
SOUMYARANJAN RANASINGH. "Python supplymentary files." doi: 10.21227/0ada-9561