Standards Research Data

This folder contains two csv files and one .py file. One csv file contains NIST ground PV plant data imported from https://pvdata.nist.gov/. This csv file has 902 days raw data consisting PV plant POA irradiance, ambient temperature, Inverter DC current, DC voltage, AC current and AC voltage. Second csv file contains user created data. The Python file imports two csv files. The Python program executes four proposed corrupt data detection methods to detect corrupt data in NIST ground PV plant data.

In controlled source electromagnetic (CSEM) modeling with well casings, it is common to assume that the current is flowing vertically in each casing, due to the large conductivity contrast between casings and their host media. This assumption makes the integration of the tensor Green's function relating the induced fields to source currents simple, since only the z-z component of the tensor needs to be considered. However, in practice, it can be improper to neglect the horizontal current effects in the casing without a close examination.

In the Dataset, Curriculum Vitae and Indivisual Contributions (Shunji Kawamoto) are shown.

A comparison of designs obtained by statistical and deterministic methods is being carried out. Points that are difficult to address in the statistical approaches are considered. A formulation of a regularized solution to experimental design is described in detail. The peculiarities of the optimal design for three types of regressions are revealed. The main factors that govern the estimation errors are determined.