This file contains Python code to extract the single-diode model parameters from the Photovoltaic IV-curve. 

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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.

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Drive testing is a common practice by mobile operators to evaluate the performance and coverage of their deployed mobile communication systems. Drive testing is, however, a very expensive practice. Furthermore, due to the complexity of future 5G mobile networks, accurate and efficient ways of optimizing and evaluating coverage are needed. The dataset contains measurements from a deployed LTE-A mobile communication system and corresponding satellite images.

Instructions: 

The feature matrix

feature_matrix.csv

 

Contains the following features:

  • Longitude
  • Latitude
  • Speed (in km/h)
  • Distance (in km)
  • Distance_x
  • Distance_y
  • PCI (Integer)
  • PCI_64 (811 MHz base station) (one-hot encoding)
  • PCI_65 (811 MHz base station) (one-hot encoding)
  • PCI_302 (2630 MHz base station) (one-hot encoding)

 

The output matrix

output_matrix.csv

  • SINR (dB)
  • RSRP (dBm)
  • RSRQ (dB)
  • Power/RSSI (dBm)

 

Each row corresponds to an image in mapbox_api/*.png

 

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