.csv; .png; .py

Python program for Detecting abnormal Data in a PV plant Database - Validation Results from a 273kW NIST PV plant dataset

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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  • Machine Learning
    • Submitted On: 
    Fri, 10/04/2019 - 23:51
    Last Updated On: 
    Fri, 12/27/2019 - 12:52
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    Mobile Communication System Measurements and Satellite Images

    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.

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  • Computer Vision
    • Submitted On: 
    Thu, 08/15/2019 - 04:54
    Last Updated On: 
    Thu, 08/15/2019 - 04:59
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