Energy

Abstractــــ Wireless Sensor Networks (WSNs) typically have been consumed high energy in monitoring and radio communication trends. Furthermore, data diffusion modes in WSN typically generate errors such as noisy values, incorrect measurements or missing information, which minimize the standard of performance in such dynamic systems.

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  • Energy
  • Last Updated On: 
    Sun, 09/01/2019 - 06:38

    This folder contains two csv files and one .py file. One csv file contains NIST canopy PV plant data imported from https://pvdata.nist.gov/. This csv file has 1041 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 canopy PV plant data.

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  • Energy
  • Last Updated On: 
    Thu, 01/02/2020 - 09:35

    A 59-bus 10 kV rural distribution network in Jiangsu China

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  • Energy
  • Last Updated On: 
    Mon, 07/29/2019 - 08:35

    This dataset includes gathering 18-month raw PV data at time intervals of about 200 µs (5 kHz sampling). A post-processing 365-day day-by-day downsampled version, converted to 10 ms intervals (100 Hz sampling), is also included. The end results are two databases: 1. The original, raw, data, including both fast (short circuit, 200 µs) and slow (sweep, 2.5-3.9 s) information for 18 months. These show intervals of missing points, but are provided to allow potential users to reproduce any new work. 2.

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  • Energy
  • Last Updated On: 
    Tue, 07/02/2019 - 21:06

    The data through Figure 1~3 in the manuscript "Spatio-Temporal Correlation Analysis of Online Monitoring Data for Anomaly Detection and Location in Distribution Networks".

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  • Energy
  • Last Updated On: 
    Sat, 06/08/2019 - 06:01

    Accurate short-term load forecasting (STLF) plays an increasingly important role in reliable and economical power system operations. This dataset contains The University of Texas at Dallas (UTD) campus load data with 13 buildings, together with 20 weather and calendar features. The dataset spans from 01/01/2014 to 12/31/2015 with an hourly resolution. The dataset is beneficial to various research such as STLF.

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  • Energy
  • Last Updated On: 
    Tue, 06/04/2019 - 00:10

    This is the sensitivity matrix of the wind farm by using the "perturbation method"

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  • Energy
  • Last Updated On: 
    Thu, 05/16/2019 - 19:33

     

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  • Standards Research Data
  • Last Updated On: 
    Mon, 10/14/2019 - 05:29

    With a large number of all-controlled switching devices of converters in MMC-HVDC system and the frequency-dependent characteristics of line impedance in the electromagnetic transient model of HVDC transmission line, the real-time simulation platform calls for subtle time step and high calculation accuracy. The calculation parameters are prestored in advance so that they can be obtained by looking up tables in the calculation process, which reduces the computational load of simulation calculation of MMC-HVDC system.

    56 views
  • Energy
  • Last Updated On: 
    Sun, 04/07/2019 - 11:16

    The SWINSEG dataset contains 115 nighttime images of sky/cloud patches along with their corresponding binary ground truth maps The ground truth annotation was done in consultation with experts from Singapore Meteorological Services. All images were captured in Singapore using WAHRSIS, a calibrated ground-based whole sky imager, over a period of 12 months from January to December 2016. All image patches are 500x500 pixels in size, and were selected considering several factors such as time of the image capture, cloud coverage, and seasonal variations.

     

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  • Energy
  • Last Updated On: 
    Thu, 04/04/2019 - 10:06

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