Power and Energy

Dataset consists of various open GIS data from the Netherlands as Population Cores, Neighbhourhoods, Land Use, Neighbourhoods, Energy Atlas, OpenStreetMaps, openchargemap and charging stations. The data was transformed for buffers with 350m around each charging stations. The response variable is binary popularity of a charging pool.

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  • Machine Learning
  • Last Updated On: 
    Thu, 10/31/2019 - 07:05

    This simulation model is a transmitting system for electromagnetic sounding based on tri-state boost converter.

    63 views
  • Power and Energy
  • Last Updated On: 
    Tue, 10/22/2019 - 08:57

    Please see the files.

    68 views
  • Power and Energy
  • Last Updated On: 
    Sun, 10/20/2019 - 05:23

    Please see the document.

    48 views
  • Power and Energy
  • Last Updated On: 
    Thu, 10/17/2019 - 08:40

    yes

    43 views
  • Power and Energy
  • Last Updated On: 
    Thu, 10/17/2019 - 08:32

    Smart Grids (SG) are a novel paradigm introduced for optimizing the management of the power generation, transmission, distribution and consumption. A SG system can efficiently work only if all the components are connected through a communication network able to satisfy the SG applications requirements. Wireless communications are the most appropriate candidates for handling SG requirements due to their flexibility.

    44 views
  • Communications
  • Last Updated On: 
    Wed, 10/16/2019 - 19:47

    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.

    641 views
  • Machine Learning
  • Last Updated On: 
    Fri, 12/27/2019 - 12:52

    This dataset is related to the paper “Quantification of feature importance in automatic classification of power quality distortions” (IEEE International Conference on Harmonics and Quality of Power, March 2020). It includes the features extracted from synthetic signals with power quality distortions obtained from a public model (doi: 10.1109/ICHQP.2018.8378902).

    96 views
  • Power and Energy
  • Last Updated On: 
    Tue, 10/01/2019 - 07:44

    A computational efficient battery pack model with thermal consideration is essential for simulation before real-time embedded implementation. The proposed temperature-dependent battery model (LiFePO4 battery cell, ANR26650M1-B from A123 Systems) will increase the lifespan of the battery. The simulation outputs are validated by a set of independent experimental data at a different ambient temperature using the dataset collected at 5 °C, 15 °C, 25 °C, 35 °C and 45 °C.

    162 views
  • Energy
  • Last Updated On: 
    Wed, 10/30/2019 - 09:50

    Microbial fuel cells (MFC) are one of the best sources of renewable energy but the power density achieved till now is not enough for present as well as future application purpose. Recent research gives us hope that a high amount of power density can be achieved by doing various modifications at different functional levels on the paper based MFC.

    80 views
  • Energy
  • Last Updated On: 
    Mon, 09/16/2019 - 18:23

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