Energy

Matlab Simulink was used to develop an emulator for the Viessmann Vitorond 200 Gas Fired Boiler VD2 Series 380 and a series of faults were modeled along with normal data across the expected range of operation to create a labelled dataset with approximately 27,500 cases for training and testing boiler fault classification models. 

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  • Energy
  • Last Updated On: 
    Sat, 03/30/2019 - 15:08

    An emulator for the Viessmann Vitorond 200 Gas Fired Boiler VD2 Series 380 dataset was created in Matlab/Simulink based on the Simscape boiler model.

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  • Energy
  • Last Updated On: 
    Sat, 03/30/2019 - 14:58

    image files and origin files for manuscript entitled "Effect of Solid Particles on the Loss Circulation of Drilling Fluid: A Numerical Simulation"

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  • Energy
  • Last Updated On: 
    Thu, 01/03/2019 - 21:48

    DECA is widely used as a protocol to describe the fuel economy and battery load of vehicles. Meanwhile, Carsim is universally accepted as a reliable tool to analyze vehicle dynamics. Therefore, it is of great importance to simulate the DECA with Carsim and provide a proper way to measure the virtual fuel economy of vehicles. It may also contribute to explement related experiments. 

    155 views
  • Transportation
  • Last Updated On: 
    Wed, 12/12/2018 - 10:04

    This dataset could be used to reproduce the results of the AVM model proposed in the paper "Unified Modeling and Analysis of the Dual-Control High-Speed Response Brushless Excitation System of Synchronous Generators".

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  • Energy
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    An effective use of electrochemical Energy Storage Systems (ESSs) is mandatory for improving the performances of next generation electric vehicles and hybrid electric vehicles, as well as of smart grid and microgrid systems.In particular, Battery Management Systems (BMSs) are useful devices aiming at monitoring, managing, and controlling the battery pack. One of the main task of any BMS is performing State of Charge estimation of the cells composing the ESS.

    1342 views
  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    With the advent of huge data availability and cheap processing power to derive insights from data ,applications of Big Data and Machine Learning are gaining popularity in every industry. Now, Predicting about future is no more an alternate but a necessity to increase efficiency with accurate output. Forecasting for a shorter duration (Nowcasting) fits perfectly in this space to estimate the final production for better planning and control.

    207 views
  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    This paper describes a set of 300 pseudo-random task graphs which can be used for evaluating Mobile Cloud, Fog and Edge computing systems. The pseudo-random task graphs are based upon graphs that have previously appeared in IEEE papers. The graphs are described in Matlab code, which is easy to read, edit and execute. Each task has an amount of computational work to perform, expressed in Mega-cycles per second. Each edge has an amount of data to transfer between tasks, expressed in Kilobits or Kilobytes of data.

    211 views
  • Communications
  • Last Updated On: 
    Mon, 08/06/2018 - 16:22

    Research on Optimizing the Integration of Renewable Energy Sources into the Electrical Power Systems

    In this project one model the photovoltaic and wind power sources in order to analyze how to optimally integrate them in the electrical power systems. Integration requirements like transient regimes associated with fault occurrence, identification of the electrical power systems responsible for disturbances, and optimization of the integration are focus points of the research.

    441 views
  • Energy
  • Last Updated On: 
    Sat, 06/16/2018 - 22:50

     

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  • Energy
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

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