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The distributed generation, along with the deregulation of the Smart Grid, have created a great concern on Power Quality (PQ), as it has a direct impact on utilities and customers, as well as effects on the sinusoidal signal of the power line. The a priori unknown features of the distributed energy resources (DER) introduce non-linear behaviours in loads associated to a variety of PQ disturbances.

  • Power and Energy
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Olivia Florencias-Oliveros, M. J. Espinosa-Gavira, Juan-José González de la Rosa, A. Agüera-Pérez, José Carlos Palomares-Salas, J. M. Sierra-Fernández

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  • Computational Intelligence
  • Last Updated On: 
    Thu, 06/06/2019 - 17:25

    This dataset is for the figures and the plots within the figures in the submitted paper "A hybrid event detection approach for non-intrusive load monitoring."

  • Smart Grid
  • Last Updated On: 
    Thu, 05/09/2019 - 15:56

    The dataset contains measurements taken from four air handling units (AHU) installed in a medium-to-large size academic building. The building is a 7-story, 9000 sqm facility commissioned in 2016 hosting the PRECIS research center. It contains multiple research laboratories, multifunction spaces, meeting rooms, and a large auditorium as well as administrative offices. It is located at 44°2606.0N and 26°0244.0E in a temperate continental climate with hot summers and cold winters. Cooling is handled using on-site electric chillers while heating is provided from a district heating network.

  • Computational Intelligence
  • Last Updated On: 
    Fri, 03/15/2019 - 09:51

    Feature code is often scattered across a software system. Scattering is not necessarily bad if used with care, as witnessed by systems with highly scattered features that evolved successfully. Feature scattering, often realized with a pre-processor, circumvents limitations of programming languages and software architectures. Unfortunately, little is known about the principles governing scattering in large and long-living software systems.

  • Other
  • Last Updated On: 
    Wed, 12/12/2018 - 10:01

    Feature code is often scattered across a software system. Scattering is not necessarily bad if used with care, as witnessed by systems with highly scattered features that evolved successfully. Feature scattering, often realized with a pre-processor, circumvents limitations of programming languages and software architectures. Unfortunately, little is known about the principles governing scattering in large and long-living software systems.

  • Other
  • Last Updated On: 
    Wed, 12/12/2018 - 10:02

    The simplicity of deployment and perpetual operation of energy harvesting devices provides a compelling proposition for a new class of edge devices for the Internet of Things. In particular, Computational Radio Frequency Identification (CRFID) devices are an emerging class of battery-free, computational, sensing enhanced devices that harvest all of their energy for operation.

  • Computational Intelligence
  • Last Updated On: 
    Sun, 07/29/2018 - 04:10

    Our defect dataset, comes from PROMISErepository. This data refers to open-source Java systems such as ant, camel, ivy, jedit, log4j, lucene, poi, synapse, velocity and xerces. We selected these datasets since they have at least three consecutive releases (where release i was built before release i+1). This will allow us to build defect predictors based on the past data and then predict (test) defects on future version projects, which will be a more practical scenario.

  • Other
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Ruchika Malhotra, Arjun Rajpal, Dushyant Rathore

    Data and source code related to the IEEE TWC submission titled "STAR: STochastically-dominant Access point selection algoRithm".  The URL of Bitbucket repository hosting the source code is: https://YuBai@bitbucket.org/YuBai/cpn-realtime-ns3sourcecode.git.  

  • Other
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Y. Bai, M. C. Vuran, D. Batur, S. Goddard

    ## FEDERAL UNIVERSITY OF BAHIA (UFBA)
    ## ATYIMOLAB (www.atyimolab.ufba.br)
    ## University College London (UCL)
    ## Denaxas Lab (www.denaxaslab.org)
    ## Robespierre Pita and Clicia Pinto and Marcos Barreto and Spiros Denaxas
     
    /*
    @(#)File:           $atyimo_dataset_info.txt$
    @(#)Version:        $v1$
    @(#)Last changed:   $Date: 2017/12/04 12:00:00 $
    @(#)Purpose:        Example data sets for the AtyImo data linkage tool

  • Health
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Robespierre Pita, Clicia Pinto, Marcos Barreto, Spiros Denaxas

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