.csv

This dataset details the state machine based experiments of PowerWatch.

  • Smart Grid
  • Last Updated On: 
    Mon, 06/17/2019 - 14:14

     Measurements collected from R1 for root cause analyses of the network service states defined from quality and service design perspectives

  • Communications
  • Last Updated On: 
    Tue, 06/11/2019 - 08:53

    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".

  • 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.

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

    In an aging population, the demand for nurse workers increases to care for elders. Helping nurse workers make their work more efficient, will help increase elders quality of life, as the nurses can focus their efforts on care activities instead of other activities such as documentation.
    Activity Recognition can be used for this goal. If we can recognize what activity a nurse is engaged in, we can partially automate documentation process to reduce time spent on this task, monitor care plan compliance to assure that all care activities have been done for each elder, among others.

  • Sensors
  • Wearable Sensing
  • Last Updated On: 
    Fri, 06/07/2019 - 01:23

    To obtain the prices of parts from the manufacturing characteristics and other manufacturing processes, feature quantity expression is innovatively applied. By identifying manufacturing features and calculating the feature quantities, the feature quantities are described in the form of assignments as data. To obtain the prices of parts intelligently, the most widely used and mature deep-learning method is adopted to realize the accurate quotation of parts

  • Computational Intelligence
  • Last Updated On: 
    Tue, 05/21/2019 - 21:42

    This dataset used in the experiment of paper "Bus Ridesharing Scheduling Problem". This is a real-world bus ridesharing scheduling problem of Chengdu city in China, which includes 10 depots, 2,000 trips.

  • Transportation
  • Last Updated On: 
    Wed, 05/08/2019 - 09:20

    This is the dataset used in the experiment of paper "Bus Pooling: A Large-Scale Bus Ridesharing Service". The dataset contains 60,822,634 trajectory data from 11,922 Shanghai taxis from one day (Apr 1, 2018). The 100 groups of coordinate sets containing three coordinates as experimental samples are used to compare the effectiveness and efficiency of location-allocation algorithms.

  • Transportation
  • Last Updated On: 
    Thu, 05/30/2019 - 07:46

    This dataset refers to the case study performed in the paper "A Real Options Market-Based Approach to Increase Penetration of Renewables", submitted to IEEE Transactions on Smart Grid. The file contains the Midcontinent ISO data used for the day-ahead prices, as well as the wind data from NREL's Wind Integration National Dataset Toolkit which was used to estimate the renewable productions in the case study.

  • Power and Energy
  • Last Updated On: 
    Mon, 04/08/2019 - 21:19

    A new dataset named Sanitation is released to evaluate the HAR algorithm’s performance and benefit the researchers in this field, which collects seven types of daily work activity data from sanitation workers.We provide two .csv files, one is the raw dataset “sanitation.csv”, the other is the pre-processed features dataset which is suitable for machine learning based human activity recognition methods.

  • Computational Intelligence
  • Last Updated On: 
    Mon, 04/01/2019 - 09:52

    Pages