Fuhrländer FL2500 2.5MW wind turbine dataset.

The datasetThis is a Fuhrländer FL2500 2.5MW wind turbine dataset.FormatThe dataset is stored in JSON format inside the "dataset" folder. It contains five wind turbines (80,81,82,83,84), each one with three years of data with a time interval from 2012 to 2014. The data frequency is 5 minutes reporting four indicators of each 78 sensors (a total of 312 variables). The reported values for each sensor are minimum, maximum, mean, and standard deviation for each 5-minute interval. The dataset also contains the alarms events, indicating the system and subsystem and a small description.FunctionsI have included several functions for {R,MATLAB,...} languages to providing an interface that pre-processes and manipulates the RAW data into a table-like format. The table-like format is composed of the variables at the columns and each five-minute data entry in rows.AlgorithmsIn the case of matlab code, I have included a ELM (extreme learning machines) classificator model to make some predictions as an example. The ELM model is provided by ‪Pere Marti-PuigFAQERRORSJava exception occurred: java.lang.OutOfMemoryError: Java heap spacePlease increase the matlab java heap memory to more than 4GB following the next instructions: https://es.mathworks.com/help/matlab/matlab_external/java-heap-memory-preferences.html