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Greek-Electric-Load-Forecasting-IPTO

This repo contains the code for my postgraduate thesis dealing with Short-term Load Forecasting, predicting the electric load demand per hour in Greece, developed in R, RStudio, R-markdown and R-Shiny using daily load datasets provided by the Greek Independent Power Transmission Operator (I.P.T.O.) - (AΔΜHΕ in greek) http://www.admie.gr/nc/en/home/
The documentation of my thesis can be found at Aristotle's University repository of Theses: http://ikee.lib.auth.gr/record/294603/?ln=en, please excuse me for errors inside the documentation and if you find any, please inform me :)

libraries - Dependencies

    Data Preprocessing Libraries

  • xlsx package: install.packages('xlsx')
  • JSONLite: install.packages("jsonlite")
  • lubridate: install.packages('lubridate')
  • Tibble: install.packages("tibble")
  • Feature Selection, library: install.package("Boruta")
  • Machine Learning Libraries

  • SVM, library: install.package("e1071")
  • Random Forest, library: install.package("RandomForest")
  • Neural Network, library: install.package("RSNNS")
  • K' Nearest Neighbors, library: install.package("FNN")
  • Rule Based Models, library: install.package("Cubist")
  • xgboost models, library: install.package("xgboost")
  • Plots - Visualizations

  • ggplot2, library: install.package("ggplot2")
  • plotly, library: install.package("plotly")
  • Rmarkdown, library: install.package("Rmarkdown")
  • R-Shiny, library: install.package("shiny")
  • flexdashboard, library: install.package("flexdashboard")