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