Electricity demand forecasting for Austin, TX, using a combination of timeseries methods and regression models
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.). A presentation of the thesis' results can be f…
Multi-User-Personality-Electricity-Load-Forecasting
Forecasting System for Continual Learning Scenarios based on Hoeffding Trees With Change Point Detection Mechanism
Multi-User-Personality-Electricity-Load-Forecasting
Machine learning model for forecasting short-term electricity demand in the UK.
Electricity Load Forecasting
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