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

A PyTorch-based, end-to-end energy time-series forecasting demo with LSTM/GRU models, strong seasonal baselines, residual learning, and a CLI for reproducible train/eval runs on OPSD (with run logging + notebooks).

Forecasting System for Continual Learning Scenarios based on Hoeffding Trees With Change Point Detection Mechanism

Multi-User-Personality-Electricity-Load-Forecasting

An educational application to predict the grid balance in Alberta. Capstone project for my Machine Learning and AI Bootcamp.

Machine learning model for forecasting short-term electricity demand in the UK.

The Northern Benghazi Electrical Load & Weather Dataset combines historical electricity consumption records with meteorological data for Benghazi, Libya.

Electricity Load Forecasting

📈 Generate accurate demand forecasts with Python using synthetic data, featuring ARIMA/SARIMA modeling, evaluation metrics, and reproducible visualizations.