Automated Machine Learning pipelines. Builds the Open Short Term Energy Forecasting package.

A curated list of awesome energy forecasting resources such as, code libraries, datasets, courses, tutorials, research papers, competitions and communities.

This study considers the prediction and forecasting of solar and wind power generation on a country-wide basis for the Greek energy grid.

Comparison of LSTM models and FCNN on Energy forecasting project using ASHRAE's data base for the Great Energy Predictor III competition on Kaggle.

Overview of how the market operates and EDA of some of the variables in it

This is a time-series forecast project I did with Max Wang during the Summer 2022 to benchmark Facebook AI's Neuroprophet along other forecasting techniques.

Energy Consumption Forecating using Stack LSTM, hosted online with Binder

Kernel quantile regression

Hybrid Renewable Energy Forecasting and Trading Competition: Team Skro