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This is the repository for the code, datasets, etc. created for my MSc dissertation on electricity price forecasting using time series methods and various statistical learning algorithms found in the current academic literature on electricity price forecasting, including random forests, AR, VAR, RNNs (LSTMs and GRUs), ANNs, and the more novel X-Model (Ziel and Steinert - https://www.sciencedirect.com/science/article/pii/S0140988316302080).

Python 5.42% Jupyter Notebook 94.58%

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