Bachelor Thesis Degree of Master of Science in Computer Science and Engineering, 300 credits Dataset characteristics effect on time series forecasting: comparison of statistical and deep learning models

The study applied four models, two of each method, on datasets of varying characteristics and measured their prediction accuracy and computing time, concluding that the deep learning models generally produced a more accurate prediction but required more processing power and computing time.