Machine Learning and Energy Forecasting
摘要
This chapter discusses the recent literature on machine learning in the study of oil price forecasting. We review a large set of recently published articles and summarize the relevant machine learning forecasting methods. We highlight the major ideas and six advanced machine learning techniques for oil price forecasting, and provide empirical applications of out-of-sample prediction. We conclude by offering some suggestions for future research.