MULTI-SOURCE MODEL OF HETEROGENEOUS DATA ANALYSIS FOR OIL PRICE FORECASTING

This article sheds light on the question of whether it is possible to create fairly accurate forecasts real oil prices. For this purpose, a multi-level machine learning model has been created analyze several sources heterogeneous data predict future The uses different types data: market condition data, titles, and transaction data. Then, they have processed be able load them into model. validation regression neural network results showed that more than in previous studies. In fact, paper presents an artificial solves problem determining most informative relationship between price Keywords: network, forecasting, learning, prediction, energy resources.JEL Classifications: C45, C51, Q43, Q47DOI: https://doi.org/10.32479/ijeep.10853