PADD5 EIA Forecasting Using Machine Learning Techniques

对最优交易决策的支持对汽油、喷气和柴油产品市场至关重要。利用库存水平的信息可以帮助客户在市场之前优化他们的交易决策。Navarik是一家总部位于温哥华的软件公司，专门从事石油和天然气行业，并开发了Navarik检查平台，以提高贸易结算操作的速度和效率。这项研究是与Navarik合作，在Navarik检查平台上创建预测能力，帮助Navarik扩大其贸易结算业务。目标是在EIA(能源信息管理局)结果发布之前预测PADD5(防御区第5区石油管理局)的库存水平。这项研究将利用Navarik数据、公共数据和第三方数据来开发用于库存水平预测的机器学习模型。预测算法将在Microsoft Azure平台上实现，并整合到Navarik检验平台，服务于其石油和天然气贸易市场的客户和客户。

The support for optimal trading decision making is critical for the gasoline, jet and diesel product market. Theuse of information from "stock levels" can help customers optimize their trading decisions before the market.Navarik, a Vancouver-based software company, is specialized in the oil and gas industry and has developed aNavarik Inspection platform to increase the speed and efficiency of trade settlement operations.In collaboration with Navarik, this research is to create the forecasting capabilities on the Navarik Inspectionplatform and help Navarik to expand its business in trade settlement. The objective is to forecast stock levels inthe PADD5 (Petroleum Administration for Defense Districts region 5) before the EIA (Energy InformationAdministration) results are released. This research will develop the machine learning models by using theNavarik data, public data, and 3rd party data for stock level forecasting. The forecasting algorithms will beimplemented on Microsoft Azure platform and incorporated into Navarik Inspection platform to serve itscustomers and clients in the oil and gas trade market.