In today’s globalized economic landscape, the assurance of economic stability is of paramount importance, necessitating precise financial decision-making and policy formulation. This assurance is significantly augmented by innovative approaches to predicting crude oil prices, particularly in the context of energy stock markets denominated in USD. This paper delves into the transformative effect of accurate crude oil price prediction on economic policy stability. It underscores the challenges and limitations posed by policy uncertainties and emphasizes the pivotal role of innovative solutions in mitigating these challenges. Moreover, it recognizes the imperative need for secure data storage to facilitate the application of machine learning in this domain. Furthermore, effective management and regulation of power grid systems are explored as indispensable strategies for tempering the volatility introduced by fluctuations in energy stock markets. As we work to address these gaps in knowledge, the potential for sustainable power systems to supersede fossil fuels emerges as a driving force behind the maintenance of stable economic policies.

在当今全球化经济格局中，保证经济稳定至关重要，需要精准的金融决策和政策制定。预测原油价格的创新方法大大增强了这种保证，特别是在以美元计价的能源股票市场的背景下。本文探讨了准确的原油价格预测对经济政策稳定性的变革性影响。它强调了政策不确定性带来的挑战和限制，并强调创新解决方案在缓解这些挑战方面的关键作用。此外，它认识到对安全数据存储的迫切需求，以促进机器学习在该领域的应用。此外，对电网系统的有效管理和监管被视为缓解能源股票市场波动所带来的波动的不可或缺的策略。当我们努力解决这些知识差距时，可持续电力系统取代化石燃料的潜力就成为维持稳定经济政策的驱动力。