人工智能,清洁能源和市场整合:来自多周期量子力学动态的证据
1Dokuz Eylül University, İzmir, Turkey.
Journal of environmental management
|December 13, 2025
概括
人工智能 (AI) 对清洁能源市场产生积极影响,其影响因市场条件和时间框架而异. 这项研究为导航AI的投资者和政策制定者提供了洞察力.
科学领域:
- 金融经济学 金融经济学
- 能源市场 能源市场
- 技术影响分析 技术影响分析
背景情况:
- 人工智能 (AI) 和大数据技术的整合正在迅速改变各种行业,包括快速增长的清洁能源市场.
- 了解人工智能/大数据指数和清洁能源指数之间的动态相互作用对投资者和政策制定者至关重要.
- 现有的研究往往忽略了这些市场之间的细微,时间变化和量子依赖关系.
研究的目的:
- 调查Indxx人工智能和大数据指数 (IAIQ) 和几个清洁能源市场指数之间的动态和不对称关系.
- 分析人工智能技术在不同时间和市场条件的清洁能源市场的影响.
- 使用先进的计量经济学方法,识别AI/大数据和清洁能源市场之间的因果关系.
主要方法:
- 利用滚动窗口量子增强的迪克-富勒单位根测试来评估时间序列的静止性.
- 应用波形量子对量子回归来捕捉非线性和不对称的关系.
- 雇佣波形量子对量子格兰杰因果关系回归以确定因果关系.
主要成果:
- 人工智能技术对清洁能源市场产生了积极,强大和统计学上显著的影响.
- 人工智能对清洁能源市场的影响不均,在不同的时间视界和量子分布中存在显著差异.
- 确定了因果关系,表明人工智能的进步可以影响清洁能源市场的动态.
结论:
- 人工智能技术对清洁能源市场产生了实质性的积极影响,尽管这种关系是复杂和有条件的.
- 这些发现为清洁能源领域的战略投资决策和政策制定提供了宝贵的见解.
- 本研究有助于在技术创新的背景下对金融市场相互依存的理论理解.
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