MTMF-Grid:一种多任务的多模式融合模型,用于电网运营预测和决策支持
Dongyu Zhang1, Biao Shen1, Peng Li1
1State Grid Jiangsu Electric Power Co., Ltd., Nanjing China.
PloS one
|March 12, 2026
概括
本研究介绍了用于战略电网投资的多任务多模式融合模型 (MTMF-Grid). 它通过整合各种数据来增强操作预测和决策支持,优于现有方法.
科学领域:
- 电气工程 电气工程
- 数据科学数据科学数据科学
- 投资战略 投资战略
背景情况:
- 电网投资涉及复杂的,多目标的决策与异质的数据.
- 传统的单一任务或单一模式方法对于精确的战略投资决策是不够的.
研究的目的:
- 为战略性新兴电网投资提供运营预测和决策支持,提出一种新的多任务多模式融合模型 (MTMF-Grid).
- 为了利用运营数据代理来做出明智的投资决策,绕过直接的财务回报预测.
主要方法:
- 开发了一个模块化的MTMF-Grid架构.
- 实现了一个适应任务的变压器,以实现平衡的特征表达.
- 使用交叉融合门机制 (CFGM) 进行强大的多模式融合,处理丢失的数据.
- 采用基于损失差异的机制来进行动态任务重量调整和梯度冲突缓解.
主要成果:
- 与基线模型相比,MTMF-Grid在SEWA和OPSD数据集上表现出卓越的性能.
- 在每小时电价预测中实现了3.06%的平均绝对百分比误差 (MAPE).
- 达到了负载波动风险分类的0.915准确度.
结论:
- 拟议的MTMF-Grid为战略电网投资决策提供了一个全面的框架.
- 运营预测和多模式数据的有效整合增强了投资支持.
- 该模型的稳定性和适应性是该领域的关键贡献.
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