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Renewable energy management using explainable artificial intelligence
DOI:10.3389/fenrg.2026.1753200.png)
摘要
En 中文
可再生能源(RES)管理中的可解释人工智能:研究综述
Keyword:
systematic review
explainable AI
XAI
renewable energy
human-centred
期刊
IF:
2.4
论文数:
971
被引数:
1.4W
机构
引用论文
Evaluating the Quality of Machine Learning Explanations: A Survey on Methods and Metrics评估机器学习解释的质量: 方法和度量的调查
Electronics
IF0
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Interpretation of ensemble learning to predict water quality using explainable artificial intelligence使用可解释的人工智能对集成学习进行预测以预测水质
An explainable integrated machine learning model for mapping soil erosion by wind and water in a catchment with three desiccated lakes
AEOLIAN RESEARCH
IF3.4
Modeling hydro, nuclear, and renewable electricity generation in India: An atom search optimization-based EEMD-DBSCAN framework and explainable AI对印度的水电,核能和可再生能源发电进行建模: 基于原子搜索优化的eemd-dbscan框架和可解释的AI
HELIYON
IF3.6
Deep Learning model and Classification Explainability of Renewable energy-driven Membrane Desalination System using Evaporative Cooler基于蒸发冷却器的可再生能源驱动膜脱盐系统的深度学习模型及分类可解释性
On the use of kolmogorov–arnold networks for adapting wind numerical weather forecasts with explainability and interpretability: application to madeira international airport关于使用Kolmogorov–Arnold网络调整风数值天气预报并具备可解释性与可理解性的应用:以马德拉国际机场为例

