论文标题
可解释的多代理建议系统，用于智能家居中的节能决策支持
Explainable Multi-Agent Recommendation System for Energy-Efficient Decision Support in Smart Homes
论文作者
论文摘要
可以理解的有说服力的建议支持电力消费者的行为改变，以解决能源效率问题。可以解释为家用电器产生负载转移建议，从而提高了系统的透明度和可信赖性。本文提出了一个可解释的多代理推荐系统，用于用于家用电器的负载转换。首先，我们通过包括天气数据，应用最先进的模型并调整超参数来为代理提供增强的预测能力。其次，我们建议提供透明建议的解释性代理。我们还提供了预测性和解释性性能的概述。第三，我们讨论建议方法的影响和缩放潜力。
Understandable and persuasive recommendations support the electricity consumers' behavioral change to tackle the energy efficiency problem. Generating load shifting recommendations for household appliances as explainable increases the transparency and trustworthiness of the system. This paper proposes an explainable multi-agent recommendation system for load shifting for household appliances. First, we provide agents with enhanced predictive capacity by including weather data, applying state-of-the-art models, and tuning the hyperparameters. Second, we suggest an Explainability Agent providing transparent recommendations. We also provide an overview of the predictive and explainability performance. Third, we discuss the impact and scaling potential of the suggested approach.
