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.

翻译：可理解和有说服力的建议支持电力消费者为解决能源效率问题而进行的行为改变。为家用电器提出可解释的负载转换建议,可提高系统透明度和可信赖性。本文件为家用电器的负载转移提出一个可解释的多试剂建议系统。首先,我们通过纳入天气数据、应用最先进的模型和调整超参数,为代理商提供更强的预测能力。第二,我们建议一个可解释性代理,提供透明的建议。我们还提供了预测和可解释性绩效概览。第三,我们讨论了建议的方法的影响和规模潜力。