The simulation of human behavior is an essential component in the domain of energy demand modeling. However, due to its diverse nature, it is often unclear whether a simulated behavior pattern is fitting to certain contexts. Combined with the poor availability of appropriate activity data, this makes proper validation of behavior models difficult. Existing validation approaches are limited and specialized to the respective use case, and are therefore not reusable or comparable. To address this issue, the new open-source framework ETHOS.ActivityAssure is presented for evaluation of generated activity profiles, supporting the validation of behavior models. For this purpose, an aggregated activity dataset is created from restricted European time use data and published to ensure reusability. Validation is conducted through a set of indicators and comparative plots, taking into account activity duration, frequency, and time. A categorization of person types and activities enables mapping to result categories commonly used in behavior models. The framework's capabilities are demonstrated on the residential demand model LoadProfileGenerator. The developed framework allows for consistent and reproducible validation of synthetic activity profiles targeting Europe, without requiring access to confidential data. This offers the opportunity to enhance both new and existing behavior models by identifying flaws, compare multiple modeling approaches, and thoroughly evaluate model quality for diverse target purposes.

中文翻译：

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精神。ActivityAssure — 用于合成欧洲活动概况的开源验证框架


人类行为仿真是能源需求建模领域的重要组成部分。然而，由于其多样性，通常不清楚模拟的行为模式是否适合某些环境。再加上适当的活动数据可用性不佳，这使得正确验证行为模型变得困难。现有的验证方法受到限制，并且专门用于各自的用例，因此不可重用或具有可比性。为了解决这个问题，新的开源框架 ETHOS.ActivityAssure 用于评估生成的活动配置文件，支持行为模型的验证。为此，根据受限制的欧洲时间使用数据创建聚合活动数据集并发布以确保可重用性。验证是通过一组指标和比较图进行的，同时考虑到活动持续时间、频率和时间。人员类型和活动的分类允许映射到行为模型中常用的结果类别。该框架的功能在住宅需求模型 LoadProfileGenerator 上进行了演示。开发的框架允许对针对欧洲的合成活性谱进行一致且可重复的验证，而无需访问机密数据。这为通过识别缺陷、比较多种建模方法以及针对不同目标目的全面评估模型质量来增强新的和现有的行为模型提供了机会。