Abstract The consumption data from smart meters and complex questionnaires reveals the electricity consumers’ willingness to adapt their lifestyle to reduce or change their behaviour in electricity usage to flatten the peak in electricity consumption and release the stress in the power grid. Thus, the electricity consumption can support the enforcement of tariff and demand response strategies. Although the plethora of complex, unstructured and heterogeneous data is collected from various devices connected to the Internet, smart meters, plugs, sensors and complex questionnaires, there is an undoubted challenge to handle the data flow that does not provide much information as it remains unprocessed. Therefore, in this paper, we propose an innovative methodology that organizes and extracts valuable information from the increasing volume of data, such as data about the electricity consumption measured and recorded at 30 min intervals, as well as data collected from complex questionnaires.

中文翻译：

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通过电力消费者行为的大数据分析洞察需求侧管理

摘要 智能电表的用电数据和复杂的问卷调查揭示了用电者通过改变生活方式来减少或改变用电行为，以压平用电高峰，缓解电网压力的意愿。因此，电力消耗可以支持关税和需求响应策略的实施。尽管从连接到互联网的各种设备、智能电表、插头、传感器和复杂的问卷中收集了大量复杂、非结构化和异构的数据，但处理未提供太多信息的数据流无疑是一个挑战，因为它仍然未经处理. 因此，在本文中，我们提出了一种创新方法，可以从不断增加的数据量中组织和提取有价值的信息，