Hourly Consumption by Postal Code (2696 to 2820)

This DataSet is built based on load diagrams collected by smart meters. In cases where there are still no meters capable of carrying out these collections, or there is difficulty in communicating with them, a profile of consumption is carried out.Consult here the document that systematizes the estimation methodology of the different profiles. (https://www.e-redes.pt/sites/eredes/files/2021-08/DocMetodologico_Perfis.pdf)Due to the high volume of data, this dataset presents information regarding a period of thirty days, in a sliding window model, with no history conservation. For a longer temporal analysis, regular data extractions are recommended.In accordance with the General Data Protection Regulation (GDPR), it is necessary to aggregate postal codes, which are not available individually, into the "OUTROS" set.1. The information made available by E-REDES constitutes an approximation to the values ​​taken from the system and is based on the moment in which it is collected. Given that the connection points, the electricity distribution network, and the consumption and production values ​​themselves are naturally very dynamic, it is safeguarded that the information made available may be subject to subsequent changes and updates, with the exception of any omissions and/or occasional inaccuracies of location that the information may contain.2. In this way, E-REDES is not liable to third parties, namely, partners, service providers, contractors, users and customers, for damages that may arise as a result, direct or indirect, of the use of this Information, in particular when carrying out interventions, calculations and/or estimates, without confirming the accuracy and updating of the data, whereby it is duly noted that the consultation of this information does not affect the duty to promote a direct consultation with E-REDES to obtain updated information.

本数据集基于智能电表采集的负荷图谱构建。对于暂不具备此类数据采集能力，或与电表通信存在困难的场景，则通过构建消费画像的方式获取数据。可查阅下述文档以了解不同消费画像的系统化估算方法论：(https://www.e-redes.pt/sites/eredes/files/2021-08/DocMetodologico_Perfis.pdf)。鉴于数据体量庞大，本数据集仅提供滑动窗口模式下30天周期的信息，且不保留历史数据。如需开展更长周期的时序分析，建议定期提取数据。根据《通用数据保护条例（General Data Protection Regulation，GDPR）》要求，需将无法单独获取的邮政编码聚合至"OUTROS"集合中。1. E-REDES 提供的信息仅为系统采集值的近似结果，以采集时刻的状态为基准。由于电力连接节点、配电网以及消费与生产值本身均处于自然动态变化中，故本数据集所提供的信息可能存在后续变更与更新，信息可能存在的遗漏及/或偶发位置偏差除外。2. 据此，E-REDES 不对任何第三方（包括合作伙伴、服务提供商、承包商、用户及客户）因使用本信息所引发的直接或间接损害承担责任，尤其当使用者未确认数据准确性与更新状态即开展干预、计算及/或估算时。特此说明：查阅本信息并不免除使用者直接向E-REDES咨询以获取更新后信息的义务。