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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
From home energy management systems to energy communities: methods and data
Antonio Ruano1, Maria da Graça Ruano2
1IDMEC, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, and Faculty of Science & Technology, University of Algarve, Faro, Portugal. aruano@ualg.pt.
Abstract:
This paper introduces the HEMStoEC database, which contains data recorded in the course of two research projects, NILMforIHEM , and HEMS2IEA , for more than three years. To be manageable, the dataset is divided in months, from January 2020 until February 2023. It consists in: (a) consumption electric data for four houses in a neighbourhood situated in the south of Portugal, (b) weather data for that location, (c) photovoltaic and battery data, (d) inside climate data, and (e) operation of several electric devices in one of the four houses. Raw data, sampled at 1 sec and 1 minute are available from the different sensing devices, as well as synchronous data, with a common sampling interval of 5 minutes are available. Gaps existing within the data, as well as periods where interpolation was used, are available for each month of data.
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