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. 2024 Apr 6;11(1):346.
doi: 10.1038/s41597-024-03184-5.

From home energy management systems to energy communities: methods and data

Antonio Ruano  1 , Maria da Graça Ruano  2
Affiliations

From home energy management systems to energy communities: methods and data

Antonio Ruano et al. Sci Data. .

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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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Floor plans of TH1. Top: 1st floor; bottom: ground floor.
Fig. 2
Fig. 2
Photovoltaic panels.
Fig. 3
Fig. 3
Photovoltaic panels.
Fig. 4
Fig. 4
Inverter.
Fig. 5
Fig. 5
Battery Box.
Fig. 6
Fig. 6
Weather Station.
Fig. 7
Fig. 7
Smart Plug.
Fig. 8
Fig. 8
Self-Powered Wireless Sensor.
Fig. 9
Fig. 9
Schneider panel.
Fig. 10
Fig. 10
Phase Factor of Wibeee 6, with its own time basis (one second).
Fig. 11
Fig. 11
Phase Factor of Wibeee 6, with the common time basis (five minutes).
See this image and copyright information in PMC

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