Residential Power Traces for Five Houses: The iHomeLab RAPT Dataset

Datasets with measurements of both solar electricity production and domestic electricity consumption separated into the major loads are interesting for research focussing on (i) local optimization of solar energy consumption and (ii) non-intrusive load monitoring. To this end, we publish the iHomeLa...

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Bibliographic Details
Main Authors: Patrick Huber, Melvin Ott, Martin Friedli, Andreas Rumsch, Andrew Paice
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Data
Subjects:
Online Access:https://www.mdpi.com/2306-5729/5/1/17
Description
Summary:Datasets with measurements of both solar electricity production and domestic electricity consumption separated into the major loads are interesting for research focussing on (i) local optimization of solar energy consumption and (ii) non-intrusive load monitoring. To this end, we publish the iHomeLab RAPT dataset consisting of electrical power traces from five houses in the greater Lucerne region in Switzerland spanning a period from 1.5 up to 3.5 years with a sampling frequency of five minutes. For each house, the electrical energy consumption of the aggregated household and specific appliances such as dishwasher, washing machine, tumble dryer, hot water boiler, or heating pump were metered. Additionally, the data includes electric production data from PV panels for all five houses, and battery power flow measurement data from two houses. Thermal metadata is also provided for the three houses with a heating pump.
ISSN:2306-5729