REEDD-CR: Residential electricity end-use demand dataset from Costa Rican households

• Published in: Data in brief 2023-02, Vol.46, p.108829-108829, Article 108829
• Main Authors: Angulo-Paniagua, Jam, Victor-Gallardo, Luis, Alfaro-Corrales, Ignacio, Quirós-Tortós, Jairo
• Format: Article
• Language: English
• Subjects: Data; Electricity demand; End-use; Monitoring; Residential
• ISSN: 2352-3409; 2352-3409
• DOI: 10.1016/j.dib.2022.108829

End-use demand data availability is a catalyst for improving energy efficiency measures and upgrading electricity demand studies. Nevertheless, residential end-use public datasets are limited, and end-use monitoring is costly. The lack of electricity end-use data is even more profound in Latin America, where there are no public end-use datasets as far as the authors are concerned. Hence, we present the Residential Electricity End-use Demand Dataset of Costa Rica (REEDD-CR), containing the results of monitoring 51 Costa Rican households. The data set includes the aggregated and branch circuit measurements for every home with a sample time of 1 min for at least an entire week. The measurements were distributed all around the country. In addition, based on these sub-measurements, REEDD-CR includes a dataset of 197 load signatures composed of seven consumption and demand features for eight high-consuming appliances: refrigerator, stove, dryer, lighting, water heating, air conditioning, microwave, and washing machine. The features included on each load signature are average power, peak power, average daily events, average daily energy, day-use factor, night-use factor, and time of use. The single-appliance measurements used to calculate these load signatures are also part of the dataset. The release of REEDD-CR can serve as a tool for appliance modeling, demand disaggregation testing, feedback for energy demand models, and the overall upgrade of electricity supply and demand simulation studies with realistic and disaggregated data.