Correction of load curves estimated by electrical appliances ownership surveys using mass memory meters
| Autor: | Rodrigo Flora Calili, Jose Aguinaldo Mendes Pinho, Jaques Musafir, Reinaldo Castro Souza |
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| Rok vydání: | 2017 |
| Předmět: |
Consumption (economics)
Calibration (statistics) 020209 energy Work (physics) Linear model 02 engineering and technology Audit General Energy Linear regression Statistics 0202 electrical engineering electronic engineering information engineering Economics Simulation Energy (signal processing) Efficient energy use |
| Zdroj: | Energy Efficiency. 11:261-272 |
| ISSN: | 1570-6478 1570-646X |
| DOI: | 10.1007/s12053-017-9562-z |
| Popis: | Through the PPHs (Energy Audit on Ownership and Usage of Electrical Appliances), one has a rough idea of the daily load shape curves by appliance. However, the curves obtained this way tend to be a little inaccurate, as they are generated by the consumer survey information of usage of the equipments, which tend to be imprecise information. Despite its inaccuracy, the energy audits (PPHs) are a simple and cheap way to understand equipment ownership and consumption habits of the residential consumers of such a large country as Brazil. In this work, it presented a statistical-based model that allows a better calibration of the load shape curve for appliances for residential consumers using information from two sources: PPHs and household measurements through specific devices that provide real-time measures of the total consumption. Two methodologies using linear regression were tested, one considering a two parameter linear model and another one considering only the slope parameter. It is shown that the latter produced better results. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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