Development of a model to identify combined use in residential water end use events
| Autor: | Adelmo M. de Aguiar, Gabriella Laura Peixoto Botelho, Karla P. Oliveira-Esquerre, Asher Kiperstok, Eduardo S. Soares |
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| Rok vydání: | 2018 |
| Předmět: |
Operations research
Computer science Event (computing) 020209 energy 0208 environmental biotechnology Combined use Aggregate (data warehouse) 02 engineering and technology Audit Natural resource 020801 environmental engineering Random forest Identification (information) 0202 electrical engineering electronic engineering information engineering Water use |
| DOI: | 10.1016/b978-0-444-64241-7.50320-7 |
| Popis: | The determination of water end use patterns by specific in-home equipment (appliance), the behaviour inherent to the users of the equipment, as well as the daily flow rate of water consumption, is important for the monitoring of water use, allowing the understanding of the system and the development of intelligent strategies for the management of this natural resource and its demand. Thus, the objective is to develop a model that identifies when an event is simple or combined (that is, simultaneous events, an event that includes several individual overlapping events), based on data obtained from low-income families in Brazil. An integrated approach was used combining water meters, home appliance audits and a self-reported household water use diary. Random Forest-based algorithms have been developed to aggregate flow tracking and to identify when an event is individual or combined. With the developed methods, it is easy to classify simple uses, but the combined uses still need more attention, being a future challenge the identification of its critical variables and improvement of classification. |
| Databáze: | OpenAIRE |
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