Abstract
Weather generators are frequently used to provide a realistic environment to model weather-sensitive construction operations. Although a parametric weather generation approach is commonly used to construct such generators, this approach is associated with drawbacks such as the assumption that weather variables are normally distributed. In this paper, a simplified weather generation approach, based on the bootstrap technique, is proposed. An experiment comparing both approaches is conducted. A three-stage model evaluation has been applied to outputs from both generators. The evaluation includes: (1) an evaluation of both generators' assumptions, (2) a comparison of both generators' outputs with historical records, and (3) an evaluation of imperfection effects associated with the generators' outputs when applied on weather-sensitive construction models. Results indicate that although both generators are reliable for generating daily synthetic weather series and in modelling construction operations, non-parametric weather generators demonstrate a better performance when modelling time-scale flexibility (hourly/daily) in construction operations.
Original language | English |
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Pages (from-to) | 108-126 |
Number of pages | 19 |
Journal | Automation in Construction |
Volume | 75 |
DOIs | |
Publication status | Published - Mar 1 2017 |
Externally published | Yes |
Keywords
- Construction operation
- Non-parametric
- Parametric
- Simulation
- Weather generator
ASJC Scopus subject areas
- Control and Systems Engineering
- Civil and Structural Engineering
- Building and Construction