TY - JOUR
T1 - Non-parametric weather generator for modelling construction operations
T2 - Comparison with the parametric approach and evaluation of construction-based impacts
AU - Al-alawi, Mubarak
AU - Bouferguene, Ahmed
AU - Mohamed, Yasser
N1 - Publisher Copyright:
© 2016 Elsevier B.V.
PY - 2017/3/1
Y1 - 2017/3/1
N2 - 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.
AB - 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.
KW - Construction operation
KW - Non-parametric
KW - Parametric
KW - Simulation
KW - Weather generator
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U2 - 10.1016/j.autcon.2016.11.014
DO - 10.1016/j.autcon.2016.11.014
M3 - Article
AN - SCOPUS:85007108695
SN - 0926-5805
VL - 75
SP - 108
EP - 126
JO - Automation in Construction
JF - Automation in Construction
ER -