Machine and statistical learning algorithms can be reliably automated applied at scale. Therefore, they constitute a considerable asset for designing practical forecasting systems, such as those related to urban water demand. Quantile regression are machine that provide probabilistic forecasts in straightforward way, have not been so far demand forecasting. In this work, we fill gap, thereby pr...

the objective of this paper is to determine the drift demand hazard curves of steel moment-resisting frames with different number of stories in territory of tehran this is done through the combination of the results obtained from probabilistic seismic hazard analysis and the demand estimated through the best probabilistic seismic demand models. to select the best demand model, in this paper, a ...

There exist various service systems that have hierarchical structure. In hierarchical service networks, facilities at different levels provide different types of services. For example, in health care systems, general centers provide low-level services such as primary health care services, while the specialized hospitals provide high-level services. Because of demand congestion in service networ...