average_expected_demand#
module wntr.metrics.hydraulic
- average_expected_demand(wn, category=None)[source]#
Compute average expected demand per day at each junction using base demands and demand patterns along with the demand multiplier
- Parameters:
wn (wntr WaterNetworkModel) – Water network model. The water network model is needed to get demand timeseries at junctions and options related to duration, timestep, and demand multiplier.
category (str (optional)) – Demand category name. If None, all demand categories are used.
- Return type:
A pandas Series that contains average expected demand in m3/s (index = junction names).