基于随机森林的居民用水量预测

Prediction of Household Daily Water Consumption Based on Random Forest

摘要: 水资源管理中至关重要的工作之一就是用水量预测工作，建立模型对未来一定时段内居民用水量进行合理预测，对于水资源规划、城市供水管网建设、供水调度优化等都具有重要指导意义。选取气象和疫情相关变量，构建随机森林模型对深圳市某小区日用水量进行预测，并结合每日用水规律对小时用水量进行预测，对本地城市居民用水量预测工作具有一定参考价值。

Abstract: One of the most important tasks in water resources management is water consumption prediction. The establishment of a model to reasonably predict the water consumption of residents in a certain period of time in the future has important guiding significance for water resources planning, urban water supply network construction and optimization of water supply scheduling. The random forest model was built to predict the daily water consumption of a residential district in Shenzhen by selecting the variables related to weather and epidemic, and the hourly water consumption was predicted by combining the daily water consumption rule. At the same time, it had certain reference value for the local urban residential water consumption prediction.