Minimization of water pumps' electricity usage: A hybrid approach of regression models with optimization
作者：
Highlights：
• Water pumps are energy-hungry, they are blamed for 4% energy consumption worldwide.
• Some water distribution systems are still operated by utility staffs with no systematic mechanism.
• We proposed a machine-learning method to do this job.
• Our methodology is practical, used for large-sized water systems.
• We made the case-study available to the research community via github.
摘要
•Water pumps are energy-hungry, they are blamed for 4% energy consumption worldwide.•Some water distribution systems are still operated by utility staffs with no systematic mechanism.•We proposed a machine-learning method to do this job.•Our methodology is practical, used for large-sized water systems.•We made the case-study available to the research community via github.
论文关键词：Electricity consumption,Water distribution system,Variable-speed pump,Machine-learning,Optimization
论文评审过程：Received 10 January 2018, Revised 31 March 2018, Accepted 20 April 2018, Available online 26 April 2018, Version of Record 3 May 2018.
论文官网地址：https://doi.org/10.1016/j.eswa.2018.04.027
