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Energy management strategies use short‐term water consumption forecasting to minimize cost of pumping operations
Author(s) -
Jentgen Larry,
Kidder Harold,
Hill Robert,
Conrad Steve
Publication year - 2007
Publication title -
journal ‐ american water works association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.466
H-Index - 74
eISSN - 1551-8833
pISSN - 0003-150X
DOI - 10.1002/j.1551-8833.2007.tb07957.x
Subject(s) - term (time) , energy consumption , consumption (sociology) , demand forecasting , energy management , demographics , water consumption , operations research , water utility , computer science , environmental economics , operations management , energy (signal processing) , engineering , economics , water supply , environmental engineering , social science , statistics , physics , mathematics , quantum mechanics , sociology , electrical engineering , demography
By moving from a reactive (consumption‐following) to a proactive operating strategy using short‐term consumption forecasting (STCF), utilities can save millions of dollars in energy costs. Accurate forecasting techniques and tools are required to realize these cost savings. Short‐term consumption forecasting systems at four water utilities as well as developed prototype systems at five water utilities were studied. Various forecasting methods were also studied and accuracy benchmarked. These nine utilities comprise numerous climate zones and varied customer demographics throughout North America. Electric utility experience with short‐term load forecasting is also presented. Observations and lessons learned are presented. Further recommendations will be published by the Awwa Research Foundation in a future report.