Artificial intelligence (AI) and Machine Learning (ML) have become household buzzwords, but how can these technologies be applied to meet water challenges? In this article, WateReuse discusses how AI and ML can be used to analyze data sets, predict key contaminant concentrations, and model to detect faults or further optimize processes.
According to Andy Salveson, “ML/AI has now demonstrated the potential to reduce chemical, energy, and operational costs of advanced treatment by 20%, while still keeping key decision making in the hands of operators and maintaining data security. Ongoing research by USBR and USDOE is focused intently on demonstrating these benefits at pilot and full scale AWPFs
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