Forecasting community water system outages

The Division of Drinking Water at the California State Water Resources Control Board regulates 2866 Community Water Systems (CWS) throughout the State of California. Some of these CWS risk running out of water during the dry summer season. To address this problem, the Data Science Accelerator at the Office of Data and Innovation collaborated with the Division of Drinking Water to create a machine learning model that forecasts which CWS face the highest risk of running out of water.

Keywords

Machine Learning, Drinking Water, Data Science

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