Water Quality and Process Modeling
Models can be developed for virtually any raw water quality parameter or treatment process. Water quality models can be used to predict changes in raw water quality before they occur in your treatment facility. Process models can be used to determine the effects of raw water quality and operational parameters on process performance.

Data Analysis, Cleansing, and Mining
ANN models can be developed for pilot-scale and full-scale data sets and allow the end-user to gain new insight into the importance of each variable. The ANN technology can be used to classify data records into a number of user-defined groups; this feature allows ANNs to be used to identify erroneous records and can also simplify data analysis.

Process Control and Automation Tools
ANN models of treatment process can be integrated into offline and online process control. Offline process control tools include operator training, scenario analysis, and decision verification. ANN models can also be incorporated into real-time advanced process control applications.

Water Demand Forecasting
ANN models can be used to predict treated water demand on the basis of meteorological and other parameters. Water demand forecasting tools allow your utility to manage treatment resources so that customer demand can be reliably met.

Financial Forecasting and Chemical Budgeting
Long term supply and demand management tools can be developed using the ANN technique. As such, your utility can benefit from increased knowledge of potential changes in treated water demand. Similar tools can be used to assist in chemical and operational budgeting.