Demand forecasting through data mining
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Lack of use of hidden sciences in existing rich databases is one of the problems in operational structures. Data mining as a scientific way to extract science from the data stack can have a significant impact on improving operation and reducing costs.PL4W system use known prediction algorithms to identify data behavior in different domains • Performing forecasting calculations for different time periods (hourly, daily, etc.) • Parameter definition of the factors affecting event • Defining algorithm and comparing their results • Forecasting and comparing with the status of a parameter • Detection of missing data completion in data stack • Learning and adapting to operating conditions over time • Identifying outlier data and deleting them
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