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Application design for the forecasting of costs of 4.0 machinery
Cost Prevention Engine
Provision of an advanced analytics tool that allows the customer to query a future time window and have a forecast of the operating costs of the machinery and the electricity used.

Description of activities
Data ingestion phase managed via native APIs of 4.0 machines with consequent development of a database population pipeline on Azure environment.
Development of a forecasting model based on historical series of machine data related to the power developed, KWh used. Finally, the model transforms the consumption information into costs related to production and electricity.
Webapp interface to interact with the forecasting model.
Tools and technologies used
Azure, Python, Streamlit, Bitbucket, Prophet




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