Home Case Studies Development of a Data Science Platform for Energy Trading
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The Project: Retrieve and standardize data from different web APIs to store it in an Azure data warehouse and make this information (weather, energy production, multi-year energy consumption history) available. Further, an artificial intelligence engine permits forecasts of these large volumes of data.
The energy sector must adapt to technological changes. For this to happen, support for new artificial intelligence engines becomes essential to optimizing internal strategies, improving predictions, anticipating risks, and thus reducing costs.