The project is dedicated for an energy sector analyst who wants to estimate the forecast of energy demand and energy generation for an artificially defined area. As a result of the work the extended version of the prototype of an in-memory Business Intelligence solution using SAP HANA and Crystal Reports will be created. The solution is a tool that allows for preparing a pre-defined set of forecasting models and reports, which, unlike to other commercial solutions, gives the user the possibility of choosing sophisticated models with large amount of variables. The project is focused on the analysis of the structured data such as energy consumption and energy generation from RES, meteorological data, which is strongly correlated with the energy data, as well as on the analysis of the unstructured data (as an example – unstructured data available on Internet portals or forums that may contain opinions from the current and future clients on the energy providers’ offers and products).
The project was awarded in May 2014 by HPI with a title: Featured Project of the Month.
Project duration: Spring 2014
External project website:http://hpi.de/en/research/future-soc-lab/project-of-the-month.html