Design and solution of prediction in intelligent buildings

The main goal of this diploma thesis is to analyze, design, and subsequently implement a prediction model of occupants’ access in smart buildings for a selected company. The deployment of Business Intelligence tools is a key aspect of the presented solution. These tools are essential for collecting, processing and transforming of data from different data sources. The obtained data are processed using prediction models and subsequently visualized mainly for building owners. The outcome in the form of graphs and visualizations will allow to respond to forecasts and thus adapt the smart building operations. In the end of this diploma thesis, there will be a presentation of all predictions and subsequent acceptance from the client’s perspective. Last but not least, it summarizes all the findings and problems that occurred during the implementation itself. The contribution of the diploma thesis is the presentation of the proposed procedure and the subsequent solution of the specific implementation of BI and prediction models. The practical part is also beneficial for the company in which this project was implemented. This thesis is suitable for those recipients who already have some experience with Business Intelligence tools or would like to enrich their knowledge in the field of so-called smart or intelligent buildings. Among other things, personal experiences are noted here, which could come in handy for anyone trying to create prediction models.