Completeness of data is vital for the decision making and forecasting on Building Management Systems (BMS) as missing data can result in biased decision making down the line. This study creates a guideline for imputing the gaps in BMS datasets by comparing four methods: K Nearest Neighbour algorithm …

Machine learning models have proven to be reliable methods in classification tasks. However, little research has been conducted on the classification of dwelling characteristics based on smart meter and weather data before. Gaining insights into dwelling characteristics, which comprise of the type of …

Woningcorporaties staan aan de voet van een belangrijke fase in de verduurzaming van de woningvoorraad. Er moeten ingrijpende maatregelen doorgevoerd om de woningvoorraad CO2-neutraal te maken. Maar welke beleidskeuzes en -instrumenten zijn ervoor nodig om deze transitie te versoepelen? Dat onderzocht …

Machine learning models have proven to be reliable methods in classification tasks. However, little research has been done on classifying dwelling characteristics based on smart meter & weather data before. Gaining insights into dwelling characteristics can be helpful to create/improve the policies for …