AI in Property Management

In this event we look at three different presentations:
Mikael Huss and Linus Östlund from Codon Consulting discuss their ML projects with Fabege. They talk about their occupancy prediction model using XGBoost, and a per-site district heating forecasting model using CatBoost
Andreas Hölne from Fabege talks about general digital and data initiatives at the property developer and how it fits within the general property development context
Carl-Johan Fredman from Myrspoven talks about their AI-powered platform for energy optimization in buildings - combining a mixture of thermodynamics models and regression models in order to smooth out power consumption; he also talks about the emerging flexibility markets in the energy sector