This ICT award-winning module is an all-in-one intelligent system leveraging big data analytics and machine learning (ML) for achieving building energy efficiency and sustainable development. ATAL’s Dynamic Optimisation is built upon the basis of self-trained physics-guided ML models using actual operating data. This ensures energy performance of the whole chiller plant being optimised in real-time, using advanced modelling and optimisation techniques. Buildings can achieve up to 30% energy savings on chiller plant operations with the use of the module, depending on the building types and the buildings’ current energy performance.