The Greenbuild China Conference and Expo 2019 took place in 22 – 24 October 2019, at W Shanghai – The Bund. NEAPOLI was invited to give an educational session on “Machine Learning and the Impact on Energy Efficiency in Buildings”. In an one-hour session Prof Hans Weemaes, Managing Director NEAPOLI covered the basics of machine learning, how it can be applied to the built environment, and 6 evidence-based tips on how leaders should think about those challenges. The story was based on research and uses several great examples to make this story sparkle. These are the cases of Post-It (3M), Kodak, Nespresso, Medtronic and British Airways. Specifically to Machine Learning and the Impact on Energy Reduction in Buildings he addressed the:

• Advancements in generative design and machine learning
• Investigate data-driven building energy consumption prediction models to achieve maximum energy savings
• NEAPOLI’s case studies of machine learning-based models to predict the cooling energy consumption based on several design parameters
• Validation of the prediction performance and computational efficiency against the measurement of energy simulation data.

Ηans Weemaes described NEAPOLI as an environmental design & engineering firm that “uses technology and computation to improve the building information modelling process, which improves project outcomes through better planning.” NEAPOLI is already forging a path toward a truly advanced generative design as a framework that integrates human and artificial intelligence to create novel solutions to complex problems.