Page 4: Research news on AI in built environment

AI in the built environment encompasses data-driven and physics-informed methods to model, predict, and optimize the performance and resilience of buildings and infrastructure. Machine learning and advanced simulation are applied to building energy use, HVAC control, and solar and wind power forecasting, as well as to hazard-related phenomena such as subsidence, floods, fire, and seismic events. The field also integrates retrofitting strategies, climate-smart housing design, and regulatory considerations to enhance energy efficiency, comfort, and disaster resilience in urban systems.

Consumer & Gadgets

Residential solar panels can raise electricity rates

A modeling study shows how, under some conditions, increasing numbers of households with rooftop solar panels can lead to higher rates for those without their own solar system. When utility customers cancel their accounts ...

Business

How to predict future energy demand

When Lukas Dahlström returned to Gotland to start his doctoral program at the GRASS graduate school, it was like coming full circle. He grew up on the island and has long been interested in science and sustainable development. ...

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