Graph neural networks (GNNs) are powerful artificial intelligence (AI) models designed for analyzing complex, unstructured graph data. In such data, entities are represented as nodes and ...

Large commercial and institutional buildings face significant challenges in maintaining thermal comfort while minimizing ...

Savings Calculations Although termed 'simplified,' the ASHRAE methodology for calculating energy savings demands extensive knowledge of the building's HVAC system. Accurate calculations hinge on ...

Heating, ventilation, and air conditioning (HVAC) systems, a critical component of building energy consumption, are prone to faults that can reduce their efficiency. Traditional data-driven fault ...

While it’s easy to get lost in the numbers, the data tells a simple, but compelling, story: We can have a much greater impact by addressing energy waste and reducing energy demand—with AI ...

They found that data centres could save between 13 and 56 per cent of the energy used on cooling by running at 41°C (106°F) compared with those running at 22°C (72°F), without significant ...