
Project: Using Machine Learning for Calculating Construction Emissions
Ponsu Muthuraman ’26 evaluated the use of a machine learning tool to improve construction carbon emission estimation.
Unlock the potential to reduce energy consumption and cut costs with these essential tools and strategies designed for facilities and building managers.
Whether working from home or in Stanford’s offices, reducing electrical consumption is a smart way to save power and cut energy costs. Install appliance timers and Smart Strips to reduce the energy load at your workstations.
Conserve energy by turning off heating and ventilation systems in buildings during holiday closures. For example, two weeks before Thanksgiving, look for notifications and reminders to customize your building’s HVAC systems with a special checklist.

Building managers can share ready-made Sustainable Stanford signage and communication with occupants that remind them to unplug and turn off devices as appropriate and to turn down thermostats before breaks.
Reduce the energy use in buildings by tailoring HVAC to occupancy. To learn more about building automation and controls and how to use building thermostats, connect with Sustainable Stanford.

Ponsu Muthuraman ’26 evaluated the use of a machine learning tool to improve construction carbon emission estimation.

Danica Sun ’28 explored smarter resource use for one of Stanford’s major computing clusters.

Rachel Porter, PhD candidate, investigated alternatives for reducing reliance on Stanford’s natural gas-fired steam plant.