The Gridium Measurement and Verification model and associated calculations are based upon a Time of Week and Temperature (TOWT) model, originally developed by Lawrence Berkeley National Laboratory (LBNL) and implemented in the open source library “nmecr”. The TOWT model is…
Gridium uses historical data from your buildings to forecast future energy use and costs. However, the past isn't a perfect guide to the future. You can use the Gridium budget forecast as is, without further modification, or you can treat…
Open protocol systems connecting all hardware to your building IoT will bring analytics everywhere and changes to every dimension of building operations.
Work orders for buildings have to balance information with burdening building occupants. Experts from Gridium discuss the four critical aspects of work orders.
Demand response and other incentive programs can be confusingly complex, but done right they can yield handsome returns with minimal risk.
Weather drives day-to-day variation in energy use that obscures underlying trends. Statistical analysis can help you pull a signal from the noise.
Utilities vary prices by time of day and season to encourage buildings to reduce energy use during peak grid load. If you’re not winning the energy efficiency game, you’re losing.
Look beyond kWh for deeper savings
Assessment of Automated Measurement and Verification (M&V) Methods
Rate changes and complex tariffs promise bigger increases and wilder swings in SCE customer rates
Campus-level meter data shines light on savings, solar arrays, and Friday night soirees
Moving beyond grid management, utilities can use interval data to boost demand side efficiency and improve customer engagement