Leveraging New Data for Renewable Integration and Energy Efficiency

Michaelangelo will present selected portions of his dissertation titled “Leveraging New Data for Renewable Integration and Energy Efficiencyâ€�, which seeks to answer two questions. First, how will the locations of photovoltaic (PV) generators affect the variability and uncertainty of the power they generate? And as a result, will locations of PV systems affect how much supplyâ€"or demandâ€"flexibility is needed in grids that rely on them? Second, how many households in California are actively changing thermostat set points throughout the day? And how much energy do they save as a result? To answer these questions, he develops and evaluates new statistical models that can be fit to data that have become available with installation of new infrastructure: data from rooftop PV inverters and data collected by advanced metering infrastructure (AMI).

Speaker: Michaelangelo Tabone, Stanford