MORE | Spring 2022
Disaggregation of Time Series Energy Consumption Data of Residential Buildings Using Data Analytics Approaches
Buildings, consuming ~40% of U.S. total energy, exhibit significant operational inefficiencies leaving an opportunity to implement various energy-efficiency measures. Time series building energy data analyses in the past gave insights into building operation and characteristics, specific insights into HVAC scheduling, daily operational variation, and the relative impact of temperature and solar radiation complementary time series datasets. This work improves these analyses by further revealing the daily operational characteristics of major end uses in a residential building, exposing the real sources of abnormalities in energy usage as well as unlocking the potential of smart usage, cost savings and building energy efficiency.
Hometown: Juapong, Volta Region, Ghana
Graduation date: Spring 2022