Residential energy simulation and scheduling: A case study approach

Residential energy contributes to 38% of the total energy consumption of the United States [1]. Current research aims to reduce consumption through time-of-use (TOU) pricing or by providing energy information to consumers. Industrial innovations are focused on energy efficiency and automated control of appliances. However, to date, quantifying the benefits of current and future technology improvements in residential energy management is difficult. This work presents HomeSim, a simulation platform aimed at residential energy modeling that can compare and quantify these results. The subsequent case studies leverage HomeSim to explore current and future technologies, including distributed batteries, renewable sources, smart appliances, cost-aware scheduling, and peak power reduction.