Residential energy management using a moving window algorithm

Abstract

Residential energy management is an important research topic due to the opportunities offered by the coming of Smart Grid, and increasing concern of greenhouse gas emissions. This works demonstrates the formulation and use of optimization to improve energy consumption and production schedules for a single dwelling, and how to integrate it using a moving window error correcting algorithm. The presented numerical results demonstrate that the proposed algorithm outperforms a baseline model without the mowing window algorithm, and is more robust against forecast errors and fluctuations beyond the scope of the scheduling period.