Scheduling the energy consumption of residential loads, the impact of missing data
Abstract
We analyse the impact of missing data on the scheduling of residential energy loads, quantifying how data gaps affect the quality of demand-side management optimization solutions.
BibTeX
@article{salani2022scheduling,
title = {Scheduling the energy consumption of residential loads, the impact of missing data},
author = {Salani, Matteo and Derboni, Marco and Rizzoli, Andrea Emilio},
year = {2022}
}