Determination of the Weekly Profile of the Residential Electricity Consumption in Gran Canaria Island: A Survey-Based Approach

Abstract

The transition to a more sustainable energy system requires a better understanding of residential electricity consumption. This study reviews existing methodologies for analyzing household energy use and examines the weekly load profile of households in Gran Canaria by combining surveys and neural networks. While real responses are being collected, synthetic data generated with artificial intelligence w ere used to train a predictive model. The goal is to estimate residential consumption from socio-economic data and offer insights into household load curves in the Canary Islands, supporting energy policies and demand-side management strategies.