| Title: |
Changes in energy use profiles derived from electricity smart meter readings of residential buildings in Milan before, during and after the COVID-19 main lockdown |
| Authors: |
Ferrando, M; Banfi, A; Causone, F |
| Contributors: |
Ferrando, M; Banfi, A; Causone, F |
| Publication Year: |
2023 |
| Collection: |
RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano |
| Subject Terms: |
Covid-19; Remote working; Electricity consumption; Residential sector; Smart meter readings; Load profiles schedules; Clustering |
| Description: |
The COVID-19 pandemic had a profound impact on society, causing changes in various aspects of people's lives, including their energy use habits. This has prompted a need for checking and updating standard energy use profiles, particularly for residential electricity use. To address this topic, a study was conducted on 24 multifamily buildings in Milan, using clustering to extract patterns from a database of quarter-hourly electricity use data from 2019 to 2020. This study found an increase in electricity usage during the COVID-19 lockdown period for residential buildings, likely associated with the imposed restrictions. The research also highlighted a shift in energy usage from the morning peak to the central hours of the day during the working days of the lockdown period, while a gradual increase in electricity usage throughout the day and no morning peak was observed during the Autumn (post-COVID) period. The findings can assist regulators and businesses in weighing the benefits and drawbacks of remote working and provide modellers with a complete set of daily load profiles for an Italian residential case study. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| Relation: |
info:eu-repo/semantics/altIdentifier/wos/WOS:001079735600001; volume:99; firstpage:1; lastpage:16; numberofpages:16; journal:SUSTAINABLE CITIES AND SOCIETY; https://hdl.handle.net/11311/1256817 |
| DOI: |
10.1016/j.scs.2023.104876 |
| Availability: |
https://hdl.handle.net/11311/1256817; https://doi.org/10.1016/j.scs.2023.104876 |
| Rights: |
info:eu-repo/semantics/openAccess |
| Accession Number: |
edsbas.B4E5CAEC |
| Database: |
BASE |