IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2023i1p255-d1308444.html
   My bibliography  Save this article

Analysis and Modeling of Residential Energy Consumption Profiles Using Device-Level Data: A Case Study of Homes Located in Santiago de Chile

Author

Listed:
  • Humberto Verdejo

    (Department of Electrical Engineering, Faculty of Engineering, Universidad de Santiago de Chile, Santiago 9170124, Chile)

  • Emiliano Fucks Jara

    (Department of Electrical Engineering, Faculty of Engineering, Universidad de Santiago de Chile, Santiago 9170124, Chile)

  • Tomas Castillo

    (Department of Electrical Engineering, Faculty of Engineering, Universidad de Santiago de Chile, Santiago 9170124, Chile)

  • Cristhian Becker

    (Department of Electrical Engineering, Faculty of Engineering, Universidad de Santiago de Chile, Santiago 9170124, Chile)

  • Diego Vergara

    (Department of Electrical Engineering, Faculty of Engineering, Universidad de Santiago de Chile, Santiago 9170124, Chile)

  • Rafael Sebastian

    (Department of Electrical Engineering, Faculty of Engineering, Universidad de Santiago de Chile, Santiago 9170124, Chile)

  • Guillermo Guzmán

    (Department of Electrical Engineering, Faculty of Engineering, Universidad de Santiago de Chile, Santiago 9170124, Chile)

  • Francisco Tobar

    (Department of Electrical Engineering, Faculty of Engineering, Universidad de Santiago de Chile, Santiago 9170124, Chile)

  • Juan Zolezzi

    (Department of Electrical Engineering, Faculty of Engineering, Universidad de Santiago de Chile, Santiago 9170124, Chile)

Abstract

The advancement of technology has significantly improved energy measurement systems. Recent investment in smart meters has enabled companies and researchers to access data with the highest possible temporal disaggregation, on a minute-by-minute basis. This research aimed to obtain data with the highest possible temporal and spatial disaggregation. This was achieved through a process of energy consumption measurements for six devices within seven houses, located in different communes (counties) of the Metropolitan Region of Chile. From this process, a data panel of energy consumption of six devices was constructed for each household, observed in two temporal windows: one quarterly (750,000+ observations) and another semi-annual (1,500,000+ observations). By applying a panel data econometric model with fixed effects, calendar-temporal patterns that help explain energy consumption in each of these two windows have been studied, obtaining explanations of over 80% in some cases, and very low in others. Sensitivity analyses show that the results are robust in a short-term temporal horizon and provide a practical methodology for analyzing energy consumption determinants and load profiles with panel data. Moreover, to the authors’ knowledge, these are the first results obtained with data from Chile. Therefore, the findings provide key information for the planning of production, design of energy market mechanisms, tariff regulation, and other relevant energy policies, both at local and global levels.

Suggested Citation

  • Humberto Verdejo & Emiliano Fucks Jara & Tomas Castillo & Cristhian Becker & Diego Vergara & Rafael Sebastian & Guillermo Guzmán & Francisco Tobar & Juan Zolezzi, 2023. "Analysis and Modeling of Residential Energy Consumption Profiles Using Device-Level Data: A Case Study of Homes Located in Santiago de Chile," Sustainability, MDPI, vol. 16(1), pages 1-32, December.
    • Handle: RePEc:gam:jsusta:v:16:y:2023:i:1:p:255-:d:1308444
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/1/255/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/1/255/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dergiades, Theologos & Tsoulfidis, Lefteris, 2008. "Estimating residential demand for electricity in the United States, 1965-2006," Energy Economics, Elsevier, vol. 30(5), pages 2722-2730, September.
    2. Miller, J. Isaac & Nam, Kyungsik, 2022. "Modeling peak electricity demand: A semiparametric approach using weather-driven cross-temperature response functions," Energy Economics, Elsevier, vol. 114(C).
    3. Kudela, Peter & Havranek, Tomas & Herman, Dominik & Irsova, Zuzana, 2020. "Does daylight saving time save electricity? Evidence from Slovakia," Energy Policy, Elsevier, vol. 137(C).
    4. Kang, Jieyi & Reiner, David M., 2022. "What is the effect of weather on household electricity consumption? Empirical evidence from Ireland," Energy Economics, Elsevier, vol. 111(C).
    5. Mirza, Faisal Mehmood & Bergland, Olvar, 2011. "The impact of daylight saving time on electricity consumption: Evidence from southern Norway and Sweden," Energy Policy, Elsevier, vol. 39(6), pages 3558-3571, June.
    6. Blake Shaffer, 2019. "Location matters: Daylight saving time and electricity demand," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 52(4), pages 1374-1400, November.
    7. Nicholas Rivers, 2018. "Does Daylight Savings Time Save Energy? Evidence from Ontario," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 70(2), pages 517-543, June.
    8. Guven, Cahit & Yuan, Haishan & Zhang, Quanda & Aksakalli, Vural, 2021. "When does daylight saving time save electricity? Weather and air-conditioning," Energy Economics, Elsevier, vol. 98(C).
    9. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    10. Belton, Cameron A. & Lunn, Peter D., 2020. "Smart choices? An experimental study of smart meters and time-of-use tariffs in Ireland," Energy Policy, Elsevier, vol. 140(C).
    11. Choi, Seungmoon & Pellen, Alistair & Masson, Virginie, 2017. "How does daylight saving time affect electricity demand? An answer using aggregate data from a natural experiment in Western Australia," Energy Economics, Elsevier, vol. 66(C), pages 247-260.
    12. Verdejo, Humberto & Becker, Cristhian & Echiburu, Diego & Escudero, William & Fucks, Emiliano, 2016. "Impact of daylight saving time on the Chilean residential consumption," Energy Policy, Elsevier, vol. 88(C), pages 456-464.
    13. Ivanov, Chris & Getachew, Lullit & Fenrick, Steve A. & Vittetoe, Bethany, 2013. "Enabling technologies and energy savings: The case of EnergyWise Smart Meter Pilot of Connexus Energy," Utilities Policy, Elsevier, vol. 26(C), pages 76-84.
    14. Hancevic, Pedro & Margulis, Diego, 2018. "Horario de verano y consumo de electricidad: el caso de Argentina," El Trimestre Económico, Fondo de Cultura Económica, vol. 0(339), pages .515-542, julio-sep.
    15. Moral-Carcedo, Julian & Vicens-Otero, Jose, 2005. "Modelling the non-linear response of Spanish electricity demand to temperature variations," Energy Economics, Elsevier, vol. 27(3), pages 477-494, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Blake Shaffer, 2019. "Location matters: Daylight saving time and electricity demand," Canadian Journal of Economics, Canadian Economics Association, vol. 52(4), pages 1374-1400, November.
    2. Guven, Cahit & Yuan, Haishan & Zhang, Quanda & Aksakalli, Vural, 2021. "When does daylight saving time save electricity? Weather and air-conditioning," Energy Economics, Elsevier, vol. 98(C).
    3. López, Miguel, 2020. "Daylight effect on the electricity demand in Spain and assessment of Daylight Saving Time policies," Energy Policy, Elsevier, vol. 140(C).
    4. Bergland, Olvar & Mirza, Faisal, 2017. "Latitudinal Effect on Energy Savings from Daylight Savings Time," Working Paper Series 08-2017, Norwegian University of Life Sciences, School of Economics and Business.
    5. Kudela, Peter & Havranek, Tomas & Herman, Dominik & Irsova, Zuzana, 2020. "Does daylight saving time save electricity? Evidence from Slovakia," Energy Policy, Elsevier, vol. 137(C).
    6. Flores, Daniel & Luna, Edgar M., 2019. "An econometric evaluation of daylight saving time in Mexico," Energy, Elsevier, vol. 187(C).
    7. Miguel López & Sergio Valero & Carlos Sans & Carolina Senabre, 2020. "Use of Available Daylight to Improve Short-Term Load Forecasting Accuracy," Energies, MDPI, vol. 14(1), pages 1-14, December.
    8. Shaffer, Blake, 2017. "Location matters: daylight saving time and electricity use," MPRA Paper 84053, University Library of Munich, Germany.
    9. Bircan, Çağatay & Wirsching, Elisa, 2023. "Daylight saving all year round? Evidence from a national experiment," Energy Economics, Elsevier, vol. 127(PB).
    10. Choi, Seungmoon & Pellen, Alistair & Masson, Virginie, 2017. "How does daylight saving time affect electricity demand? An answer using aggregate data from a natural experiment in Western Australia," Energy Economics, Elsevier, vol. 66(C), pages 247-260.
    11. Tomas Havranek & Dominik Herman & Zuzana Irsova, 2018. "Does Daylight Saving Save Electricity? A Meta-Analysis," The Energy Journal, , vol. 39(2), pages 35-61, March.
    12. Salari, Mahmoud & Javid, Roxana J., 2016. "Residential energy demand in the United States: Analysis using static and dynamic approaches," Energy Policy, Elsevier, vol. 98(C), pages 637-649.
    13. Hugo Salas & Pedro Ignacio Hancevic, 2023. "The unexpected effects of daylight-saving time: Traffic accidents in Mexican municipalities," EconoQuantum, Revista de Economia y Finanzas, Universidad de Guadalajara, Centro Universitario de Ciencias Economico Administrativas, Departamento de Metodos Cuantitativos y Maestria en Economia., vol. 20(1), pages 1-29, Enero-Jun.
    14. Satish Suresh Tanavade & Ganesh Nagraj Patil & C. V. Sudhir & A. M. Saravanan, 2023. "Strategic Energy Management and Carbon Footprint Reduction in University Campuses: A Comprehensive Review," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 15-27, November.
    15. Moral-Carcedo, Julián & Pérez-García, Julián, 2015. "Temperature effects on firms’ electricity demand: An analysis of sectorial differences in Spain," Applied Energy, Elsevier, vol. 142(C), pages 407-425.
    16. Strong, Derek Ryan, 2017. "The Early Diffusion of Smart Meters in the US Electric Power Industry," Thesis Commons 7zprk, Center for Open Science.
    17. Brewer, Dylan, 2023. "Household responses to winter heating costs: Implications for energy pricing policies and demand-side alternatives," Energy Policy, Elsevier, vol. 177(C).
    18. Averi Chakrabarti & Karen A Grépin & Stéphane Helleringer, 2019. "The impact of supplementary immunization activities on routine vaccination coverage: An instrumental variable analysis in five low-income countries," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-11, February.
    19. Harold Alderman & John Hoddinott & Bill Kinsey, 2006. "Long term consequences of early childhood malnutrition," Oxford Economic Papers, Oxford University Press, vol. 58(3), pages 450-474, July.
    20. Ichev, Riste & Valentinčič, Aljoša, 2025. "The effect of impact investing on performance of private firms," Research in International Business and Finance, Elsevier, vol. 73(PA).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2023:i:1:p:255-:d:1308444. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.