Changes in hourly electricity consumption under COVID mandates: A glance to future hourly residential power consumption pattern with remote work in Arizona
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DOI: 10.1016/j.apenergy.2022.118539
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- Nicolae-Marius Jula & Diana-Mihaela Jula & Bogdan Oancea & Răzvan-Mihail Papuc & Dorin Jula, 2023. "Changes in the Pattern of Weekdays Electricity Real Consumption during the COVID-19 Crisis," Energies, MDPI, vol. 16(10), pages 1-20, May.
- Peplinski, McKenna & Dilkina, Bistra & Chen, Mo & Silva, Sam J. & Ban-Weiss, George A. & Sanders, Kelly T., 2024. "A machine learning framework to estimate residential electricity demand based on smart meter electricity, climate, building characteristics, and socioeconomic datasets," Applied Energy, Elsevier, vol. 357(C).
- Joseph Crawford, 2022. "Working from Home, Telework, and Psychological Wellbeing? A Systematic Review," Sustainability, MDPI, vol. 14(19), pages 1-16, September.
- Garcia-Rendon, John & Rey Londoño, Felipe & Arango Restrepo, Luis José & Bohorquez Correa, Santiago, 2023. "Sectoral analysis of electricity consumption during the COVID-19 pandemic: Evidence for unregulated and regulated markets in Colombia," Energy, Elsevier, vol. 268(C).
- Antić, Tomislav & Capuder, Tomislav, 2024. "A geographic information system-based modelling, analysing and visualising of low voltage networks: The potential of demand time-shifting in the power quality improvement," Applied Energy, Elsevier, vol. 353(PA).
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Keywords
Electricity load forecast; COVID mandates; High-frequency consumer-level data; Random forest; Race and income; Time-of-use rate;All these keywords.
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