Forecasting Hourly Electricity Demand Under COVID-19 Restrictions

Ali K K, Erg n Y Kseltan, Mustafa Hekimo Lu, Esra Agca Aktunc, Ahmet Y Cekaya and Ay e Bilge
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Ali K K: Industrial Engineering Department, Kadir Has University, Istanbul, Turkey.
Erg n Y Kseltan: Industrial Engineering Department, Kadir Has University, Istanbul, Turkey.
Mustafa Hekimo Lu: Industrial Engineering Department, Kadir Has University, Istanbul, Turkey.
Esra Agca Aktunc: Industrial Engineering Department, Kadir Has University, Istanbul, Turkey.
Ahmet Y Cekaya: Industrial Engineering Department, Kadir Has University, Istanbul, Turkey.
Ay e Bilge: Industrial Engineering Department, Kadir Has University, Istanbul, Turkey.

International Journal of Energy Economics and Policy, 2022, vol. 12, issue 1, 73-85

Abstract: The rapid spread of the COVID-19 pandemic has severely impacted many sectors including the electricity sector. The restrictions such as lockdowns, remote-working, and -schooling significantly altered the consumers behaviors and demand structure especially due to a large number of people working at home. Accurate demand forecasts and detailed production plans are crucial for cost-efficient generation and transmission of electricity. In this research, the restrictions and their corresponding timing are classified and mapped with the Turkish electricity demand data to analyze the impact of the restrictions on total demand using a multiple linear regression model. In addition, the model is utilized to forecast the electricity demand in pandemic conditions and to analyze how different types of restrictions impact the total electricity demand. It is found that among three levels of COVID-19 restrictions, age-specific restrictions and the complete lockdown have different effects on the electricity demand on weekends and weekdays. In general, new scheduling approaches for daily and weekly loads are required to avoid supply-demand mismatches as COVID-19 significantly changed the consumer behavior, which appears as altered daily and weekly load profiles of the country. Long-term policy implications for the energy transition and lessons learned from the COVID-19 experience are also discussed.

Keywords: COVID-19; Pandemic; Electricity Demand; Daily Demand Curve; Restrictions; Regression (search for similar items in EconPapers)
JEL-codes: E17 Q40 Q47 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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