COVID-19 疫情对中国用电量的影响:基于月度用电量预测的综合分析

Fengting Wu
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摘要

COVID-19 大流行深刻改变了中国各行业和家庭的用电总量和模式。然而,目前的研究尚未全面、准确地衡量大流行的影响。本文建立了一个新颖的离散灰色季节模型(简称 FDDGSM 模型),预测了国内不同用电行业和居民用电在没有大流行背景下的情景,通过与 2020 年实际用电量的比较,更好地揭示了 COVID-19 大流行对中国用电量的影响。通过实证分析,本研究得出以下结论:(1)新型离散灰色季节模型在预测具有季节性趋势的时间序列时表现出更稳定、更准确的特点。(2)大流行对第一产业和家庭的用电量影响不大,而第二产业和第三产业的实际用电量明显低于非大流行情况下的预期。(3) 对第二产业和第三产业的影响程度和持续时间不同,用电量的恢复速度也不同。
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Implications of the COVID-19 Pandemic on China's Power Consumption: A comprehensive Analysis Derived from Monthly Electricity Consumption Forecasts
The COVID-19 pandemic profoundly altered the total and pattern of electricity consumption across Chinese industries and households. However, current research has not fully and accurately measured the impact of the pandemic. This paper builds a novel discrete gray seasonal model (referred to as the FDDGSM model) to predict the scenario of different domestic electricity-consuming sectors and residential electricity consumption without a pandemic backdrop, by comparing it with the actual electricity consumption in 2020, the impact of the COVID-19 pandemic on China's electricity consumption is better revealed. Through empirical analysis, the following conclusions are reached in this study: (1) The novel discrete grey season model shows more stable and accurate characteristics in forecasting time series with seasonal trends. (2) The pandemic did not significantly impact electricity consumption in primary industries and households, while actual usage in secondary and tertiary industries was significantly lower than expected in a non-pandemic scenario. (3) The impact on secondary and tertiary industries varied in magnitude and duration, and they differed in the rate of recovery in electricity consumption.
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