论文标题
Covid-19-19的影响对爱沙尼亚能源需求的影响
Impact of COVID-19 Pandemic on Energy Demand in Estonia
论文作者
论文摘要
COVID-19大流行引发了一个问题，即如何衡量和评估应用限制的充分性。可用的研究提出了各种主要分组为统计和机器学习技术的方法。当前的论文通过引入一个简单的线性回归模型来加入这一研究线，该模型消除了每周周期，可用的日光，温度和风中的影响，从电力消耗数据中消除了影响。使用实际数据验证该模型，并实现对经济影响的定性分析。
The COVID-19 pandemic triggered a question of how to measure and evaluate adequacy of the applied restrictions. Available studies propose various methods mainly grouped to statistical and machine learning techniques. The current paper joins this line of research by introducing a simple-yet-accurate linear regression model which eliminates effects of weekly cycle, available daylight, temperature, and wind from the electricity consumption data. The model is validated using real data and enables the qualitative analysis of economical impact.
