Forecasting During the Lockdown Period
摘要
The coronavirus disease 2019 (COVID-19) pandemic has urged many governments in the world to enforce a strict lockdown where all nonessential businesses are closed and citizens are ordered to stay at home. One of the consequences of this policy is a significant change in electricity consumption patterns. Load forecasting models often need years of data to achieve good performances, and they are thus slow to react to such sudden changes. As presented in Chap. 6 , online aggregation methods can help to adapt quickly the forecasts in such situation.