Energy Demand Under COVID-19

Strategy I: Identify patterns by segments in time

Segment 1: 00:00 - 04:59

Segment 2: 05:00 - 09:59

Segment 3: 10:00 - 16:59

Segment 4: 17:00 - 23:59

Segment 1: 0:00 - 04:59

Segment 2: 05:00 - 09:59

Segment 3: 10:00 - 16:59

Segment 4: 17:00 - 23:59

  • Segment 1: COVID-19 period is similar only to January 2nd, 2020.
  • Segment 2: COVID-19 period is similar to 2020 January and February Sundays.
  • Segment 3: COVID-19 period is similat to January 1st, 2nd and some 2020 January’s Sundays.
  • Segment 4: COVID-19 period is similar to January vacation period and 2020 January and February Sundays.
  • Segment 1: COVID-19 period is similar to first the first week of January 2019 and some 2019 hollidays.
  • Segment 2: COVID-19 period is similar to 2019 Sundays.
  • Segment 3: COVID-19 period is similar to 2019 Sundays.
  • Segment 4: COVID-19 period is similar to January vacation period and some 2019 hollidays (Dec 25th).

Strategy II: Consider sensible external variables

Energy demand obeys to social dynamics. Therefore, it makes sense exploring correlations and the impact social activity on it.

Forecasting under COVID-19 condition

By the combination of different strategies and approaches, we are glad to present the first set of models for predicting under atypical conditions.

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