A Transfer Learning-based Method for the Daily Electricity Consumption
Forecasting of Large Industrial Users after Business Expansion
Siteng Wang,
Wenjie Li,
Yan Shi
et al.
Abstract:Background:
With the rapid development of industry, the expansion capacity and frequency
of large industrial users continue to increase. However, the traditional static prediction
model is difficult to accurately predict the daily electricity consumption of industrial expansion,
which is not conducive to the safe and stable operation of the power grid.
Objective:
In response to the above problems, this paper proposes a transfer learning-based method
for the daily electricity consumption forecasting of large … Show more
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