Preprocessing
Raw data collected from a data source usually presents different particularities, such as data range, sampling, and category. Some variables result from measurements while others are summarized or even calculated. Preprocessing means to adapt these variable values to a range that neural networks can handle properly.
Regarding weather variables, let's take a look at their range, sampling, and type:
Variable |
Unit |
Range |
Sampling |
Type |
---|---|---|---|---|
Mean temperature |
º C |
10.86 – 29.25 |
Hourly |
Average of hourly measurements |
Precipitation |
mm |
0 – 161.20 |
Daily |
Accumulation of daily rain |
Insolation |
hours |
0 – 10.40 |
Daily |
Count of hours receiving sun radiation |
Mean humidity |
% |
45.00 – 96.00 |
Hourly |
Average of hourly measurements |
Mean wind ... |
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