Published January 7, 2020
| Version v1
Journal article
Open
Temporary Variables for Predicting Electricity Consumption Through Data Mining
Description
In the new global and local scenario, the advent of intelligent distribution networks or Smart Grids allows real-time collection of data on the operating status of the electricity grid. Based on this availability of data, it is feasible and convenient to predict consumption in the short term, from a few hours to a week. The hypothesis of the study is that the method used to present time variables to a prediction system of electricity consumption affects the results.
Files
10.10881742-659614321012033.pdf
Files
(776.4 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:e916dd6a6237f3a3feeb187d8be01c34
|
776.4 kB | Preview Download |
Additional details
Related works
- Is published in
- 10757/652132 (Handle)