DAILY_DEMAND_TR: Data frame with 4 variables
In NeuralSens: Sensitivity Analysis of Neural Networks
DAILY_DEMAND_TR R Documentation
Data frame with 4 variables
Description
Training dataset with values of temperature and working day to predict electrical demand
Format
A data frame with 1980 rows and 4 variables:
- DATE
date of the measure
- DEM
electrical demand
- WD
Working Day: index which express how much work is made that day
- TEMP
weather temperature
Author(s)
Jose Portela Gonzalez
References
Pizarroso J, Portela J, Muñoz A (2022). NeuralSens: Sensitivity Analysis of
Neural Networks. Journal of Statistical Software, 102(7), 1-36.
NeuralSens documentation built on June 22, 2024, 12:06 p.m.
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| DAILY_DEMAND_TR | R Documentation |
Data frame with 4 variables
Description
Training dataset with values of temperature and working day to predict electrical demand
Format
A data frame with 1980 rows and 4 variables:
- DATE
date of the measure
- DEM
electrical demand
- WD
Working Day: index which express how much work is made that day
- TEMP
weather temperature
Author(s)
Jose Portela Gonzalez
References
Pizarroso J, Portela J, Muñoz A (2022). NeuralSens: Sensitivity Analysis of Neural Networks. Journal of Statistical Software, 102(7), 1-36.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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