Energy variables for benchmarking in technical schools in São Paulo, Brazil
| Main Author: | Silva, Haroldo Luiz Nogueira da |
|---|---|
| Format: | Dataset |
| Terbitan: |
Mendeley
, 2019
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| Subjects: | |
| Online Access: |
https:/data.mendeley.com/datasets/zwv5d46pp5 |
Daftar Isi:
- Variables: DMU: Decision Making Unit; PDC: Peek demand contracted (peek demand value contracted with the energy company); PDS: Peek demand suggested (peek demand value suggested as ideal); PDD: Peek demand deviation (difference between the contracted and ideal peak demand); AAE_obs: Anual active energy observed (annual energy consumption real); AAE_pred: Anual active energy predicted (annual energy consumption predicted by predictive model - e.g. machine learning methods, linear regression); RAE: Reactive anual energy (annual reactive energy consumption); AEN_nsd: Active energy in non-school months (energy consumption in non-school months); TNS: Total number of students (total number of students in the school).