Energy variables for benchmarking in technical schools in São Paulo, Brazil

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).

变量包括：
DMU：决策单元；
PDC：峰值需求合约（与能源公司签订的峰值需求值合约）；
PDS：峰值需求建议（理想峰值需求值建议）；
PDD：峰值需求偏差（合约与理想峰值需求之间的差异）；
AAE_obs：年度实际活性能量（实际年度能耗）；
AAE_pred：年度预测活性能量（预测模型预测的年度能耗，例如机器学习方法、线性回归）；
RAE：年度无功能量（年度无功能耗）；
AEN_nsd：非学校月份的活性能量（非学校月份的能耗）；
TNS：学生总数（学校中的学生总数）。