Duarte, J.E.; Rosero-Garcia, J.; Duarte, O. Analysis of Variability in Electric Power Consumption: A Methodology for Setting Time-Differentiated Tariffs. Energies2024, 17, 842.
Duarte, J.E.; Rosero-Garcia, J.; Duarte, O. Analysis of Variability in Electric Power Consumption: A Methodology for Setting Time-Differentiated Tariffs. Energies 2024, 17, 842.
Duarte, J.E.; Rosero-Garcia, J.; Duarte, O. Analysis of Variability in Electric Power Consumption: A Methodology for Setting Time-Differentiated Tariffs. Energies2024, 17, 842.
Duarte, J.E.; Rosero-Garcia, J.; Duarte, O. Analysis of Variability in Electric Power Consumption: A Methodology for Setting Time-Differentiated Tariffs. Energies 2024, 17, 842.
Abstract
This study proposes a methodology for identifying time intervals in which time-of-use (ToU) energy tariffs can be set. This is achieved by analyzing the variability in electric power demand and esti-mating the potential for demand flexibility. The proposed methodology is as follows: first, data preprocessing is performed, focusing on the organization and cleaning of individual consumption records. Subsequently, the data are processed and classified by using consumption variability analysis and clustering techniques. Then, representative clusters are selected and time intervals are analyzed to identify periods of high electric power consumption variability. This methodology was tested with real data from smart meters in the Colombian electrical system, in which time intervals with potential for settinh ToU tariffs were ultimately identified.
This work promotes the implementation of demand response strategies that enhance sustainability and facilitate the transition to a more resilient energy landscape both nationally and internationally. The findings are expected to contribute to the formulation of tariff schemes that encourage con-scious changes in electric energy consumption patterns.
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
