Borunda, M.; Vega, A.O.; Garduno, R.; Conde, L.; Medina, M.A.; Aparicio, J.R.; Cacho, L.M.; Jaramillo, O.A.
An Intelligent Method for Day-Ahead Regional Load Demand Forecasting via Machine-Learning Analysis of Energy Consumption Patterns Across Daily, Weekly, and Annual Scales. Appl. Sci. 2025, 15, 4717.
https://doi.org/10.3390/app15094717
AMA Style
Borunda M, Vega AO, Garduno R, Conde L, Medina MA, Aparicio JR, Cacho LM, Jaramillo OA.
An Intelligent Method for Day-Ahead Regional Load Demand Forecasting via Machine-Learning Analysis of Energy Consumption Patterns Across Daily, Weekly, and Annual Scales. Applied Sciences. 2025; 15(9):4717.
https://doi.org/10.3390/app15094717
Chicago/Turabian Style
Borunda, Monica, Arturo Ortega Vega, Raul Garduno, Luis Conde, Manuel Adam Medina, Jeannete RamÃrez Aparicio, Lorena Magallón Cacho, and O. A. Jaramillo.
2025. "An Intelligent Method for Day-Ahead Regional Load Demand Forecasting via Machine-Learning Analysis of Energy Consumption Patterns Across Daily, Weekly, and Annual Scales" Applied Sciences 15, no. 9: 4717.
https://doi.org/10.3390/app15094717
APA Style
Borunda, M., Vega, A. O., Garduno, R., Conde, L., Medina, M. A., Aparicio, J. R., Cacho, L. M., & Jaramillo, O. A.
(2025). An Intelligent Method for Day-Ahead Regional Load Demand Forecasting via Machine-Learning Analysis of Energy Consumption Patterns Across Daily, Weekly, and Annual Scales. Applied Sciences, 15(9), 4717.
https://doi.org/10.3390/app15094717
