In the World Economic Forum’s Global Competitiveness Index in 2019, the Philippines ranked low in electricity access (103) and electricity supply quality (53) out of 141 countries. Prediction of electricity consumption will contribute a critical metric to improve the economy. With accurate forecasting, it would allow policymakers to create laws for developing electricity infrastructure and planning supply. With this in mind, the project aims to create an initial, proof-of-concept forecasting model of the power generation demand in Luzon.
If you wish to have a copy of the data and modeling code used in this project, please send a formal request via email.
This study was prepared by Joleil Villena, Jonas Beltran, and William Revilla, in fulfillment of the capstone project requirement of the Eskwelabs Data Science Fellowship. See demo replay here.
Special thanks to our mentors, Albert Yumol and JC Peralta.