项目作者: joleilvillena

项目描述 :
Proof-of-concept forecasting model of the power generation demand in Luzon
高级语言: Jupyter Notebook
项目地址: git://github.com/joleilvillena/ph-power-demand.git
创建时间: 2021-02-28T13:53:42Z
项目社区:https://github.com/joleilvillena/ph-power-demand

开源协议:MIT License

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Forecasting the Power Demand of the Luzon Electrical Grid using Clustering and Predictive Modeling

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.

Contributors

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.

License

MIT