Analysis and Selection of Multiple Machine Learning Methodologies in PyCaret for Monthly Electricity Consumption Demand Forecasting

Analysis and Selection of Multiple Machine Learning Methodologies in PyCaret for Monthly Electricity Consumption Demand Forecasting

This study investigates the application of several machine learning models using PyCaret to forecast the monthly demand for electricity consumption; we analyze historical data of monthly consumption readings for the Cuajone Mining Unit of the company Minera Southern Peru Copper Corporation, recorded...

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Bibliographic Details
Main Authors: José Orlando Quintana Quispe, Alberto Cristobal Flores Quispe, Nilton Cesar León Calvo, Osmar Cuentas Toledo
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Materials Proceedings
Subjects:
machine learning
PyCaret
electricity consumption forecasting
exponential smoothing
AdaBoost
ETS
Online Access:https://www.mdpi.com/2673-4605/18/1/5

Internet

https://www.mdpi.com/2673-4605/18/1/5

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