Predicting Individual Energy Consumption Using Machine Learning Models

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Main Authors: K. Ramesh, B. Rajeev, G. Vinay Kumar, K. Sriharshadinarayana, K. Yedukondalu
Format: Recurso digital
Published: Zenodo 2023
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author K. Ramesh
B. Rajeev
G. Vinay Kumar
K. Sriharshadinarayana
K. Yedukondalu
author_facet K. Ramesh
B. Rajeev
G. Vinay Kumar
K. Sriharshadinarayana
K. Yedukondalu
contents In an era characterized by increased awareness of environmental concerns and the importance of energy conservation, the accurate prediction of individual energy consumption is a critical endeavour. This journal paper presents a comprehensive approach to forecast the energy usage of individuals by harnessing the power of machine learning algorithms. The study covers data collection, pre-processing, model selection, training, evaluation, deployment, and the interpretation of results. The primary aim is to empower individuals and utility companies with invaluable insights into predicting and optimizing energy usage, thereby reducing environmental impact and promoting energy efficiency.
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18205094
institution Zenodo
language
publishDate 2023
publisher Zenodo
record_format zenodo
spellingShingle Predicting Individual Energy Consumption Using Machine Learning Models
K. Ramesh
B. Rajeev
G. Vinay Kumar
K. Sriharshadinarayana
K. Yedukondalu
Machine Learning
Energy Consumption
Regression Analysis
Feature Engineering
Model Evaluation
In an era characterized by increased awareness of environmental concerns and the importance of energy conservation, the accurate prediction of individual energy consumption is a critical endeavour. This journal paper presents a comprehensive approach to forecast the energy usage of individuals by harnessing the power of machine learning algorithms. The study covers data collection, pre-processing, model selection, training, evaluation, deployment, and the interpretation of results. The primary aim is to empower individuals and utility companies with invaluable insights into predicting and optimizing energy usage, thereby reducing environmental impact and promoting energy efficiency.
title Predicting Individual Energy Consumption Using Machine Learning Models
topic Machine Learning
Energy Consumption
Regression Analysis
Feature Engineering
Model Evaluation
url https://doi.org/10.5281/zenodo.18205094