| _version_ | 1866901090784509952 |
|---|---|
| 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 |