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Conference Paper
Machine Learning-based Analysis of Correlation between Energy Consumption Data of the Company and its Sales
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- Authors
- Jungi Lee, NacWoo Kim, HyunYong Lee, SangJun Park, ByungTak Lee
- Issue Date
- 2020-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.1258-1260
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- This paper has researched about the correlation between company data, and its annual sales data. Using the identified correlation, we propose a new method of predicting the company's annual sales data with energy consumption data. For this work, gradient boosting was applied to the predictive learning model for effective and better performance of prediction. To implement this method, district address-based energy consumption data is merged into company survey data with pre-processing. Then to predict the sales of each company, the gradient boosting based machine learning model has applied. Our approach to utilizing the energy consumption data can contribute to a new method of predicting the status of companies.
- KSP Keywords
- Company data, Company survey, Learning model, Learning-based, Performance of prediction, Pre-processing, Sales data, consumption data, energy consumption, gradient boosting, machine Learning