Predicting Energy Consumption in Educational Buildings: A Comparative Study of Machine Learning Models
The increasing energy consumption in educational institutions underscores the need for accurate predictive models to enhance energy management and sustainability. This study compares the effectiveness of multiple linear regression (MLR), artificial neural networks (ANN), deep neural networks (DNN),...
| Published in: | 14th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2024 - Proceedings |
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| Main Author: | |
| Format: | Conference paper |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2024
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207062930&doi=10.1109%2fICCSCE61582.2024.10696293&partnerID=40&md5=596f6477ae90b9984ffabedc6463a1a4 |