Real-Time Data Forecasting On Missing Energy Data Using Seasonal Autoregressive Integrated Moving Average (SARIMA) Model
Energy data analysis is becoming more important for producing efficient and cost-effective energy by monitoring usage and identifying when energy loses quality. Time series analysis helps predict future trends and supports decision-making. This study uses the SARIMA model to forecast missing energy...
| Published in: | 2024 14th International Conference on System Engineering and Technology, ICSET 2024 - Proceeding |
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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-s2.0-85215066526&doi=10.1109%2fICSET63729.2024.10774909&partnerID=40&md5=41bc1e94b0f47f5c6f7b07c97e7a7ba8 |