Data analytics, modelling and optimization on HVAC systems
This project explores the area of data analytics applied to Heating, Ventilation, and Air Conditioning (HVAC) systems, which leverage Time Series Forecasting, mainly the Darts library. The primary objective of this study is to develop and train accurate forecasting models for the key metrics pro...
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Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2024
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Online Access: | https://hdl.handle.net/10356/176079 |
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Institution: | Nanyang Technological University |
Language: | English |
Summary: | This project explores the area of data analytics applied to Heating, Ventilation, and Air
Conditioning (HVAC) systems, which leverage Time Series Forecasting, mainly the Darts
library.
The primary objective of this study is to develop and train accurate forecasting models for the
key metrics produced by HVAC systems, which would eventually facilitate efficient energy
consumption, and monitor the overall performance of these HVAC systems. To achieve this,
two forecasting models, N-HiTS and N-BEATS are used.
The performance of these forecasting models is continuously being compared across different
metrics with the Mean Absolute Error (MAE), for us to find out which might be more suitable
for which use cases.
In conclusion, this project would contribute to the step forward in a data-driven approach for
HVAC system management, bringing valuable insights to stakeholders to optimize the usage
of their HVAC systems, reducing overall operational costs and improving efficiency. |
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