Time-series Forecast for Indoor Zone Air Temperature with Long Horizons: A Case Study with Sensor-based Data from a Smart Building
Analysis
This article presents a case study on forecasting indoor air temperature using time-series data from a smart building. The focus is on long-horizon predictions, which is a challenging but important area for building management and energy efficiency. The use of sensor-based data suggests a practical application of AI in the built environment. The source being ArXiv indicates it's a research paper, likely detailing the methodology, results, and implications of the forecasting model.
Key Takeaways
- •Focus on long-horizon time-series forecasting for indoor air temperature.
- •Utilizes sensor-based data from a smart building.
- •Likely a research paper detailing a specific forecasting model and its performance.
Reference
“The article likely discusses the specific forecasting model used, the data preprocessing techniques, and the evaluation metrics employed to assess the model's performance. It would also probably compare the model's performance with other existing methods.”