Practical Space Conditioning System Runtime Identification and Indoor Air Temperature Forecasting Using Low-cost Sensor Measurements

Shengbo Zhang; Marianne F. Touchie; William O’Brien

doi:10.1016/j.enbuild.2026.117706

May 1, 2026Energy and BuildingsOpen Access

Practical Space Conditioning System Runtime Identification and Indoor Air Temperature Forecasting Using Low-cost Sensor Measurements

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Key Points

This research aims to develop a method for accurately identifying HVAC runtime and forecasting indoor air temperature using low-cost sensors.
Utilized a data-driven approach for HVAC runtime identification with 98% accuracy.
Compared linear models and LSTM for temperature prediction accuracy, achieving an error of ≤ 1.2 °C.
Explored scalable methods for predictive control applications, such as future shading control.
Achieved 98% accuracy in identifying HVAC runtime.
Demonstrated that the linear model performed comparably to the LSTM model for temperature forecasting with an error margin of ≤ 1.2 °C.
Presented scalable approaches for future applications in predictive control.

Implication

Identifies HVAC runtime and forecasts indoor air temperature using low-cost sensors, indicating potential for efficient energy management.

Abstract

• HVAC runtime identified with 98% accuracy using a data-driven approach. • Linear model matched LSTM with ≤ 1.2 ∘ C error in temperature prediction. • Scalable approaches enable predictive control for future shading control applications.

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Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/6a192e18fab5b468c44171ba https://doi.org/10.1016/j.enbuild.2026.117706

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Practical Space Conditioning System Runtime Identification and Indoor Air Temperature Forecasting Using Low-cost Sensor Measurements

Key Points

Implication

Abstract

Discussion

Cite This Study

Practical Space Conditioning System Runtime Identification and Indoor Air Temperature Forecasting Using Low-cost Sensor Measurements

Key Points

Implication

Abstract

Discussion

Cite This Study

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