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[HTML][HTML] Explainable district heat load forecasting with active deep learning
District heat load forecasting is a challenging task that involves predicting future heat
demand based on historical data and various influencing factors. Accurate forecasting is …
demand based on historical data and various influencing factors. Accurate forecasting is …
[HTML][HTML] Sparse dynamic graph learning for district heat load forecasting
Accurate heat load forecasting is crucial for the efficient operation and management of
district heating systems. This study introduces a novel Sparse Dynamic Graph Neural …
district heating systems. This study introduces a novel Sparse Dynamic Graph Neural …
[HTML][HTML] Robust Indoor Positioning with Smartphone by Utilizing Encoded Chirp Acoustic Signal
B Cheng, Y Huang, C Zou - Sensors, 2024 - mdpi.com
Recently, indoor positioning has been one of the hot topics in the field of navigation and
positioning. Among different solutions on indoor positioning, positioning with acoustic …
positioning. Among different solutions on indoor positioning, positioning with acoustic …