1 citations · 2 across the 4 of their papers we have counts for
4 papers
Towards Machine Learning-based Model Predictive Control for HVAC Control in Multi-Context Buildings at Scale via Ensemble Learning
Yang Deng, Yaohui Liu, Rui Liang +4
The building thermodynamics model, which predicts real-time indoor temperature changes under potential HVAC (Heating, Ventilation, and Air Conditioning) control operations, is cruc…
A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids
Dafang Zhao, Xihao Piao, Zheng Chen +2
Accurate forecasting of the electrical load, such as the magnitude and the timing of peak power, is crucial to successful power system management and implementation of smart grid s…
Improving Building Temperature Forecasting: A Data-driven Approach with System Scenario Clustering
Dafang Zhao, Zheng Chen, Zhengmao Li +2
Heat, Ventilation and Air Conditioning (HVAC) systems play a critical role in maintaining a comfortable thermal environment and cost approximately 40% of primary energy usage in th…
Data-driven HVAC Control Using Symbolic Regression: Design and Implementation
Yuki Ozawa, Dafang Zhao, Daichi Watari +4
The large amount of data collected in buildings makes energy management smarter and more energy efficient. This study proposes a design and implementation methodology of data-drive…