| A new model predictive control scheme for energy and cost savings in commercial buildings: an airport terminal building case study H Huang Building and Environment 89, 2015 | 175 | 2015 |
| A neural network-based multi-zone modelling approach for predictive control system design in commercial buildings H Huang Energy and Buildings, 2015 | 151 | 2015 |
| Multi-zone temperature prediction in a commercial building using artificial neural network model H Huang | 43 | 2013 |
| A New Zone Temperature Predictive Modeling for Energy Saving in Buildings H Huang Procedia Engineering 49, Pages 142–151, 2012 | 38 | 2012 |
| A hybrid model predictive control scheme for energy and cost savings in commercial buildings: simulation and experiment H Huang, L Chen, E Hu 2015 American Control Conference (ACC), 256-261, 2015 | 26 | 2015 |
| Model predictive control for energy-efficient buildings: An airport terminal building study H Huang | 22 | 2014 |
| For building operators, what difference does a target make? AC Roussac, H Huang Energy Efficiency 13 (3), 459-471, 2020 | 5 | 2020 |
| Forewarned is Forearmed: Reducing Peak Demand in Commercial Buildings with Behavior Science. 2018 ACEEE Summer Study on Energy Efficiency in Buildings CA Roussac, H Huang Pacific Grove, CA, August, 2018 | 3 | 2018 |
| Reducing energy consumption for buildings under system uncertainty through robust MPC with adaptive bound estimator H Huang, L Chen, E Hu | 3 | 2016 |
| Predicting peak energy demand in commercial buildings under extreme conditions: by how much can we improve accuracy? H Huang, C Roussac 2018 ACEEE Summer Study on Energy Efficiency in Buildings, 1-12, 2018 | 2 | 2018 |
| Retargeting Demand Response for Carbon Positive Flexible Buildings C Roussac, H Huang ACEEE Summer Study on Energy Efficiency in Buildings 12, 453-467, 2022 | | 2022 |
| Unsupervised Learning for Detecting VAV Anomalies in Commercial Buildings H Huang, C Roussac ACEEE Summer Study on Energy Efficiency in Buildings 12, 572-585, 2022 | | 2022 |
| Automated Anomaly Detection and Diagnosis for Real Time Carbon Minimization H Huang, C Roussac 2022 ACEEE Summer Study on Energy Efficiency in Buildings, 2022 | | 2022 |
| Next-generation fault detection for commercial building HVAC systems H Huang, C Roussac, M AIRAH | | 2022 |
| Predicting peak demand in buildings under extreme conditions using a hybrid modelling approach H Huang, C ROUSSAC | | 2018 |
| Experimental Comparison of Two Main Paradigms for Day-Ahead Average Carbon Intensity Forecasting in Power Grids: A Case Study in Australia B Zhang, H Tian, A Berry, H Huang, AC Roussac Available at SSRN 4526848, 0 | | |
Morteza MohammadzaheriBirmingham City UniversityVerified email at bcu.ac.uk
