Verifiable observation of permissioned ledgers
Ermyas Abebe, Yining Hu, et al.
ICBC 2021
Industrial buildings are demonstrating increasing rates of energy consumption, with heating, ventilation, and air conditioning (HVAC) typically constituting over 50% of this consumption. However, these energy requirements are heavily influenced by weather conditions based on the season, the time of day, and different in-building activities. These activities take place in industrial setup over 24 h and have different HVAC energy requirements. In this paper, we propose a binary (0,1) integer linear programming approach to efficiently schedule activities based on weather forecasting, thus minimizing the energy required by HVAC. Experimental results show that energy consumption can be reduced by up to 30%.
Ermyas Abebe, Yining Hu, et al.
ICBC 2021
Kent Steer, Ermyas Abebe, et al.
Fire Safety Journal
Kashif Hesham Khan, Caspar Ryan, et al.
IEEE Access
Wei Emma Zhang, Quan Z. Sheng, et al.
ACM TOIT