FOODIE TRIPS: If eating and drinking your way around a region is your preferred method of exploration, a foodie odyssey on Greece’s southern peninsula could be just the ticket. Clare Hargreaves gets to know the destination through her tastebuds
If eating and drinking your way around a region is your preferred method of exploration, a foodie odyssey on Greece’s southern peninsula could be just the ticket. Clare Hargreaves gets to know the destination through her tastebuds
Benchmarking Building Control Systems Thanks to Calibrated Models
Sponsored by CSEMJan 19 2021
Buildings play an important role in total energy consumption and worldwide greenhouse gas (GHG) emissions. Smart control strategies are key technological enablers for reducing the GHG footprints of buildings.
3,4 but their simple nature, combined with possible tuning errors, can lead to sub-optimal control behavior.
5 Automatized, efficient building control can significantly reduce energy consumption and emissions.
Research has been done into model predictive control (MPC),
6,7,8,9 adaptive or learning-based MPC
10 and reinforcement learning (RL)
11,12,13 but many of these studies have suffered from the non-standardized evaluation of their control performance.
Energym’s Contribution