Monthly Archives: March 2019

Scenario-based model predictive control for heating systems

Residential and commercial buildings account for around 40% of the total energy consumption [1] and heating systems in buildings represent more than half of this amount [2]. However, a large amount of energy is wasted due to bad control strategies currently implemented in office buildings. Usually, rule-based controllers are implemented and, as the name suggests,…
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