Abstract
In this paper a smart home controller proposal is formalized as a
multi-objective integer linear programming problem that minimizes energy
consumption and maximizes comfort. A comfort objective function is
tested for several tariff scenarios including one with renewable sources
as local off-grid micro-generation. The proposed model specifies best
times to activate real household appliances based on energy consumption
data, given load-limiting constraint and user preferences, by use of a
weighted aggregation function. The proposed scenarios have shown
excellent results for energy saving without a significant reduction in
comfort.
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