Groupe d’études et de recherche en analyse des décisions

G-2016-75

Power capacity profile estimation for building heating and cooling in demand side management

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This paper presents a new methodology to estimate power capacity profiles for smart buildings. The capacity profile can be used within a demand side management system in order to guide building temperature operation. It provides a trade-off between the quality of service perceived by the end user and the requirements from the grid in a demand response context. A data fitting approach and a multiclass classifier are used to compute the required profile to run a set of electric heating and cooling units via an admission control module. Simulation results are reported to validate the performance of the proposed methodology under different conditions, and a comparison made with neural networks in a real world-based scenario.

, 16 pages