Abstract
A prevalent goal of building energy management is to search for the optimal schedule of occupants’ actions by minimizing multiple objectives pertaining to occupants’ dissatisfaction. Existing approaches have ignored the multi-modal (different schedules having the same objectives) and the multi-view (different facets of occupants’ actions related to door, window and heater) nature of the action schedules. For addressing these problem characteristics, a recent multi-modal multi-objective evolutionary algorithm, known as LORD, is customized in this work. Moreover, a decision-making strategy is proposed to consider the user preference in the decision space. This strategy also complies with the existing decision-making strategies to avoid neglecting the preference in the objective space. The superior performance of the proposed strategies on a real-world dataset establishes their effectiveness.
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Pal, M., Bandyopadhyay, S. (2021). Multi-modality of Occupants’ Actions for Multi-Objective Building Energy Management. In: Bhattacharyya, S., Dutta, P., Datta, K. (eds) Intelligence Enabled Research. Advances in Intelligent Systems and Computing, vol 1279. Springer, Singapore. https://doi.org/10.1007/978-981-15-9290-4_2
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DOI: https://doi.org/10.1007/978-981-15-9290-4_2
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