Data-driven control of micro-climate in buildings: An event-triggered reinforcement learning approach
Smart buildings have great potential for shaping an energy-efficient, sustainable, and more economic future for our planet as buildings account for approximately 40% of the global energy consumption. Future of the smart buildings lies in using sensory data for adaptive decision making and control th...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier BV,
2020-12-09T20:06:43Z.
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Subjects: | |
Online Access: | Get fulltext |