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🔗 Source: cdn.aaai.org
📊 Size: 518 KB
👤 Author: Alie El-Din Mady, Gregory M. Provan, Conor Ryan, Kenneth N. Brown
⬇️ Downloads: 53

Summary

A novel Stochastic Model Predictive Control (SMPC) algorithm is developed for building automation systems, integrating a stochastic building occupancy model to improve energy efficiency and user comfort. The SMPC strategy is compared to standard heating control methods, demonstrating a 4.3% reduction in energy use and 38.3% reduction in expected discomfort. The algorithm uses occupancy predictions as inputs for control, minimizing energy use and expected user discomfort. The SMPC approach is shown to improve user comfort while decreasing energy usage, outperforming baseline approaches such as schedule-based control and fixed schedule MPC.

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A novel Stochastic Model Predictive Control (SMPC) algorithm is developed for building automation systems, integrating a stochastic building occupancy model to...

Technical Information

  • File Format: PDF
  • File Size: 518 KB
  • Pages: 6
  • Language: EN
  • Author: Alie El-Din Mady, Gregory M. Provan, Conor Ryan, Kenneth N. Brown
  • Total Downloads: 53
  • Last Updated: 1 week ago

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