A neural-network-enhanced parameter-varying framework for multi-objective model predictive control applied to buildings

Management of the electrical grid is becoming more complex due to the increased penetration of alternative energy generation technologies and a broadening diversity of electric loads. This complexity creates challenges in balancing demand and generation that can increase the potential for grid insta...

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Bibliographic Details

Published in:	Energy and AI
Main Authors:	Dylan Wald, Olga Doronina, Kathryn Johnson, Ryan King, Michael Sinner, Kevin Griffin, Rohit Chintala, Deepthi Vaidhynathan, Jibonananda Sanyal, Marc Day
Format:	Article
Language:	English
Published:	Elsevier 2025-09-01
Subjects:	Bayesian neural networks Online learning Parameter-varying control Model predictive control Adaptive control Building supervisory HVAC control
Online Access:	http://www.sciencedirect.com/science/article/pii/S2666546825000989