Nov 18, 2020 · We develop MB2C, a novel MBRL-based HVAC control system that can achieve high control performance with excellent sample efficiency.

Nov 20, 2020 · This paper proposes MB2C, a novel model-based DRL HVAC control system for multi-zone buildings. We develop a new building dy- namics model ...

Dec 31, 2019 · MB2C learns the building dynamics by employing an ensemble of environment-conditioned neural networks. It then applies a new control method, ...

MB2C is developed, a novel MBRL-based HVAC control system that can achieve high control performance with excellent sample efficiency and reduce the training ...

Feb 1, 2023 · We develop MB2C, a novel MBRL-based HVAC control system that can achieve high control performance with excellent sample efficiency.

Aug 5, 2024 · Model-Based Reinforcement Learning (MBRL) offers a significant advantage in optimizing HVAC controls compared to traditional Model ...

Nov 20, 2020 · We implement MB2C in Tensor ow, an open-source machine learning library in Python, with a 3-layer neural network as the building dynamics model ...

Title: MB2C: Model-Based Deep Reinforcement Learning for Multi-zone Building Control · Authors: Xianzhong Ding, Wan Du, Alberto E. · Venue: BuildSys@SenSys 2020 ...

May 15, 2024 · We evaluate MB2C using EnergyPlus simulations in a five-zone office building. The results show that MB2C can achieve 8.23% more energy savings ...

MB^2C: Model-Based Deep Reinforcement Learning for Multi-zone Building Control. X Ding, W Du, A Cerpa. ACM BuildSys 2020-The 7th ACM International Conference on ...