Data requirements and performance evaluation of model predictive control in buildings: A modeling perspective
Abstract Model predictive control (MPC) has shown great potential in improving building
performance and saving energy. However, after over 20 years of research, it is yet to be …
performance and saving energy. However, after over 20 years of research, it is yet to be …
Building thermal-network models: A comparative analysis, recommendations, and perspectives
The development of smart buildings, as well as the great need for energy demand reduction,
has renewed interest in building energy demand prediction. Intelligent controllers are a …
has renewed interest in building energy demand prediction. Intelligent controllers are a …
An artificial intelligence (AI)-driven method for forecasting cooling and heating loads in office buildings by integrating building thermal load characteristics
J Zhao, X Yuan, Y Duan, H Li, D Liu - Journal of Building Engineering, 2023 - Elsevier
Due to the thermal inertia of building envelope and random uncertainty of occupant
behaviors, real-time and accurate forecasting for building cooling and heating loads is not …
behaviors, real-time and accurate forecasting for building cooling and heating loads is not …
Imbalanced data-oriented model learning method for ultra-short-term air conditioning load prediction
Z Tian, X Lin, Y Lu, W Song, J Niu - Energy and Buildings, 2023 - Elsevier
Accurate ultra-short-term air conditioning (AC) load prediction is essential for the optimal
control of split air conditioners. However, the distribution of the AC load from different …
control of split air conditioners. However, the distribution of the AC load from different …
Identifying grey-box thermal models with Bayesian neural networks
Smart thermostats are one of the most prevalent home automation products. Despite the
importance of having an accurate thermal model for the operation of smart thermostats …
importance of having an accurate thermal model for the operation of smart thermostats …
Development and validation of a second-order thermal network model for residential buildings
Abstract Heating, Ventilation, and Air Conditioning (HVAC) systems can maintain the space
air temperature of residential buildings, either directly by heating/cooling the air, or indirectly …
air temperature of residential buildings, either directly by heating/cooling the air, or indirectly …
Use of machine learning methods for indoor temperature forecasting
Improving the energy efficiency of the building sector has become an increasing concern in
the world, given the alarming reports of greenhouse gas emissions. The management of …
the world, given the alarming reports of greenhouse gas emissions. The management of …
Detailed thermodynamic modeling of multi-zone buildings with resistive-capacitive method
F Belić, D Slišković, Ž Hocenski - Energies, 2021 - mdpi.com
Increased use of energy in buildings and HVAC systems requires advanced control
schemes like model-based control to improve energy efficiency, which in turn requires …
schemes like model-based control to improve energy efficiency, which in turn requires …
Full-response model of transient heat transfer of building walls using thermoelectric analogy method
J Duan, N Li, J Peng, C Wang, Q Liu - Journal of Building Engineering, 2022 - Elsevier
The modeling calculation of heat transfer based on a resistance and capacitance network in
building systems is relatively complex. In this study, a full-response model of the thermal …
building systems is relatively complex. In this study, a full-response model of the thermal …
Integrated building envelope performance evaluation method towards nearly zero energy buildings based on operation data
The thermal transmittance plays a decisive role in building energy efficiency design, which
determined by standard in-situ measurement are obviously not equivalent to the practical …
determined by standard in-situ measurement are obviously not equivalent to the practical …