Grey-box modeling and application for building energy simulations-A critical review
Grey-box modeling, as one of the three fundamental modeling techniques for building
energy models, has many advantages compared with black-box modeling and white-box …
energy models, has many advantages compared with black-box modeling and white-box …
[HTML][HTML] Data-driven predictive control for unlocking building energy flexibility: A review
Managing supply and demand in the electricity grid is becoming more challenging due to
the increasing penetration of variable renewable energy sources. As significant end-use …
the increasing penetration of variable renewable energy sources. As significant end-use …
Field demonstration and implementation analysis of model predictive control in an office HVAC system
Abstract Model Predictive Control (MPC) is a promising technique to address growing needs
for heating, ventilation, and air-conditioning (HVAC) systems to operate more efficiently and …
for heating, ventilation, and air-conditioning (HVAC) systems to operate more efficiently and …
State of the art review on the HVAC occupant-centric control in different commercial buildings
Heating ventilation and air conditioning (HVAC) systems control that takes occupant
information into account is called HVAC occupant-centric control (OCC), which strikes better …
information into account is called HVAC occupant-centric control (OCC), which strikes better …
Physics-informed neural networks for building thermal modeling and demand response control
Buildings energy consumption constitutes over 40% of the total primary energy
consumption, and buildings can provide potential energy flexibility for the grid. In the grid …
consumption, and buildings can provide potential energy flexibility for the grid. In the grid …
A comprehensive review of predictive control strategies in heating, ventilation, and air-conditioning (HVAC): Model-free VS model
X **n, Z Zhang, Y Zhou, Y Liu, D Wang… - Journal of Building …, 2024 - Elsevier
Predictive control offers significant advantages in nonlinear control, high thermal inertia, and
dynamic control. This article uses a Systematic Reviews and Meta-Analyses methodology to …
dynamic control. This article uses a Systematic Reviews and Meta-Analyses methodology to …
Parameter identification methods for low-order gray box building energy models: A critical review
The body of knowledge on gray box building energy modeling (GBBEM) has been
developed over the past few decades and has undergone some important changes recently …
developed over the past few decades and has undergone some important changes recently …
A machine-learning-based event-triggered model predictive control for building energy management
Abstract Model predictive control (MPC) for building energy management has exhibited a
huge potential for largely cutting down energy use and improving human comfort. However …
huge potential for largely cutting down energy use and improving human comfort. However …
[HTML][HTML] Next-day prediction of hourly solar irradiance using local weather forecasts and LSTM trained with non-local data
Solar irradiance prediction is significant for maximizing energy-saving effects in the
predictive control of buildings. Several models for solar irradiance prediction have been …
predictive control of buildings. Several models for solar irradiance prediction have been …
On the feasibility of affordable high-fidelity CFD simulations for indoor environment design and control
Computational fluid dynamics (CFD) is a reliable tool for indoor environmental applications.
However, accurate CFD simulations require large computational resources, whereas …
However, accurate CFD simulations require large computational resources, whereas …