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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 …
Leveraging deep learning to strengthen the cyber-resilience of renewable energy supply chains: A survey
MN Halgamuge - IEEE Communications Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Deep learning shows immense potential for strengthening the cyber-resilience of renewable
energy supply chains. However, research gaps in comprehensive benchmarks, real-world …
energy supply chains. However, research gaps in comprehensive benchmarks, real-world …
Real-world implementation of a cloud-based MPC for HVAC control in educational buildings
In their quest to enhance energy efficiency and carbon footprint management, many
enterprises are turning their attention towards optimizing their facilities through amplified …
enterprises are turning their attention towards optimizing their facilities through amplified …
How to improve the application potential of deep learning model in HVAC fault diagnosis: Based on pruning and interpretable deep learning method
Automated fault detection and diagnosis (AFDD) plays a crucial role in enhancing the
energy efficiency of air conditioning systems. Deep learning has emerged as a promising …
energy efficiency of air conditioning systems. Deep learning has emerged as a promising …
Adversarial discriminative domain adaptation for solar radiation prediction: A cross-regional study for zero-label transfer learning in Japan
Deep learning models are increasingly applied in the field of solar radiation prediction.
However, the substantial demand for labeled data limits their rapid application in newly …
However, the substantial demand for labeled data limits their rapid application in newly …
Energy saving and indoor temperature control for an office building using tube-based robust model predictive control
Actively controlling a building's heating, ventilation, and air conditioning (HVAC) system can
reduce costs and improve indoor comfort. Model predictive control (MPC) is an effective …
reduce costs and improve indoor comfort. Model predictive control (MPC) is an effective …
Improved robust model predictive control for residential building air conditioning and photovoltaic power generation with battery energy storage system under weather …
The rising demands for comfort alongside energy conservation underscore the importance
of intelligent air conditioning control systems. Model Predictive Control (MPC) stands out as …
of intelligent air conditioning control systems. Model Predictive Control (MPC) stands out as …
Multi-objective optimization of building HVAC operation: Advanced strategy using Koopman predictive control and deep learning
Predictive control is an effective method for addressing the increasing demand for heating,
ventilation, and air conditioning (HVAC) systems to operate with greater flexibility and …
ventilation, and air conditioning (HVAC) systems to operate with greater flexibility and …
Resource scheduling and performance analysis of hybrid renewable energy systems with carbon neutrality consideration: A scenario-based multi-agent approach
Given the increasing global consensus on carbon neutrality for sustainable development, a
key related challenge is to build a hybrid renewable energy system that simultaneously …
key related challenge is to build a hybrid renewable energy system that simultaneously …
Solutions to the insufficiency of label data in renewable energy forecasting: A comparative and integrative analysis of domain adaptation and fine-tuning
The prediction of renewable energy plays a critical role in optimizing the operation, fault
diagnosis, and other essential tasks within its energy system. Given the scarcity of labeled …
diagnosis, and other essential tasks within its energy system. Given the scarcity of labeled …