[HTML][HTML] Interpretable machine learning for building energy management: A state-of-the-art review
Abstract Machine learning has been widely adopted for improving building energy efficiency
and flexibility in the past decade owing to the ever-increasing availability of massive building …
and flexibility in the past decade owing to the ever-increasing availability of massive building …
Advanced controls on energy reliability, flexibility, resilience, and occupant-centric control for smart and energy-efficient buildings—a state-of-the-art review
Advanced controls have attracted increasing interests due to the high requirement on smart
and energy-efficient (SEE) buildings and decarbonization in the building industry with …
and energy-efficient (SEE) buildings and decarbonization in the building industry with …
Optimizing space cooling of a nearly zero energy building via model predictive control: Energy cost vs comfort
The space conditioning of buildings is liable for more than 10% of World final energy uses
and related CO2-eq emissions. Such share must be drastically reduced to pursue …
and related CO2-eq emissions. Such share must be drastically reduced to pursue …
Interpretable domain-informed and domain-agnostic features for supervised and unsupervised learning on building energy demand data
Energy demand from the built environment is among the most important contributors to
greenhouse gas emissions. One promising way to curtail these emissions is through …
greenhouse gas emissions. One promising way to curtail these emissions is through …
A review on enhancing energy efficiency and adaptability through system integration for smart buildings
The increasing need for reducing carbon emissions and promoting smart, energy-saving
buildings is fueling the rising trend of sophisticated control systems. This study provides …
buildings is fueling the rising trend of sophisticated control systems. This study provides …
Convolutional neural network with genetic algorithm for predicting energy consumption in public buildings
Due to their capacity to improve energy consumption performance, intelligent applications
have recently assumed a pivotal position in the energy management of public buildings …
have recently assumed a pivotal position in the energy management of public buildings …
Model predictive control of portable electronic devices under skin temperature constraints
H Liu, J Yu, R Wang - Energy, 2022 - Elsevier
Thermal management is becoming a major challenge for electronics, and a better
temperature control algorithm that could maximize the system performance will play a …
temperature control algorithm that could maximize the system performance will play a …
[HTML][HTML] Identification of energy management configuration concepts from a set of pareto-optimal solutions
Implementing resource efficient energy management systems in facilities and buildings
becomes increasingly important in the transformation to a sustainable society. However …
becomes increasingly important in the transformation to a sustainable society. However …
A fuzzy control method based on rule extraction for zinc leaching process of zinc hydrometallurgy
H Zhu, Y Shang, J Du, C Zhou, X Liu - Mining, Metallurgy & Exploration, 2023 - Springer
In the neutral leaching process of zinc hydrometallurgy, the pH value directly affects the
leaching rate of zinc calcine. However, due to the complex mechanism of the leaching …
leaching rate of zinc calcine. However, due to the complex mechanism of the leaching …
An hour-ahead predictive control strategy for maximizing natural ventilation in passive buildings based on weather forecasting
Y Chen, J Gao, J Yang, U Berardi, G Cui - Applied Energy, 2023 - Elsevier
Due to the increasing demands of energy conservation and emission reduction, passive
buildings with extra-low energy consumption and near zero energy consumption have …
buildings with extra-low energy consumption and near zero energy consumption have …